Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.

Is precis free to use?

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

What tools does precis have?

20 tools: get_binding, get_load_status, get_inspection_schema, list_variants, run_metric, precis_orientation, get_file_download, run_statement, ….

Is precis 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 2h ago

precis

https://mcp.precis.finance

Registry code: 83861250c4c69c48

api record

# Précis — Finance Intelligence (MCP connector)

You are connected to Précis, a FP&A data platform with read-only finance access for your organisation: query financial statements and metrics, inspect row-level detail, and build charts. Reporting tools come in variants — `run_statement`/`run_metric` show the user a table; `run_statement_data`/`run_metric_data` return the raw figures plus a `data_ref` for analysis or charting; `export_dataset(data_ref, format)` exports the cached snapshot to JSON or XLSX. To chart: call a `_data` tool, then `eval_chart_transform(data_refs, JS transform,…

endpoint: https://mcp.precis.finance/mcp
protocol: streamable-http ·2025-06-18
authentication: bearer
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 precis live?: Yes — it answered the hub's last check (checked 2h ago). It answered 100% of checks over the last 30 days.
Is precis free to use?: Yes — the hub reached it with no key and no payment.
What tools does precis have?: 20 tools: get_binding, get_load_status, get_inspection_schema, list_variants, run_metric, precis_orientation, get_file_download, run_statement, ….
Is precis 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

99.5%

90 days 99.2%· all time 99.2%

latency

329ms

last good check

priced tools

of 20 tools

_ answered our checks, 90 days 380 checks · signed record

2026-10-21 00:14 degraded → live
2026-10-20 23:03 live → degraded· timeout after 20000ms
2026-10-01 21:34 degraded → live
2026-10-01 19:45 live → degraded· timeout after 20000ms
2026-09-27 11:19 degraded → live

_ what it is for

topic: finance & markets accounting & tax
used for: run a profit and loss statement
break down a financial metric by dimension
inspect rows behind a figure
list planning scenarios
takes → gives: text → data
tools: 17 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 20 tools

7 open 13 never probed 7 of 20 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.

list_dimensions reads open 9h ago
List the dimensions defined in the model — keys, labels, and kinds (leaf / derived / ragged hierarchy). Catalogue metadata only; use search_hierarchy to list a dimension's members.

mcp-tool
{ "type": "object", "title": "list_dimensions", "properties": {}, "additionalProperties": false }
arguments 6 lines
list_inspection_sources reads open 23h ago
List the row-level sources available for inspection.

mcp-tool
{ "type": "object", "title": "list_inspection_sources", "properties": {}, "additionalProperties": false }
arguments 6 lines
list_kpis reads open 23h ago
Browse the metric catalogue — metric keys, formats, domains, and the dimensions available per metric.

mcp-tool
{ "type": "object", "title": "list_kpis", "properties": {}, "additionalProperties": false }
arguments 6 lines
list_scenarios reads open 18h ago
List the available planning scenarios and their status.

mcp-tool
{ "type": "object", "title": "list_scenarios", "properties": {}, "additionalProperties": false }
arguments 6 lines

list_bindings reads open 9h ago

List the configured data feeds (ingestion bindings) with their schedule — which datasets load, from where, how often.

mcp-tool

{
  "type": "object",
  "title": "list_bindings",
  "properties": {
    "target": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Target",
      "default": null
    },
    "source_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Source Id",
      "default": null
    }
  },
  "additionalProperties": false
}

arguments 31 lines

search_hierarchy reads open 9h ago

Search the dimension hierarchies (cost centres, accounts, …) to find valid codes and ids before composing a query.

mcp-tool

{
  "type": "object",
  "title": "search_hierarchy",
  "properties": {
    "limit": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Limit",
      "default": null
    },
    "query": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Query",
      "default": null
    },
    "dimension": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Dimension",
      "default": null
    }
  },
  "additionalProperties": false
}

arguments 43 lines

list_load_history reads open 23h ago

List data-load attempts from the ingestion audit trail — when each dataset landed, with what status. Answers "is April in yet?" / "when was this data last loaded?".

mcp-tool

{
  "type": "object",
  "title": "list_load_history",
  "properties": {
    "limit": {
      "type": "integer",
      "title": "Limit",
      "default": 50
    },
    "period": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period",
      "default": null
    },
    "status": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Status",
      "default": null
    },
    "binding_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Binding Id",
      "default": null
    },
    "dataset_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Dataset Id",
      "default": null
    }
  },
  "additionalProperties": false
}

arguments 60 lines

get_binding reads unknown 21h ago

Fetch one data feed's full configuration: source, target dataset, schedule, and extract parameters.

