Un Datacommons MCP
MCP server to query Data Commons indicators and observations (base or custom).
Connector by therealtimex · GitHub account verified by the MCP Registry
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Install
Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.
npx agentmarket install connector/therealtimex-un-datacommons-mcp
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About
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Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 3 read · 0 write · 0 deleteRead-only
- Secrets
- 1 (API keys, tokens or passwords)
- Install scripts
- Not scanned yet
- Runs as
- Python package
Tools by what they do 3
Read from the source code; the running server may list different tools.
Read 3 · Look things up without changing anything.
get_observationssearch_indicatorsvalidate_child_place_types
Secrets and settings it asks for
Secrets: values you paste in that let it act as you.
DC_API_KEY
Other settings (environment variables or headers).
CUSTOM_DC_URLDC_ROOT_TOPIC_DCIDSDC_SEARCH_SCOPEDC_TYPE
Tools (3)
Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].
get_observationsFetches observations for a statistical variable from Data Commons. **CRITICAL: Always validate variable-place combinations first** - You **MUST** call `search_indicators` first to verify that the variable exists for the specified place - Only use DCIDs returned by `search_indicators` - never guess or assume variable-place combinations - This ensures data availability and prevents errors from invalid combinations This tool can operate in two primary modes: 1. **Single Place Mode**: Get data for one specific place (e.g., "Population of California"). 2. **Child Places Mode**: Get data for all…
search_indicators**Purpose:** Search for topics and variables (collectively called "indicators") available in the Data Commons Knowledge Graph. **Core Concept: Results are Candidates** This tool returns *candidate* indicators that match your query. You must always filter and rank these results based on the user's context to find the most relevant one. **Background: Data Commons Structure** Data Commons organizes data in two main hierarchies: 1. **Topics:** A hierarchy of categories (e.g., `Health` -> `Clinical Data` -> `Medical Conditions`). Topics contain sub-topics and member variables. 2. **Places:** A …
validate_child_place_typesChecks which of the child place types are valid for the parent place. Use this tool to validate the child place types before calling get_observations for those places. Example: - For counties in Kenya, you can check for both "County" and "AdministrativeArea1" to determine which is valid. i.e. "validate_child_place_types("Kenya", ["County", "AdministrativeArea1"])" The full list of valid child place types are the following: - AdministrativeArea1 - AdministrativeArea2 - AdministrativeArea3 - AdministrativeArea4 - AdministrativeArea5 - Continent - Country - State - County - City - CensusZipC…
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Weekly downloads
- 27
- Last commit
- Sep 29, 2025 (1 year ago)
- Last release
- Sep 29, 2025 (1 year ago)
- Last package publish
- Sep 29, 2025 (1 year ago)
From GitHub (fetched Oct 24, 2026) and the package registry.
Details
- Registry name
io.github.therealtimex/un-datacommons-mcp- Version
- 1.0.1
- Auth
- API key
- Packages
- pypi un-datacommons-mcp
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Un Datacommons MCP. Agent Mart. https://agentmart.dev/connectors/therealtimex-un-datacommons-mcp (last updated 2026-10-24)