_ registry / mcp http-sse · checked 45m ago

andré

https://mcp.andre.vote

Registry code: 78d6acd2006fce76

api record

André est un agent d'analyse électorale française. Il donne accès aux résultats de 55 élections (1999-2026) au niveau bureau de vote, avec des données socio-démographiques, des cartes électorales et des outils d'analyse avancés.

endpoint
https://mcp.andre.vote/mcp
protocol
http-sse ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is andré live?
Yes — it answered the hub's last check (checked 45m ago). It answered 99% of checks over the last 30 days.
Is andré free to use?
Yes — the hub reached it with no key and no payment.
What tools does andré have?
11 tools: query_elections, query_elus, query_dlp, query_sociodem, simulate_fusions, query_admin, generate_map, export_data, ….
Is andré safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.3%

90 days 99.3%· all time 99.3%

latency
473ms

last good check

priced tools
0

of 11 tools

_ answered our checks, 90 days 273 checks · signed record
  • degraded → live
  • live → degraded· HTTP 502
  • degraded → live
  • live → degraded· timeout after 20000ms
  • unknown → live
_ what it is for
topic
government & legal public records & government
used for
  • query french election results
  • generate an electoral map
  • get socio-demographic data by polling station
  • look up french elected officials
  • simulate municipal list mergers
takes → gives
text, data → data, images, documents
tools
10 reads1 changes data
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

inferred, not observed

Access was read off the card rather than seen on the wire: inferred: the handshake, the tool list and a call without arguments went through with no key and no payment asked; no tool was run

_ what it can do 11 tools
11 never probed 0 of 11 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • query_elections reads unknown 17h ago

    Requête les données électorales françaises (1999-2026). Niveaux territoriaux : NATIONAL (aucun filtre), RÉGIONAL (region_code), DÉPARTEMENTAL (departement_code), COMMUNAL (commune_code). Actions de base : list_elections, query_results, list_bureaux, query_bureau, query_by_bureau, rank_bureaux, list_circonscriptions, query_circonscription, list_cantons, query_canton, search_candidate, query_candidatures, etc. Actions « panel » (1 appel = analyse complète, évite les boucles) : - compare_elections : compare deux scrutins pour un territoire (election_id + compare_to_election + commune_code|departement_code, candidate_name optionnel). - query_all_circonscriptions : vainqueur de CHAQUE circonscription d'un territoire en un appel (election_id + commune_code|departement_code, législatives uniquement). - vote_reserve : score d'une famille + abstention par bureau de vote sur les scrutins récents comparables (commune_code + famille). - select_communes : sélectionne/classe des communes par critères géo + population + électoraux (region_code/departement_code/epci/commune_codes, population_min/max, commune_metric, condition, sort_by, limit, order ; commune_metric/condition nécessitent election_id). commune_metric accepte PLUSIEURS métriques séparées par des virgules — une colonne chacune, en un seul appel ; condition et sort_by portent alors sur la première. - cross_election_panel : évolution d'un sujet (famille ou nuance_code) par commune sur N scrutins (elections=ids séparés par des virgules + scope optionnel commune_code/departement_code/region_code/commune_codes ; SANS scope = national, panel complet en data_file). Renvoie aussi « ensemble » : score du périmètre entier par scrutin + delta, pondéré par les exprimés — ne pas boucler par département. famille et nuance_code acceptent PLUSIEURS sujets séparés par des virgules ('Gauche,Droite') : tous en un appel, agrégats dans « ensembles ». group_by='region'| 'departement' ajoute un agrégat pondéré PAR MAILLE dans le même appel — ne jamais boucler un appel par région. - bureau_breakdown : pivot par bureau (top_n nuances/blocs + participation, with_sociodem optionnel) pour commune_code + election_id.

