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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "precis-finance-mcp": {
      "type": "http",
      "url": "https://mcp.precis.finance/mcp"
    }
  }
}

claude mcp add --transport http precis-finance-mcp https://mcp.precis.finance/mcp

[mcp_servers.precis-finance-mcp]
url = "https://mcp.precis.finance/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "precis-finance-mcp": {
      "type": "remote",
      "url": "https://mcp.precis.finance/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "precis-finance-mcp": {
      "type": "http",
      "url": "https://mcp.precis.finance/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=precis-finance-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLnByZWNpcy5maW5hbmNlL21jcCJ9"
}

{
  "servers": {
    "precis-finance-mcp": {
      "type": "http",
      "url": "https://mcp.precis.finance/mcp"
    }
  }
}

{
  "mcpServers": {
    "precis-finance-mcp": {
      "httpUrl": "https://mcp.precis.finance/mcp"
    }
  }
}

extensions:
  "precis-finance-mcp":
    enabled: true
    name: "precis-finance-mcp"
    type: streamable_http
    uri: "https://mcp.precis.finance/mcp"
    timeout: 300

Quality 80 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene86 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations19 of 20 tools declare readOnlyHint or destructiveHint
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_inspection_schema (idempotentHint); list_kpis (idempotentHint); inspect_rows (idempotentHint); …
pass
tools.token_costabout 3,302 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability75 · weight 15

warn
stability.changes19 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

20 tools, about 3,302 tokens to load them all · tool set 64c306c2c51e · tools last changed 2026-10-09 · checked 2026-10-21 04:51 UTC

Tool changes

2026-10-09get_bindingchangedannotations
2026-10-09list_bindingschangedannotations
2026-10-09get_load_statuschangedannotations
2026-10-09list_load_historychangedannotations
2026-10-09get_file_downloadadded
Renew a download capability for an available, owned artifact.
2026-10-09export_datasetadded
Export a cached data_ref to json or xlsx without rerunning the query; returns a temporary file and download link.
2026-10-09eval_chart_transformadded
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.
2026-10-09list_variantschangedannotations
2026-10-09list_dimensionschangedannotations
2026-10-09search_hierarchychangedannotations

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 97 / 100

provenance90

liveness100

freshness100

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% +updated-12d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcp.precis.finance/mcp` streamable-http	none	yes	100%	484 ms	2025-06-18	2026-10-21

Tools (20)

`eval_chart_transform`read-only	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.
`export_dataset`	Export a cached data_ref to json or xlsx without rerunning the query; returns a temporary file and download link.
`get_binding`read-only	Fetch one data feed's full configuration: source, target dataset, schedule, and extract parameters.
`get_file_download`read-only	Renew a download capability for an available, owned artifact.
`get_inspection_schema`read-only	Get the column schema for an inspection source.
`get_load_status`read-only	Fetch one data load's full detail by load_id — timestamps, status, rows landed, and any error message.
`inspect_rows`read-only	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.
`list_bindings`read-only	List the configured data feeds (ingestion bindings) with their schedule — which datasets load, from where, how often.
`list_dimensions`read-only	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.
`list_inspection_sources`read-only	List the row-level sources available for inspection.
`list_kpis`read-only	Browse the metric catalogue — metric keys, formats, domains, and the dimensions available per metric.
`list_load_history`read-only	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?".
`list_scenarios`read-only	List the available planning scenarios and their status.
`list_variants`read-only	List the what-if variants of a scenario.
`precis_orientation`	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.
`run_metric`read-only	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.
`run_metric_data`read-only	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.
`run_statement`read-only	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.
`run_statement_data`read-only	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.
`search_hierarchy`read-only	Search the dimension hierarchies (cost centres, accounts, …) to find valid codes and ids before composing a query.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.precis-finance/precis-finance-mcp",
  "title": "Précis Finance MCP",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.precis.finance/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "0.3.0",
  "repository": {
    "url": "https://github.com/precis-finance/precis-finance-mcp",
    "source": "github"
  },
  "websiteUrl": "https://precis.finance/mcp",
  "description": "Public read-only Précis Finance MCP demo with synthetic data; no account or credentials required."
}