Is outilsia-local-ai-advisor live?

Yes — it answered the hub's last check (checked 10m ago). It answered 100% of checks over the last 30 days.

Is outilsia-local-ai-advisor free to use?

Yes — the hub reached it with no key and no payment.

What tools does outilsia-local-ai-advisor have?

15 tools: geo_audit, explain_bottleneck, list_models_for_budget, lookup_local_model, analyze_shared_report, geo_kit, render_machine_cockpit, list_benchmark_proofs_from_report, ….

Is outilsia-local-ai-advisor 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.

_ registry / mcp streamable-http · checked 10m ago

outilsia-local-ai-advisor

https://outilsia.fr

Registry code: 3ce6e933a482a0ca

api record

OutilsIA conseille l'IA locale mais ne scanne jamais un appareil depuis ChatGPT. Utilise lookup_local_model pour identifier un modèle du catalogue public (nom ou tag Ollama). Utilise list_models_for_budget quand l'utilisateur donne surtout une VRAM ou une RAM, sans demander une fiche complète. Utilise check_pc_for_local_ai seulement avec un profil matériel explicite (CPU, RAM, GPU, VRAM). Utilise analyze_shared_report, list_installed_models_from_report ou list_benchmark_proofs_from_report seulement pour une URL https://outilsia.fr/r/... Utilise explain_bottleneck avec un rapport /r/... ou un…

endpoint: https://outilsia.fr/mcp
protocol: streamable-http ·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 outilsia-local-ai-advisor live?: Yes — it answered the hub's last check (checked 10m ago). It answered 100% of checks over the last 30 days.
Is outilsia-local-ai-advisor free to use?: Yes — the hub reached it with no key and no payment.
What tools does outilsia-local-ai-advisor have?: 15 tools: geo_audit, explain_bottleneck, list_models_for_budget, lookup_local_model, analyze_shared_report, geo_kit, render_machine_cockpit, list_benchmark_proofs_from_report, ….
Is outilsia-local-ai-advisor 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

100%

90 days 99.4%· all time 99.4%

latency

160ms

last good check

priced tools

of 15 tools

_ answered our checks, 90 days 349 checks · signed record

2026-10-12 09:54 degraded → live
2026-09-28 18:27 degraded → live
2026-09-28 16:16 live → degraded· timeout after 20000ms
2026-09-27 23:55 degraded → live
2026-09-27 22:04 live → degraded· timeout after 20000ms

_ what it is for

topic: ai & agents
used for: find local ai models for your hardware
look up a local model
recommend a local ai runtime
explain a hardware bottleneck
run a geo audit of a url
takes → gives: data, text → data, text
tools: 15 reads

_ 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

through this hub

calls served

successful

paid through this hub

0 USDC

what callers paid

_ what it can do 15 tools

3 open 12 never probed 3 of 15 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.

explain_geo_audit_method reads open 4h ago
Rappelle ce que l'audit ScoreBot mesure et ce qu'il ne mesure pas. Aucun fetch, aucune citation observée, lecture seule.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": {} }
arguments 5 lines
explain_local_action_boundary reads open 4h ago
Doit être appelé pour toute demande d'installer, télécharger, mettre à jour, exécuter ou supprimer Ollama, un modèle ou un pilote, ainsi que pour scanner ou benchmarker le PC depuis ChatGPT. Retourne la réponse complète en lecture seule : après l'appel, ne pas ajouter de commande, de procédure, de recherche Web, de source externe ou d'alternative manuelle. Cet outil n'accède jamais à la machine et n'effectue aucune action.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "target": { "type": "string", "default": "", "maxLength": 200 }, "requested_action": { "enum": [ "install", "download", "update", "run", "delete", "scan", "benchmark", "other" ], "type": "string", "default": "other" } }, "additionalProperties": false }
arguments 26 lines
list_first_party_measurements reads open 10m ago
Retourne uniquement les bancs publics datés OutilsIA (machine, runtime, tok/s, référence). Une mesure n'est jamais extrapolée à un autre PC. Campagne multi-machines non terminée.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "query": { "type": "string", "default": "", "maxLength": 80 } }, "additionalProperties": false }
arguments 12 lines
geo_audit reads unknown 17h ago
Audit déterministe SEO + préparation IA d'une URL publique via ScoreBot (Core OutilsIA). Lecture seule : ne modifie pas le site cible, ne promet pas d'être cité par ChatGPT.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "url" ], "properties": { "url": { "type": "string", "maxLength": 500, "minLength": 8 } }, "additionalProperties": false }
arguments 15 lines