    mcp-tool

    {
  "type": "object",
  "title": "query_electionsArguments",
  "required": [
    "action"
  ],
  "properties": {
    "epci": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Epci",
      "default": null
    },
    "tour": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Tour",
      "default": null
    },
    "limit": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Limit",
      "default": null
    },
    "order": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Order",
      "default": null
    },
    "top_n": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Top N",
      "default": null
    },
    "action": {
      "type": "string",
      "title": "Action"
    },
    "offset": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Offset",
      "default": null
    },
    "famille": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Famille",
      "default": null
    },
    "sort_by": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sort By",
      "default": null
    },
    "group_by": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Group By",
      "default": null
    },
    "bureau_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Bureau Id",
      "default": null
    },
    "by_family": {
      "type": "boolean",
      "title": "By Family",
      "default": false
    },
    "condition": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Condition",
      "default": null
    },
    "elections": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Elections",
      "default": null
    },
    "bureau_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Bureau Code",
      "default": null
    },
    "canton_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Canton Code",
      "default": null
    },
    "election_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Election Id",
      "default": null
    },
    "family_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Family Name",
      "default": null
    },
    "list_search": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "List Search",
      "default": null
    },
    "nuance_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Nuance Code",
      "default": null
    },
    "rank_metric": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Rank Metric",
      "default": null
    },
    "region_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Region Code",
      "default": null
    },
    "commune_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Commune Code",
      "default": null
    },
    "nuance_level": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Nuance Level",
      "default": null
    },
    "scrutin_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Scrutin Type",
      "default": null
    },
    "commune_codes": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Commune Codes",
      "default": null
    },
    "with_sociodem": {
      "type": "boolean",
      "title": "With Sociodem",
      "default": false
    },
    "candidate_name": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Candidate Name",
      "default": null
    },
    "commune_metric": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Commune Metric",
      "default": null
    },
    "population_max": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Population Max",
      "default": null
    },
    "population_min": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Population Min",
      "default": null
    },
    "candidate_query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Candidate Query",
      "default": null
    },
    "use_ferd_coding": {
      "type": "boolean",
      "title": "Use Ferd Coding",
      "default": false
    },
    "candidate_search": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Candidate Search",
      "default": null
    },
    "departement_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Departement Code",
      "default": null
    },
    "compare_to_election": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Compare To Election",
      "default": null
    },
    "circonscription_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Circonscription Code",
      "default": null
    }
  }
}
    arguments 424 lines
  • query_elus reads unknown 17h ago

    Requête les élus de la République française (base BRÉF). Actions : search_elu, list_mandate_types, list_elus.

    mcp-tool

    {
  "type": "object",
  "title": "query_elusArguments",
  "required": [
    "action"
  ],
  "properties": {
    "action": {
      "type": "string",
      "title": "Action"
    },
    "search_term": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Search Term",
      "default": null
    },
    "mandate_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Mandate Type",
      "default": null
    },
    "departement_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Departement Code",
      "default": null
    }
  }
}
    arguments 49 lines
  • query_dlp reads unknown 45m ago

    Requête les données DLP (composition sociale des candidats municipaux 2020). ~546 000 candidats dans ~10 000 communes (≥1 000 hab.). Classes : CDOM (dominant), CMOY (moyen), CSUB (subalterne), RET (retraité), AUTRES. Actions : summary, composition, parite, listes, candidats, professions, sortants.

    mcp-tool

    {
  "type": "object",
  "title": "query_dlpArguments",
  "required": [
    "action"
  ],
  "properties": {
    "sexe": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Sexe",
      "default": null
    },
    "action": {
      "type": "string",
      "title": "Action"
    },
    "classe": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Classe",
      "default": null
    },
    "search": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Search",
      "default": null
    },
    "tetes_only": {
      "type": "boolean",
      "title": "Tetes Only",
      "default": false
    },
    "commune_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Commune Code",
      "default": null
    },
    "sortants_only": {
      "type": "boolean",
      "title": "Sortants Only",
      "default": false
    },
    "departement_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Departement Code",
      "default": null
    }
  }
}
    arguments 83 lines
  • query_sociodem reads unknown 45m ago

    Requête les données socio-démographiques au niveau bureau de vote. Données INSEE RP 2022 + Filosofi 2021, interpolées IRIS→BDV. Actions : list_variables, profile, indices, rank, compare.

