data.world MCP server

MCP server that exposes data.world's catalog, glossary, lineage (via SPARQL), and SQL/SPARQL query APIs to LLM agents. Designed to run as a Databricks App.

Tools exposed

Tool	What it does
health	Liveness + token configured check
whoami	Current data.world user
list_my_datasets / list_contributing_datasets	Scope discovery
get_dataset	Full dataset metadata
search_catalog	Search public data.world catalog (POST /v0/search)
list_metadata_properties	List custom catalog properties for an owner
lookup_term	Ground-truth definition + formula + canonical table for a business term (CSV-backed glossary)
run_sql	SQL against a dataset/project
run_sparql	SPARQL against a dataset
create_insight	Persist agent findings to a data.world project

All tools work against any data.world account, including free tier. Eureka-style tools (get_resource, resolve_glossary_term, sparql_catalog) were removed — their endpoint paths in the public API could not be verified empirically against the live service.

Local dev

uv venv && source .venv/bin/activate
uv pip install -r requirements.txt

export DATA_WORLD_TOKEN=<your data.world API token>
python -m server.app

Then exercise the server with any MCP client. The MCP HTTP transport is mounted at http://localhost:8000/mcp and the health route at http://localhost:8000/health.

Deploy as a Databricks App

# 1) Create the app (name must start with mcp- to surface in AI Playground)
databricks apps create mcp-data-world -p srikar.pasumarthy

# 2) Sync source
databricks sync . /Workspace/Users/srikar.pasumarthy@databricks.com/mcp-data-world \
  --exclude .venv --exclude __pycache__ --exclude .git -p srikar.pasumarthy

# 3) Deploy
databricks apps deploy mcp-data-world \
  --source-code-path /Workspace/Users/srikar.pasumarthy@databricks.com/mcp-data-world \
  -p srikar.pasumarthy

# 4) Configure the data.world token in the App UI (App > Edit > Environment)
#    or wire it as a Databricks secret reference in app.yaml.

Once deployed, the MCP endpoint is at https://<app-url>/mcp. Add it as a custom MCP server in AI Playground / Mosaic AI agents.

Configuration

Required:

• DATA_WORLD_TOKEN — API token (Settings → Integrations → Python on data.world)

Optional:

• DATA_WORLD_API_BASE — defaults to https://api.data.world/v0
• DATABRICKS_APP_PORT — defaults to 8000

Notes on Eureka endpoints

Some catalog endpoint paths (e.g. /metadata/search/{owner}) follow public documented conventions but vary by tenant entitlement. If a tool returns 404, check your org's catalog enablement and the exact endpoint path in the data.world API reference.