mcp-tool

{
  "type": "object",
  "title": "get_binding",
  "required": [
    "binding_id"
  ],
  "properties": {
    "binding_id": {
      "type": "string",
      "title": "Binding Id"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

get_load_status reads unknown 14h ago

Fetch one data load's full detail by load_id — timestamps, status, rows landed, and any error message.

mcp-tool

{
  "type": "object",
  "title": "get_load_status",
  "required": [
    "load_id"
  ],
  "properties": {
    "load_id": {
      "type": "string",
      "title": "Load Id"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

get_inspection_schema reads unknown 18h ago

Get the column schema for an inspection source.

mcp-tool

{
  "type": "object",
  "title": "get_inspection_schema",
  "required": [
    "source_key"
  ],
  "properties": {
    "source_key": {
      "type": "string",
      "title": "Source Key"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

list_variants reads unknown 18h ago

List the what-if variants of a scenario.

mcp-tool

{
  "type": "object",
  "title": "list_variants",
  "required": [
    "scenario_id"
  ],
  "properties": {
    "scenario_id": {
      "type": "string",
      "title": "Scenario Id"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

run_metric reads unknown never probed

Break one or more metrics down by a dimension — revenue by project, utilisation by employee, headcount trends, GL account drill-down. Rows are the dimension; columns are metrics × scenarios. Pass `scenarios` explicitly and give every scenario a concise, user-facing `alias` such as Actuals, Budget, Variance, or Var %. Returns a formatted table with structured data. The widget already displays this table to the user. Add useful interpretation; do not reproduce the table or restate all its rows in Markdown unless the user explicitly requests it or the widget is unavailable.

mcp-tool

{
  "type": "object",
  "title": "run_metric",
  "required": [
    "metrics"
  ],
  "properties": {
    "scale": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Scale",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "metrics": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Metrics"
    },
    "decimals": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Decimals",
      "default": null
    },
    "scenarios": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "object",
            "additionalProperties": true
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Scenarios",
      "default": null
    },
    "dimensions": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Dimensions",
      "default": null
    },
    "period_end": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period End",
      "default": null
    },
    "period_start": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period Start",
      "default": null
    }
  },
  "additionalProperties": false
}

arguments 109 lines

precis_orientation reads unknown never probed
Call this first. Returns how to use Précis over this connector: the data model (scenarios, metrics, statements, dimensions), the reporting-tool variants, and how to build charts. Read it before composing queries.

mcp-tool
{ "type": "object", "properties": {} }
arguments 4 lines

get_file_download unknown never probed

Renew a download capability for an available, owned artifact.

mcp-tool

{
  "type": "object",
  "title": "get_file_download",
  "required": [
    "file_id"
  ],
  "properties": {
    "file_id": {
      "type": "string",
      "title": "File Id"
    }
  },
  "additionalProperties": false
}

arguments 14 lines

run_statement reads unknown never probed

Run a financial statement — P&L, variance report, or executive summary. Rows are statement lines (Revenue, Direct Cost, Gross Margin, …); columns are scenarios. Supports an optional dimension breakdown (e.g. by period or cost centre). For an unspecified general P&L, prefer `full_pnl` when it is listed by precis_orientation. Give every scenario a concise, user-facing `alias` such as Actuals, Budget, Variance, or Var %. Returns a formatted table with structured data. The widget already displays this table to the user. Add useful interpretation; do not reproduce the table or restate all its rows in Markdown unless the user explicitly requests it or the widget is unavailable.

mcp-tool

{
  "type": "object",
  "title": "run_statement",
  "properties": {
    "scale": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Scale",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "decimals": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Decimals",
      "default": null
    },
    "scenarios": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "object",
            "additionalProperties": true
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Scenarios",
      "default": null
    },
    "statement": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Statement",
      "default": null
    },
    "dimensions": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Dimensions",
      "default": null
    },
    "period_end": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period End",
      "default": null
    },
    "period_start": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period Start",
      "default": null
    }
  },
  "additionalProperties": false
}

arguments 111 lines

run_statement_data reads unknown never probed

Run a financial statement — P&L, variance report, or executive summary. Rows are statement lines (Revenue, Direct Cost, Gross Margin, …); columns are scenarios. Supports an optional dimension breakdown (e.g. by period or cost centre). For an unspecified general P&L, prefer `full_pnl` when it is listed by precis_orientation. Give every scenario a concise, user-facing `alias` such as Actuals, Budget, Variance, or Var %. Returns the raw figures (and a `data_ref`) for your own analysis or to build a chart — pass `[data_ref]` as `data_refs` to eval_chart_transform. Does not show the user a table.

