CKAN MCP Server
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- AlicenseBqualityNot gradedmaintenanceEnables AI assistants and CLI tools to explore and analyze datasets from 600+ global CKAN open-data portals. Provides comprehensive tools for dataset discovery, datastore queries, metadata analysis, and local downloads without writing custom CKAN integrations.14MIT
- AlicenseNot gradedqualityBmaintenanceEnables searching and querying Ukraine Open Data (data.gov.ua) datasets via CKAN API, allowing AI agents to retrieve dataset metadata and tabular data.21 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search and query datasets from Slovenia Open Data (podatki.gov.si) via its CKAN API, including searching datasets, retrieving metadata, and querying tabular resources.59 npmMIT

mcp-data-lvofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to search, retrieve metadata, and query tabular resources from Latvia's Open Data portal (data.gov.lv) via CKAN.23 npmMIT- AlicenseNot gradedqualityBmaintenanceEnables searching and querying Finland's open data portal (avoindata.fi) via CKAN. Supports dataset search, metadata retrieval, and tabular data queries.22 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables querying Portugal's national open data portal (dados.gov.pt) through natural language.21 npmMIT
TDQS
Scored across 20 tools
Most tools map cleanly to distinct CKAN resources (organizations, groups, tag, status, datastore), but the three dataset-search tools (ckan_package_search, ckan_find_relevant_datasets, ckan_analyze_datasets) overlap in discovery purpose. The descriptions do an excellent job of differentiating them (Solr syntax vs. relevance ranking vs. schema analysis), so confusion is unlikely but possible.
All CKAN tools follow a consistent ckan_<domain>_<verb> snake_case pattern with predictable verbs (list, show, search, get, find). Even the composite tools like ckan_find_relevant_datasets and ckan_catalog_stats fit the pattern. The lone exception, sparql_query, is arguably a different domain (generic SPARQL endpoint querying) and is reasonably named without the ckan_ prefix.
At 20 tools, this sits at the heavy end of the typical range, but the CKAN platform's read-side surface is genuinely broad: dataset discovery, resource inspection, DataStore querying, organizations, groups, tags, status, statistics, quality assessment, and portal discovery. Each tool earns its place for the stated purpose of querying open data portals.
As a read-only open-data access server, the tool surface is thorough with no dead ends. It covers the full lifecycle of a data request: portal discovery (ckan_find_portals), server verification (ckan_status_show), catalog overview (ckan_catalog_stats), dataset search (package_search, find_relevant_datasets), metadata inspection (package_show), resource assessment (list_resources, analyze_datasets), and data querying (datastore_search, datastore_search_sql). Taxonomy browsing via organizations, groups, and tags is also complete. The write-side CKAN API is absent, but that is clearly outside the server's read-only purpose.