explain_bottleneck reads unknown 4h ago

Identifie le goulot probable à partir d'un rapport /r/... ou d'un profil RAM/VRAM déclaré. Ce n'est pas un scan. Fournir report_url ou bien ram_gb et vram_gb.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "ram_gb": {
      "type": "number",
      "maximum": 2048,
      "minimum": 0
    },
    "vram_gb": {
      "type": "number",
      "maximum": 512,
      "minimum": 0
    },
    "cpu_name": {
      "type": "string",
      "maxLength": 200,
      "minLength": 2
    },
    "gpu_name": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1
    },
    "cpu_cores": {
      "type": "integer",
      "maximum": 512,
      "minimum": 1
    },
    "report_url": {
      "type": "string",
      "format": "uri",
      "maxLength": 500
    },
    "unified_memory": {
      "type": "boolean"
    },
    "storage_free_gb": {
      "type": "number",
      "maximum": 1000000,
      "minimum": 0
    }
  },
  "additionalProperties": false
}

arguments 45 lines

list_models_for_budget reads unknown 2h ago

Filtre le catalogue public selon une VRAM, une RAM optionnelle et un usage. Estimation catalogue uniquement : pas un scan, pas un benchmark, pas de tokens/s inventés.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "vram_gb"
  ],
  "properties": {
    "usage": {
      "enum": [
        "polyvalent",
        "assistant",
        "code",
        "francais",
        "portable",
        "image",
        "gros_modeles"
      ],
      "type": "string",
      "default": "polyvalent"
    },
    "ram_gb": {
      "type": "number",
      "maximum": 2048,
      "minimum": 0
    },
    "vram_gb": {
      "type": "number",
      "maximum": 512,
      "minimum": 0
    },
    "unified_memory": {
      "type": "boolean"
    },
    "storage_free_gb": {
      "type": "number",
      "maximum": 1000000,
      "minimum": 0
    }
  },
  "additionalProperties": false
}

arguments 41 lines

lookup_local_model reads unknown 2h ago

Cherche un modèle dans le catalogue public OutilsIA (nom, taille ou tag Ollama). Ce n'est pas un scan et l'outil n'invente aucun tokens/s.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "maxLength": 80,
      "minLength": 2
    }
  },
  "additionalProperties": false
}

arguments 15 lines

analyze_shared_report reads unknown 17h ago

Lit un rapport public OutilsIA Local Cockpit déjà créé par l'utilisateur. Accepte uniquement une URL exacte https://outilsia.fr/r/... et ne donne aucun accès à la machine.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "report_url"
  ],
  "properties": {
    "usage": {
      "enum": [
        "polyvalent",
        "assistant",
        "code",
        "francais",
        "portable",
        "image",
        "gros_modeles"
      ],
      "type": "string",
      "default": "polyvalent"
    },
    "report_url": {
      "type": "string",
      "format": "uri",
      "maxLength": 500
    }
  },
  "additionalProperties": false
}

arguments 28 lines

geo_kit reads unknown 17h ago

Génère un kit GEO lecture seule à partir d'une URL publique : llms.txt, verdict robots IA, schemas JSON-LD. N'écrit rien sur le site cible et n'appelle aucun modèle.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "url"
  ],
  "properties": {
    "url": {
      "type": "string",
      "maxLength": 500,
      "minLength": 8
    }
  },
  "additionalProperties": false
}

arguments 15 lines

render_machine_cockpit reads unknown 10m ago

Affiche sans recalculer une décision produite par un outil OutilsIA de cette app.

