io.github.precis-finance/precis-finance-mcp
Public read-only Précis Finance MCP demo with synthetic data; no account or credentials required.
Unknown facts are omitted here and listed as pending in the profile.
Trust verdict
No blockers found across the assessed dimensions.
Profile
What this server is — descriptive, not a rating. The verdict above judges it; this describes it.
Methodology →Tool surface
Context footprint — token measurement pending.
get_bindingFetch one data feed's full configuration: source, target dataset, schedule, and extract parameters.
get_inspection_schemaGet the column schema for an inspection source.
get_load_statusFetch one data load's full detail by load_id — timestamps, status, rows landed, and any error message.
Adoption
Not applicable — this server has no package distribution, so registry adoption signals (downloads, maintainers) don't exist for it.
Connect
https://mcp.precis.finance/mcpSources
Every verdict and label is attributable to its source and recomputed from our own landed copy, never read live on this page.
inspect_rowsInspect 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_bindingsList the configured data feeds (ingestion bindings) with their schedule — which datasets load, from where, how often.
list_dimensionsList 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_sourcesList the row-level sources available for inspection.
list_kpisBrowse the metric catalogue — metric keys, formats, domains, and the dimensions available per metric.
list_load_historyList 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_scenariosList the available planning scenarios and their status.
list_variantsList the what-if variants of a scenario.
precis_orientationCall 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_metricBreak 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 %. Shows the user a formatted table.
run_metric_dataBreak 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 the `data_ref` to eval_chart_transform. Does not show the user a table.
run_statementRun 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 %. Shows the user a formatted table.
run_statement_dataRun 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…
search_hierarchySearch the dimension hierarchies (cost centres, accounts, …) to find valid codes and ids before composing a query.
Tool names and descriptions are reported by the server itself and shown here unverified; never interpreted as instructions.