    mcp-tool

    {
  "type": "object",
  "title": "query_sociodemArguments",
  "required": [
    "action"
  ],
  "properties": {
    "order": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Order",
      "default": null
    },
    "action": {
      "type": "string",
      "title": "Action"
    },
    "variable": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Variable",
      "default": null
    },
    "commune_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Commune Code",
      "default": null
    },
    "commune_codes": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Commune Codes",
      "default": null
    }
  }
}
    arguments 61 lines
  • simulate_fusions reads unknown 45m ago

    Simule les scénarios de fusion de listes municipales entre T1 et T2. Actions : 'status' (classer les listes après T1), 'simulate' (projections T2). Uniquement pour les élections municipales.

    mcp-tool

    {
  "type": "object",
  "title": "simulate_fusionsArguments",
  "required": [
    "action",
    "election_id",
    "commune_code"
  ],
  "properties": {
    "action": {
      "type": "string",
      "title": "Action"
    },
    "election_id": {
      "type": "string",
      "title": "Election Id"
    },
    "report_rate": {
      "type": "number",
      "title": "Report Rate",
      "default": 0.75
    },
    "commune_code": {
      "type": "string",
      "title": "Commune Code"
    }
  }
}
    arguments 28 lines
  • query_admin reads unknown never probed

    Requête les divisions administratives françaises. Actions : search_commune, get_commune, search_postal, list_epci, get_epci, list_cantons, list_departements, list_regions.

    mcp-tool

    {
  "type": "object",
  "title": "query_adminArguments",
  "required": [
    "action"
  ],
  "properties": {
    "action": {
      "type": "string",
      "title": "Action"
    },
    "epci_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Epci Code",
      "default": null
    },
    "postal_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Postal Code",
      "default": null
    },
    "search_term": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Search Term",
      "default": null
    },
    "commune_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Commune Code",
      "default": null
    },
    "departement_code": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Departement Code",
      "default": null
    }
  }
}
    arguments 73 lines
  • generate_map reads unknown never probed

    Génère une carte électorale (PNG) pour une élection. Paramètres : - election_id : identifiant élection (ex: '2024_legi_t1', '2020_muni_t2') - metric : 'family' (famille politique en tête) ou 'nuance' (score d'une nuance) - geography : 'bv' (bureau de vote, défaut) ou 'commune' (carte nationale) - department : code département (ex: '13'). Requis pour geography='bv' sauf si commune fourni. - commune : code commune (ex: '13055' pour Marseille). Centre la carte sur cette commune. - nuance : code nuance quand metric='nuance' (ex: 'RN', 'LFI', 'ENS') - region : code région pour geography='commune' (ex: '93' pour PACA) Exemples : - Carte par famille, Bouches-du-Rhône : election_id='2024_legi_t1', department='13' - Carte score RN, Marseille : election_id='2024_legi_t1', commune='13055', metric='nuance', nuance='RN' - Carte nationale : election_id='2024_euro_t1', geography='commune'

    mcp-tool

    {
  "type": "object",
  "title": "generate_mapArguments",
  "required": [
    "election_id"
  ],
  "properties": {
    "canton": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Canton",
      "default": null
    },
    "metric": {
      "type": "string",
      "title": "Metric",
      "default": "family"
    },
    "nuance": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Nuance",
      "default": null
    },
    "region": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Region",
      "default": null
    },
    "commune": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Commune",
      "default": null
    },
    "geography": {
      "type": "string",
      "title": "Geography",
      "default": "bv"
    },
    "department": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Department",
      "default": null
    },
    "election_id": {
      "type": "string",
      "title": "Election Id"
    },
    "circonscription": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Circonscription",
      "default": null
    }
  }
}
    arguments 95 lines
  • export_data changes data unknown never probed

    Exporte des données électorales vers un fichier téléchargeable (CSV, JSON, TSV). Deux modes : data (contenu inline) ou source_path (chemin vers fichier existant).

    mcp-tool

    {
  "type": "object",
  "title": "export_dataArguments",
  "required": [
    "filename"
  ],
  "properties": {
    "data": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Data",
      "default": null
    },
    "filename": {
      "type": "string",
      "title": "Filename"
    },
    "file_format": {
      "type": "string",
      "title": "File Format",
      "default": "csv"
    },
    "source_path": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Source Path",
      "default": null
    }
  }
}
    arguments 42 lines
  • visualize reads unknown never probed