mcp-tool

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{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "decision"
  ],
  "properties": {
    "decision": {
      "type": "object",
      "required": [
        "schema_version",
        "decision_type",
        "title",
        "verdict",
        "usage",
        "source",
        "machine",
        "score",
        "recommended_models",
        "benchmark_evidence",
        "purchase",
        "blocked_next",
        "links",
        "limits"
      ],
      "properties": {
        "links": {
          "type": "array",
          "items": {
            "type": "object",
            "required": [
              "label",
              "url",
              "kind"
            ],
            "properties": {
              "url": {
                "type": "string",
                "format": "uri"
              },
              "kind": {
                "type": "string"
              },
              "label": {
                "type": "string"
              }
            },
            "additionalProperties": false
          }
        },
        "score": {
          "type": "object",
          "required": [
            "value",
            "label",
            "summary"
          ],
          "properties": {
            "label": {
              "type": "string"
            },
            "value": {
              "type": "number"
            },
            "summary": {
              "type": "string"
            }
          },
          "additionalProperties": false
        },
        "title": {
          "type": "string"
        },
        "usage": {
          "enum": [
            "polyvalent",
            "assistant",
            "code",
            "francais",
            "portable",
            "image",
            "gros_modeles"
          ],
          "type": "string"
        },
        "limits": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "source": {
          "type": "object",
          "required": [
            "kind",
            "label",
            "is_real_scan"
          ],
          "properties": {
            "kind": {
              "enum": [
                "declared_profile",
                "shared_report",
                "upgrade_simulation"
              ],
              "type": "string"
            },
            "label": {
              "type": "string"
            },
            "is_real_scan": {
              "type": "boolean"
            }
          },
          "additionalProperties": false
        },
        "machine": {
          "type": "object",
          "required": [
            "cpu",
            "cpu_cores",
            "ram_gb",
            "gpu",
            "gpu_vendor",
            "vram_gb",
            "unified_memory",
            "storage_free_gb",
            "storage_status",
            "os"
          ],
          "properties": {
            "os": {
              "type": "string"
            },
            "cpu": {
              "type": "string"
            },
            "gpu": {
              "type": "string"
            },
            "ram_gb": {
              "type": "number"
            },
            "vram_gb": {
              "type": "number"
            },
            "cpu_cores": {
              "type": "number"
            },
            "gpu_vendor": {
              "type": "string"
            },
            "storage_status": {
              "enum": [
                "unknown",
                "measured"
              ],
              "type": "string"
            },
            "unified_memory": {
              "type": "boolean"
            },
            "storage_free_gb": {
              "type": [
                "number",
                "null"
              ]
            }
          },
          "additionalProperties": false
        },
        "verdict": {
          "type": "string"
        },
        "purchase": {
          "type": "object",
          "required": [
            "priority",
            "headline",
            "summary",
            "upgrade"
          ],
          "properties": {
            "summary": {
              "type": "string"
            },
            "upgrade": {
              "anyOf": [
                {
                  "type": "object",
                  "required": [
                    "name",
                    "summary",
                    "target_vram_gb",
                    "target_ram_gb",
                    "price",
                    "guide_url"
                  ],
                  "properties": {
                    "name": {
                      "type": "string"
                    },
                    "price": {
                      "type": "string"
                    },
                    "summary": {
                      "type": "string"
                    },
                    "component": {
                      "type": "string"
                    },
                    "guide_url": {
                      "type": "string"
                    },
                    "target_ram_gb": {
                      "type": "number"
                    },
                    "target_vram_gb": {
                      "type": "number"
                    }
                  },
                  "additionalProperties": false
                },
                {
                  "type": "null"
                }
              ]
            },
            "headline": {
              "type": "string"
            },
            "priority": {
              "type": "string"
            },
            "facts_used": {
              "type": "array",
              "items": {
                "type": "string"
              }
            }
          },
          "additionalProperties": false
        },
        "score_gain": {
          "type": "number"
        },
        "blocked_next": {
          "type": "array",
          "items": {
            "type": "object",
            "required": [
              "name",
              "params",
              "required_vram_gb",
              "reason"
            ],
            "properties": {
              "name": {
                "type": "string"
              },
              "params": {
                "type": "string"
              },
              "reason": {
                "type": "string"
              },
              "required_vram_gb": {
                "type": "number"
              }
            },
            "additionalProperties": false
          }
        },
        "decision_type": {
          "enum": [
            "compatibility",
            "upgrade_simulation"
          ],
          "type": "string"
        },
        "baseline_score": {
          "$ref": "#/properties/decision/properties/score"
        },
        "schema_version": {
          "type": "string",
          "const": "outilsia.chatgpt.decision.v1"
        },
        "unlocked_models": {
          "type": "array",
          "items": {
            "$ref": "#/properties/decision/properties/recommended_models/items"
          }
        },
        "simulated_target": {
          "type": "object",
          "required": [
            "ram_gb",
            "vram_gb"
          ],
          "properties": {
            "ram_gb": {
              "type": "number"
            },
            "vram_gb": {
              "type": "number"
            }
          },
          "additionalProperties": false
        },
        "benchmark_evidence": {
          "anyOf": [
            {
              "type": "object",
              "required": [
                "model",
                "tokens_per_second",
                "elapsed_ms",
                "measured"
              ],
              "properties": {
                "model": {
                  "type": "string"
                },
                "measured": {
                  "type": "boolean"
                },
                "elapsed_ms": {
                  "type": "number"
                },
                "tokens_per_second": {
                  "type": "number"
                }
              },
              "additionalProperties": false
            },
            {
              "type": "null"
            }
          ]
        },
        "recommended_models": {
          "type": "array",
          "items": {
            "type": "object",
            "required": [
              "name",
              "params",
              "status",
              "label",
              "vram_q4_gb",
              "ollama",
              "reason"
            ],
            "properties": {
              "fit": {
                "enum": [
                  "full_gpu_fit",
                  "partial_offload",
                  "cpu_offload_heavy",
                  "storage_only",
                  "blocked",
                  "unknown"
                ],
                "type": "string"
              },
              "name": {
                "type": "string"
              },
              "label": {
                "type": "string"
              },
              "ollama": {
                "type": "string"
              },
              "params": {
                "type": "string"
              },
              "reason": {
                "type": "string"
              },
              "status": {
                "type": "string"
              },
              "estimated": {
                "type": "boolean"
              },
              "fit_label": {
                "type": "string"
              },
              "vram_q4_gb": {
                "type": "number"
              }
            },
            "additionalProperties": false
          }
        }
      },
      "additionalProperties": false
    }
  },
  "additionalProperties": false
}