mcp-tool

{
  "type": "object",
  "title": "run_statement",
  "properties": {
    "scale": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Scale",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "decimals": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Decimals",
      "default": null
    },
    "scenarios": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "object",
            "additionalProperties": true
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Scenarios",
      "default": null
    },
    "statement": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Statement",
      "default": null
    },
    "dimensions": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Dimensions",
      "default": null
    },
    "period_end": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period End",
      "default": null
    },
    "period_start": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period Start",
      "default": null
    }
  },
  "additionalProperties": false
}

arguments 111 lines

run_metric_data reads unknown never probed

Break one or more metrics down by a dimension — revenue by project, utilisation by employee, headcount trends, GL account drill-down. Rows are the dimension; columns are metrics × scenarios. Pass `scenarios` explicitly and give every scenario a concise, user-facing `alias` such as Actuals, Budget, Variance, or Var %. Returns the raw figures (and a `data_ref`) for your own analysis or to build a chart — pass `[data_ref]` as `data_refs` to eval_chart_transform. Does not show the user a table.

mcp-tool

{
  "type": "object",
  "title": "run_metric",
  "required": [
    "metrics"
  ],
  "properties": {
    "scale": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Scale",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "metrics": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Metrics"
    },
    "decimals": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Decimals",
      "default": null
    },
    "scenarios": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "object",
            "additionalProperties": true
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Scenarios",
      "default": null
    },
    "dimensions": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Dimensions",
      "default": null
    },
    "period_end": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period End",
      "default": null
    },
    "period_start": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period Start",
      "default": null
    }
  },
  "additionalProperties": false
}

arguments 109 lines

export_dataset unknown never probed

Export a cached data_ref to json or xlsx without rerunning the query; returns a temporary file and download link.

mcp-tool

{
  "type": "object",
  "title": "export_dataset",
  "required": [
    "data_ref",
    "format"
  ],
  "properties": {
    "format": {
      "type": "string",
      "title": "Format"
    },
    "data_ref": {
      "type": "string",
      "title": "Data Ref"
    }
  },
  "additionalProperties": false
}

arguments 19 lines

inspect_rows reads unknown 21h ago

Inspect the row-level detail behind a figure, from an enabled inspection source. Returns a capped sample for reasoning plus a grid for the user.

mcp-tool

{
  "type": "object",
  "title": "inspect_rows",
  "required": [
    "source_key",
    "scenario_id"
  ],
  "properties": {
    "limit": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "title": "Limit",
      "default": null
    },
    "columns": {
      "anyOf": [
        {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        {
          "type": "null"
        }
      ],
      "title": "Columns",
      "default": null
    },
    "filters": {
      "anyOf": [
        {
          "type": "object",
          "additionalProperties": true
        },
        {
          "type": "null"
        }
      ],
      "title": "Filters",
      "default": null
    },
    "period_end": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period End",
      "default": null
    },
    "source_key": {
      "type": "string",
      "title": "Source Key"
    },
    "scenario_id": {
      "type": "string",
      "title": "Scenario Id"
    },
    "period_start": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "title": "Period Start",
      "default": null
    }
  },
  "additionalProperties": false
}

arguments 83 lines

eval_chart_transform unknown 21h ago

Create a chart from data_refs (an array of snapshot IDs), a bounded JavaScript function, and chart_spec. Supports line, bar, area, waterfall, scatter, horizontal_bar, forecast_line, cohort_heatmap and sparkline_row. Query first and inspect rows; the transform takes one result per ref and returns flat rows.

mcp-tool

{
  "type": "object",
  "title": "eval_chart_transform",
  "required": [
    "data_refs",
    "transform_code",
    "chart_spec"
  ],
  "properties": {
    "data_refs": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Data Refs"
    },
    "chart_spec": {
      "type": "object",
      "title": "Chart Spec",
      "additionalProperties": true
    },
    "transform_code": {
      "type": "string",
      "title": "Transform Code"
    }
  },
  "additionalProperties": false
}

arguments 28 lines

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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 83861250c4c69c48.

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100%

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proxied calls

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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.