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Data Commons Documentation
Comprehensive user and developer documentation for datacommons.org and Custom Data Commons, covering concepts, tools, and APIs for querying Data Commons and setting up custom deployments.
For agents: User and developer documentation for Data Commons: concepts, tools and APIs for querying public datasets and deploying Custom Data Commons instances.
data commonspublic datastatistical data apicustom data commonsdataset queries
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# Data Commons Documentation
> Comprehensive user and developer documentation for datacommons.org and Custom Data Commons, covering concepts, tools, and APIs for querying Data Commons and setting up custom deployments.
Links below point to GitHub raw Markdown on the master branch for the freshest agent-readable content.
- Use **Query data with agents** for MCP setup, hosted MCP usage, Gemini CLI integration, or self-hosted MCP.
- Use **Query data programmatically** for REST and Python APIs.
- Use **Build a Custom Data Commons** for local and cloud deployment, configuration, data imports, and UI customization of Custom Data Commons instances.
- Use **Background, concepts, data model** for concepts, glossary, datasets, and background material.
For a single file with all Markdown content, see <https://raw.githubusercontent.com/datacommonsorg/docsite/master/llms-full.txt>.
## Query data with agents
- [MCP - Query data interactively with an AI agent](https://raw.githubusercontent.com/datacommonsorg/docsite/master/mcp/index.md): Overview of Data Commons MCP and supported tools.
- [Use MCP tools](https://raw.githubusercontent.com/datacommonsorg/docsite/master/mcp/run_tools.md): Instructions for using Gemini CLI or another MCP-capable agent to query the hosted Data Commons MCP server.
- [Run an MCP server](https://raw.githubusercontent.com/datacommonsorg/docsite/master/mcp/host_server.md): Instructions for self-hosting an MCP server and connecting a client.
## Query data programmatically
- [API - Query data programmatically](https://raw.githubusercontent.com/datacommonsorg/docsite/master/api/index.md): Overview of programmatic integration options and API key requirements.
- [REST (V2)](https://raw.githubusercontent.com/datacommonsorg/docsite/master/api/rest/v2/index.md): Overview of common REST API features, such query syntax, filtering, and authentication.
- [Get statistical observations - REST](https://raw.githubusercontent.com/datacommonsorg/docsite/master/api/rest/v2/observation.md): REST API reference and examples for querying timeseries or observations data.
- [Resolve entities - REST](https://raw.githubusercontent.com/datacommonsorg/docsite/master/api/rest/v2/resolve.md): REST API reference and examples for resolving entities to DCIDs (Data Commons identifiers).
- [Get node properties - REST](https://raw.githubusercontent.com/datacommonsorg/docsite/master/api/rest/v2/node.md): REST API reference and examples for exploring properties and relationships of nodes in the knowledge graph.
- [Troubleshooting](https://raw.githubusercontent.com/datacommonsorg/docsite/master/api/rest/v2/troubleshooting.md): Guidance for troubleshooting API errors.
- [Migrate from V1 to V2 - REST](https://raw.githubusercontent.com/datacommonsorg/docsite/master/api/rest/v2/migration.md): Guidance for migrating from REST API V1 to V2.
- [Python (V2)](https://raw.githubusercontent.com/datacommonsorg/docsite/master/api/python/v2/index.md): Overview of the Python client l
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