arguments 402 lines

list_benchmark_proofs_from_report reads unknown 7h ago
Retourne seulement les tokens/s déjà mesurés dans un rapport public https://outilsia.fr/r/... Si le rapport n'a pas de preuve, l'outil le dit et n'invente aucune vitesse.

mcp-tool
{ "type": "object", "$schema": "http://json-schema.org/draft-07/schema#", "required": [ "report_url" ], "properties": { "report_url": { "type": "string", "format": "uri", "maxLength": 500 } }, "additionalProperties": false }
arguments 15 lines

recommend_runtime reads unknown never probed

Choisit un chemin runtime à partir d'un OS, d'une VRAM et d'une RAM déclarés. Ce n'est pas une installation, pas un scan et pas un benchmark.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "properties": {
    "usage": {
      "enum": [
        "polyvalent",
        "assistant",
        "code",
        "francais",
        "portable",
        "image",
        "gros_modeles"
      ],
      "type": "string",
      "default": "polyvalent"
    },
    "ram_gb": {
      "type": "number",
      "maximum": 2048,
      "minimum": 0
    },
    "os_name": {
      "type": "string",
      "maxLength": 120
    },
    "vram_gb": {
      "type": "number",
      "maximum": 512,
      "minimum": 0
    },
    "unified_memory": {
      "type": "boolean"
    }
  },
  "additionalProperties": false
}