    Crée une visualisation Plotly (retourne le spec JSON). Deux modes : - Spec libre : fournir 'spec' (dict Plotly complet {data, layout}) - Assisté : fournir chart_type + data + mappings Types supportés : bar, line, scatter, histogram, box, violin, heatmap, treemap, grouped_bar, stacked_bar, dumbbell, diverging_bar, dual_axis (x + y + y2), sankey (source + target + values), hemicycle (x=groupe, y=sièges), ternary (a + b + c = trois parts). Paramètres transversaux : subtitle (sous-titre technique), reference_line ({value, label, orientation}) pour un seuil/référence.

    mcp-tool

    {
  "type": "object",
  "title": "visualizeArguments",
  "properties": {
    "a": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "A",
      "default": null
    },
    "b": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "B",
      "default": null
    },
    "c": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "C",
      "default": null
    },
    "x": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "X",
      "default": null
    },
    "y": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Y",
      "default": null
    },
    "z": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Z",
      "default": null
    },
    "y2": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Y2",
      "default": null
    },
    "data": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "object",
            "additionalProperties": true
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Data",
      "default": null
    },
    "path": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Path",
      "default": null
    },
    "size": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Size",
      "default": null
    },
    "spec": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Spec",
      "default": null
    },
    "color": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Color",
      "default": null
    },
    "title": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Title",
      "default": null
    },
    "source": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Source",
      "default": null
    },
    "target": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Target",
      "default": null
    },
    "values": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Values",
      "default": null
    },
    "subtitle": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Subtitle",
      "default": null
    },
    "data_file": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Data File",
      "default": null
    },
    "chart_type": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Chart Type",
      "default": null
    },
    "reference_line": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Reference Line",
      "default": null
    }
  }
}
    arguments 255 lines
  • create_data_table reads unknown never probed

    Crée un tableau de données formaté à partir de données structurées. Utile pour présenter des résultats calculés ou combinés. Retourne un tableau texte formaté.

    mcp-tool

    {
  "type": "object",
  "title": "create_data_tableArguments",
  "required": [
    "title",
    "columns",
    "rows"
  ],
  "properties": {
    "rows": {
      "type": "array",
      "items": {
        "type": "object",
        "additionalProperties": true
      },
      "title": "Rows"
    },
    "title": {
      "type": "string",
      "title": "Title"
    },
    "columns": {
      "type": "array",
      "items": {
        "type": "object",
        "additionalProperties": true
      },
      "title": "Columns"
    },
    "description": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Description",
      "default": null
    }
  }
}
    arguments 43 lines
  • query_sql reads unknown never probed

    Exécute une requête SQL directe sur la base DuckDB (read-only). Tables principales : - general_results : résultats généraux par bureau de vote - candidats_results : résultats par candidat par bureau de vote - elections_disponibles : liste des élections (id_election, nb_bureaux, total_inscrits) - candidats_avec_nuances : candidats avec famille politique (si nuances enrichies) - resultats_par_famille : résultats agrégés par famille politique - communes, epci, departements, regions : divisions administratives - bv_sociodemographique : données socio-démo par bureau de vote ATTENTION — colonnes de general_results (noms avec espaces, à quoter) : id_election, id_brut_miom, "Code du département", "Code de la commune" (SANS préfixe dept, ex: '055' pour Marseille), "Libellé de la commune", Inscrits, Abstentions, Votants, Blancs, Nuls, Exprimés. PRÉFÉRER query_elections pour les analyses standard — query_sql est pour les requêtes ad hoc avancées. Exemple : SELECT id_election, ROUND(100.0 * SUM(Abstentions) / NULLIF(SUM(Inscrits), 0), 1) as abstention_pct FROM general_results WHERE "Code du département" = '13' AND "Code de la commune" = '055' GROUP BY id_election ORDER BY id_election DESC LIMIT 5

    mcp-tool

    {
  "type": "object",
  "title": "query_sqlArguments",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "title": "Query"
    }
  }
}
    arguments 13 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 78d6acd2006fce76.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/78d6acd2006fce76/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/78d6acd2006fce76/badge.svg)](https://brick.blue/agent/78d6acd2006fce76?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.