AgentIndex icon
AgentIndex
nepa-mcp logo
nepa-mcp
★ 18
vs
data360-mcp logo
data360-mcp
★ 41

nepa-mcp vs data360-mcp

nepa-mcp: NEPA MCP is a Model Context Protocol (MCP) server layer designed to provide AI agents with structured access to extensive federal environmental, regulatory, biological, cultural, socioeconomic, and jurisdictional data. It supports NEPA screening and permitting research by integrating data from numerous federal agencies and offering capabilities like interactive map composition.; data360-mcp: 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.

01

TL;DR

nepa-mcp logo
nepa-mcpRAG / Knowledge Base · ★ 18

Assisting AI agents in NEPA screening and permitting research workflows.

Read nepa-mcp full review →
data360-mcp logo
data360-mcpRAG / Knowledge Base · ★ 41

Integrating World Bank development indicators into AI assistants

Read data360-mcp full review →
02

Side-by-Side Comparison

Field
nepa-mcp logonepa-mcp
data360-mcp logodata360-mcp
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 18
★ 41
License
BSD-3-Clause
NOASSERTION
Install Command
pipx install nepa-mcp && pipx ensurepath
git clone <repository-url> && cd data360-mcp && uv sync && uv pip install -e data360-mcp && uv pip install -e data360-mcp-server
Updated
4d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Environmental Data, Regulatory Research
Data360, World Bank, MCP
03

Features

nepa-mcp logonepa-mcp
01Provides AI agents structured access to comprehensive federal environmental and regulatory data.
02Offers 85 environmental and regulatory research capabilities through 22 MCP servers, 53 tools, and 32 GIS layers.
03Includes an interactive Map Composer for generating maps or GeoJSON exports from 32 selectable GIS overlays.
04Supports integration with popular AI clients like Codex, Claude Code, and VS Code.
data360-mcp logodata360-mcp
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
04

Use Cases

nepa-mcp logonepa-mcp
↳Assisting AI agents in NEPA screening and permitting research workflows.
↳Accessing and analyzing federal environmental, regulatory, and geospatial data for project planning.
↳Composing interactive maps or GeoJSON exports for geospatial workflows (e.g., QGIS, ArcGIS).
↳Performing environmental assessments and site screening based on various federal agency data.
data360-mcp logodata360-mcp
↳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
FAQ

FAQ

What is the difference between nepa-mcp and data360-mcp?
Both nepa-mcp and data360-mcp are in the RAG / Knowledge Base category. nepa-mcp has 18 stars, while data360-mcp has 41 stars.
Which is better, nepa-mcp or data360-mcp?
The best choice depends on your use case. Choose nepa-mcp if Assisting AI agents in NEPA screening and permitting research workflows., and data360-mcp if Integrating World Bank development indicators into AI assistants.
Is nepa-mcp free or open source?
Yes, nepa-mcp is open source on GitHub (BSD-3-Clause).
Is data360-mcp free or open source?
Yes, data360-mcp is open source on GitHub (NOASSERTION).
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