arguments 37 lines

check_pc_for_local_ai reads unknown 7h ago

Estime quels modèles IA locaux conviennent à partir de caractéristiques que l'utilisateur fournit explicitement. Ce n'est pas un scan et l'outil ne doit pas être appelé si CPU, RAM, GPU et VRAM manquent.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "cpu_name",
    "ram_gb",
    "gpu_name",
    "vram_gb"
  ],
  "properties": {
    "usage": {
      "enum": [
        "polyvalent",
        "assistant",
        "code",
        "francais",
        "portable",
        "image",
        "gros_modeles"
      ],
      "type": "string",
      "default": "polyvalent"
    },
    "ram_gb": {
      "type": "number",
      "maximum": 2048,
      "minimum": 1
    },
    "os_name": {
      "type": "string",
      "maxLength": 120
    },
    "vram_gb": {
      "type": "number",
      "maximum": 512,
      "minimum": 0
    },
    "cpu_name": {
      "type": "string",
      "maxLength": 200,
      "minLength": 2
    },
    "gpu_name": {
      "type": "string",
      "maxLength": 200,
      "minLength": 1
    },
    "cpu_cores": {
      "type": "integer",
      "maximum": 512,
      "minimum": 1
    },
    "gpu_vendor": {
      "type": "string",
      "maxLength": 80
    },
    "unified_memory": {
      "type": "boolean"
    },
    "storage_free_gb": {
      "type": "number",
      "maximum": 1000000,
      "minimum": 0
    }
  },
  "additionalProperties": false
}

arguments 67 lines

list_installed_models_from_report reads unknown 7h ago

Lit uniquement les modèles installés déjà présents dans un rapport public https://outilsia.fr/r/... N'accède pas à la machine et n'installe rien.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "report_url"
  ],
  "properties": {
    "report_url": {
      "type": "string",
      "format": "uri",
      "maxLength": 500
    }
  },
  "additionalProperties": false
}

arguments 15 lines

simulate_hardware_upgrade reads unknown 10m ago

Compare le même profil avant et après une hausse de RAM ou VRAM. La simulation ne modifie rien et doit conclure qu'aucun achat n'est utile si le catalogue ne montre pas de gain.

mcp-tool

{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "profile"
  ],
  "properties": {
    "usage": {
      "enum": [
        "polyvalent",
        "assistant",
        "code",
        "francais",
        "portable",
        "image",
        "gros_modeles"
      ],
      "type": "string",
      "default": "polyvalent"
    },
    "profile": {
      "type": "object",
      "required": [
        "cpu_name",
        "ram_gb",
        "gpu_name",
        "vram_gb"
      ],
      "properties": {
        "ram_gb": {
          "type": "number",
          "maximum": 2048,
          "minimum": 1
        },
        "os_name": {
          "type": "string",
          "maxLength": 120
        },
        "vram_gb": {
          "type": "number",
          "maximum": 512,
          "minimum": 0
        },
        "cpu_name": {
          "type": "string",
          "maxLength": 200,
          "minLength": 2
        },
        "gpu_name": {
          "type": "string",
          "maxLength": 200,
          "minLength": 1
        },
        "cpu_cores": {
          "type": "integer",
          "maximum": 512,
          "minimum": 1
        },
        "gpu_vendor": {
          "type": "string",
          "maxLength": 80
        },
        "unified_memory": {
          "type": "boolean"
        },
        "storage_free_gb": {
          "type": "number",
          "maximum": 1000000,
          "minimum": 0
        }
      },
      "additionalProperties": false
    },
    "target_ram_gb": {
      "type": "number",
      "maximum": 2048,
      "minimum": 1
    },
    "target_vram_gb": {
      "type": "number",
      "maximum": 512,
      "minimum": 0
    }
  },
  "additionalProperties": false
}

arguments 86 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.

Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
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.
Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 3ce6e933a482a0ca.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/3ce6e933a482a0ca/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

[![measured by brick.blue](https://brick.blue/api/v1/agents/3ce6e933a482a0ca/badge.svg)](https://brick.blue/agent/3ce6e933a482a0ca?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

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.