Skip to content
← Directory

mcp · Global

data360-mcp

Model Context Protocol (MCP) server that gives LLM agents and chatbots direct access to the World Bank's Data360 Platform. Search, validate, and retrieve development indicators—from GDP and poverty to gender equality and climate—with structured metadata and time-series data, without hallucinating values.

Feature or claim this listing

Feature this listing — founding Featured slots are 50% off for 6 months

Represent data360-mcp? Send a claim for review so we can discuss listing updates. Claims do not automatically grant ownership or verification.

Explore paid sponsorship →

What's in it

Data offered docs-verified
development indicators (e.g. GDP, poverty, gender equality, climate) · indicator time-series data · indicator metadata (methodology, definitions, limitations, statistical concepts) · codelists (REF_AREA, SEX, AGE, etc.) · country coverage check per indicator
Coverage llm-inferred
Global (ENTRY regions field; not stated in DOCS)
Formats docs-verified
MCP (http transport, default) · MCP (sse transport) · Python package (PyPI: data360-mcp)
Access docs-verified
Open source: MIT licence together with World Bank IGO Rider (ENTRY licence field: 'Other'). No credentials documented in ENTRY. Pricing not stated in DOCS.

Useful for

Use cases llm-inferred
Country-level socio-economic baseline indicators (GDP, poverty) for international ESIA or socio-economic chapters · Climate-related indicator context for overseas water or civils options appraisal · Agent-assisted indicator search with country coverage check before drafting a report · Retrieve indicator time series with metadata for methodology notes in technical appendices
Audience llm-inferred
AI and chatbot developers building agents on World Bank data · environmental consultants (socio-economic baselines, ESIA) · water and civils consultants working on international projects · GIS analysts

Limitations

Constraints llm-inferred
Indicator data only; no UK-specific, gauge-level or site-scale data indicated · No spatial or temporal resolution or update cadence documented · Requires a local Python install and MCP client; default endpoint is localhost · Depends on upstream Data360 API availability; stale metadata may be reused during degradation · Licence field is 'Other' (MIT plus IGO Rider); review before redistribution · Documented API calls are read-only retrievals; no write or analysis tools listed
Licence
Other
Authentication
No credentials documented in README
GitHub stars
40
Last commit
22/09/2026
Last successful page check
14/10/2026
Page health
healthy
Package
pypi:data360-mcp
Verification
Not independently verified

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 16/10/2026 · research sweep: github-search