OpenDataMCP
Connect open datasets to LLMs like Claude in minutes via the Model Context Protocol.
Data verified Sep 18, 2026
Score
- Try it free
- Free plan
- Best for
- LLM Application Users
About OpenDataMCP
OpenDataMCP is an open-source project that connects public open datasets to LLM applications (starting with Claude Desktop) through the Model Context Protocol, so you can query real data like train-network disruptions directly inside a chat. It's built for developers and open-data publishers: a two-command CLI (odmcp) sets up MCP servers in a couple of clicks, while contributors use Python templates and Pydantic-typed Tools/Resources to publish new datasets. Its differentiator is the dual focus on both accessing open data and providing a community distribution network to publish it.
Screenshots


Common Use Cases
- Querying public open datasets from within an LLM chat
- Asking an LLM about train network disruptions using SBB open data
- Publishing open datasets so LLM applications can discover and use them
Details
- Pricing Model
- Free
- Category
- Data Management
Who is OpenDataMCP for?
LLM Application Users
Set up MCP data providers in Claude Desktop via the CLI to ask questions answered by real open datasets.
Open Data Publishers
Build and publish new dataset providers as Python modules using the project's templates and distribution network.
Developers
Implement Tools or Resources with Pydantic schemas, tests, and pre-commit hooks to add new data sources.
Frequently Asked Questions
Is OpenDataMCP free?
Yes, OpenDataMCP is free to use.
Does OpenDataMCP have an API?
Yes, OpenDataMCP provides an API for developers.
Is OpenDataMCP open source?
Yes, OpenDataMCP is open source.
What does OpenDataMCP integrate with?
OpenDataMCP integrates with Claude Desktop, Claude, uv, PyPI.
Who is OpenDataMCP best for?
OpenDataMCP is best suited for LLM Application Users, Open Data Publishers, Developers.
What can I use OpenDataMCP for?
Common uses for OpenDataMCP include querying public open datasets from within an llm chat, asking an llm about train network disruptions using sbb open data, publishing open datasets so llm applications can discover and use them.
How does OpenDataMCP compare to IBM API Connect?
OpenDataMCP and IBM API Connect are both used for data management -- specifically integration platforms. See the full side-by-side comparison for pricing and feature differences.
Key Features
- Open Data AccessQuery many public datasets directly from an LLM application such as Claude.
- Data PublishingContribute and distribute open datasets to LLMs using provided templates, guidelines, and a community distribution network.
- CLI setup toolInstall, list, inspect, set up, and remove MCP data providers via the odmcp command-line tool.
- Provider templatesBuild new data source modules as Tools or Resources with Pydantic input/output schemas.
Integrations
Technical Details
- Target Market
- B2B
- API
- Available
- Free Plan
- Available
Support
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