data360-mcp
Active·★ 41·NOASSERTION·Updated 2026-09-22
This project offers a Model Context Protocol (MCP) library and server for accessing and searching the World Bank Data360 Platform. It enables AI assistants and applications to seamlessly integrate and work with Data360's extensive collection of development indicators through a standardized interface.
#Data360#World Bank#MCP#API Integration#Semantic Search#Python#AI Assistant#Data Retrieval
01
Features
01Semantic search across Data360 data with relevance scoring
02Type-safe response models with Pydantic validation
03High-performance MCP server implementation built on FastMCP
04Configurable via environment variables for API endpoints
05Modular design with separate library and server packages
02
Compatibility
Python
Runtime
Verified via docs
uv
Package Manager
Verified via docs
FastMCP
Framework
Verified via docs
World Bank Data360 API
Data Source
Verified via docs
LangChain
Integration
Verified via docs
03
Quick start
1
$ git clone <repository-url>
2
$ cd data360-mcp
3
$ uv sync
4
$ uv pip install -e data360-mcp
5
$ uv pip install -e data360-mcp-server
04
Use cases
↳Integrating World Bank development indicators into AI assistants
↳Building AI applications that require structured access to Data360
↳Performing advanced searches on Data360 with OData filters
↳Developing custom tools for LLMs to query development data
05
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