What is the mcp-server MCP server?

mapbox/mcp-server — Mapbox Model Context Protocol (MCP) server AgentRank score: 70.7/100.

Is the mcp-server MCP server actively maintained?

The mcp-server MCP server was last committed 15d ago and has 12 contributors. Issue health: 59% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

mcp-server MCP Server

Name: mapbox/mcp-server
Rating: 3.8 (1 reviews)
Author: mapbox

mapbox/mcp-server

Score: 70.7 ↓ 1.4% Rank #3917 MCP Server

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Mapbox Model Context Protocol (MCP) server

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Overview

mapbox/mcp-server is a TypeScript MCP server licensed under MIT. Mapbox Model Context Protocol (MCP) server

Ranked #3917 out of 24846 indexed tools.

Has 12 contributors.

Ecosystem

TypeScript MIT 8,052 npm/wk

Score Breakdown

Stars 15% 361

361 stars → growing community

Freshness 25% 15d ago

Last commit 15d ago → recently updated

Issue Health 25% 59%

19/32 issues closed → decent issue management

Contributors 10% 12

12 contributors → active community

Dependents 25% 3

3 dependents → few downstream users

npm Downloads 13% 8,052/wk

8,052 weekly installs → widely installed

PyPI Downloads N/A

Forks 44

Description Brief

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

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Details

Stars: 361
Forks: 44
Open Issues: 13
Closed Issues: 19
Contributors: 12
Dependents: 3
Language: TypeScript
License: MIT
Last Commit: 15d ago

Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# Mapbox MCP Server

Node.js server implementing Model Context Protocol (MCP) for Mapbox APIs.

## Unlock Geospatial Intelligence for Your AI Applications

The Mapbox MCP Server transforms any AI agent or application into a geospatially-aware system by providing seamless access to Mapbox's comprehensive location intelligence platform. With this server, your AI can understand and reason about places, navigate the physical world, and access rich geospatial data including:

- **Global geocoding** to convert addresses and place names to coordinates and vice versa
- **Points of interest (POI) search** across millions of businesses, landmarks, and places worldwide
- **Multi-modal routing** for driving, walking, and cycling with real-time traffic
- **Travel time matrices** to analyze accessibility and optimize logistics
- **Route optimization** to find the optimal visiting order for multiple stops (traveling salesman problem)
- **Map matching** to snap GPS traces to the road network for clean

Read full README on GitHub →