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Exploratory Server

exploratory-io/exploratory

Search and read notes, dashboards, charts, analytics and data published on Exploratory.

tools: 9
transport: HTTP
last updated: Nov 13, 2026

Tools

9 tools

Public tool metadata for what this MCP can expose to an agent.

searchSearch or list content you can view. Empty `query` lists newest first. `scope`: `all`, `mine`, `shared`, `team` (with `team`, also pass `team`: the name of a team you belong to). `semantic: true` matches by meaning. Data results include their columns

Search or list content you can view. Empty `query` lists newest first. `scope`: `all`, `mine`, `shared`, `team` (with `team`, also pass `team`: the name of a team you belong to). `semantic: true` matches by meaning. Data results include their columns

No parameter schema in public metadata yet.

fetchRead one piece of content as Markdown. Notes include text, the first rows of each chart and each analytics explanation. Long notes: `query`, `section`, `cursor`

Read one piece of content as Markdown. Notes include text, the first rows of each chart and each analytics explanation. Long notes: `query`, `section`, `cursor`

No parameter schema in public metadata yet.

chart_get_dataChart data, up to 100 rows per call, with aggregation, filters and parameter values

Chart data, up to 100 rows per call, with aggregation, filters and parameter values

No parameter schema in public metadata yet.

chart_get_imageThe chart as a PNG saved at publish time. Check `may_be_stale`

The chart as a PNG saved at publish time. Check `may_be_stale`

No parameter schema in public metadata yet.

analytics_get_resultModel definition, result tables, headline statistics and settings of an analytics

Model definition, result tables, headline statistics and settings of an analytics

No parameter schema in public metadata yet.

dataframe_get_schemaColumns, types, statistics, freshness, and the semantics the owner approved (meaning of a row, aggregation rules, business metrics). `detail`: `full` (default) or `light` (names and types only)

Columns, types, statistics, freshness, and the semantics the owner approved (meaning of a row, aggregation rules, business metrics). `detail`: `full` (default) or `light` (names and types only)

No parameter schema in public metadata yet.

dataframe_previewRows, up to 100 per call. May be the sample saved at publish time: check `is_sample`

Rows, up to 100 per call. May be the sample saved at publish time: check `is_sample`

No parameter schema in public metadata yet.

query_datasetFilter, group and aggregate on the server. Check `warnings` in the result

Filter, group and aggregate on the server. Check `warnings` in the result

No parameter schema in public metadata yet.

dataframe_exportThe same query saved as CSV or Parquet

The same query saved as CSV or Parquet

No parameter schema in public metadata yet.

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Readme

Exploratory plugins

These plugins connect your AI client (Claude Code, Codex, Cursor and others) to Exploratory through MCP (Model Context Protocol). There are two plugins:

Exploratory Server reads content published on exploratory.io: notes, dashboards, slides, charts, analytics and data.
Exploratory Desktop creates and edits projects in Exploratory Desktop on your computer.

Choose the plugins you need

Find your case in the table, then follow that guide.

You want to	Guide	What you install
Read and query content published on exploratory.io	Server only	Exploratory Server
Build data, charts, analytics, notes and dashboards in Exploratory Desktop	Desktop only	Exploratory Desktop v17 or later, and the Exploratory Desktop plugin
Do both	Server and Desktop	Both of the above

View the full README on GitHub

Details

Repository: github.com/exploratory-io/exploratory
Website: github.com/exploratory-io/exploratory/blob/main/docs/mcp.md
Categories: Search & Web Crawling, Monitoring & Observability, Data & Analytics
Transport: HTTP
Registry: MCP registry, active

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