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mcp-server

MCP for CKAN: development and deployment of a Model Context Protocol (MCP) for CKAN – enabling AI-generated answers to queries to be fully traceable to their underlying datasets.

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What's in it

Data offered docs-verified
No datasets bundled; the server is a framework for registering custom data tools via Python plugins · Tool results carry structuredContent fields: sources, table, charts (in development), force
Formats docs-verified
MCP stdio · MCP streamable HTTP
Access docs-verified
Local install from source via uv (git+https://github.com/okfn/mcp-server); no authentication described; licence not stated in ENTRY or DOCS

Useful for

Use cases llm-inferred
Prototype a traceable Q&A tool over a client's open dataset by wrapping it in a custom plugin, with source links returned in structuredContent · Expose tabular results (e.g. monitoring or survey extracts) to a chat client with a table field and cited sources · Build an internal MCP plugin that answers desk-study data questions with traceable sources
Audience llm-inferred
Python developers writing MCP plugins · Data or platform admins deploying the server · Hydrologists and GIS analysts consuming tool outputs through an MCP client

Limitations

Constraints docs-verified
Early research phase; breaking changes expected · ValidationModel/DataToolOutput schema still in development; changes expected · Tools without a -> DataToolOutput return annotation are skipped at startup · Charts field is in development · DOCS do not describe CKAN integration, although the ENTRY description refers to CKAN · No UK-specific data or coverage documented; ENTRY regions say Global · No licence stated
Licence
Unknown — check provider terms
Authentication
Unknown — review source docs
GitHub stars
5
Last commit
04/09/2026
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search

mcp-server | TerraMCP