mcp-mongo-server MCP Server
kiliczsh/mcp-mongo-server
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A Model Context Protocol Server for MongoDB
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kiliczsh/mcp-mongo-server is a TypeScript MCP server licensed under MIT. A Model Context Protocol Server for MongoDB Topics: claude, claude-desktop, mcp, model-context-protocol, mongo, mongodb, antrophic, cline, cursor, windsurf.
Ranked #7879 out of 24846 indexed tools.
Ecosystem
TypeScript MIT 7 weekly downloads 8 tool calls
claudeclaude-desktopmcpmodel-context-protocolmongomongodbantrophicclinecursorwindsurf
Score Breakdown
Stars 15% 282
282 stars → growing community
Freshness 25% 3mo ago
Last commit 3mo ago → stale
Issue Health 25% 95%
19/20 issues closed → responsive maintainer
Contributors 10% 7
7 contributors → small team
Dependents 25% 3
3 dependents → few downstream users
npm Downloads N/A
PyPI Downloads N/A
Forks 56
Description Brief
License MIT
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Description low impact
Freshness high impact
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From the README
# MCP MongoDB Server --- A Model Context Protocol (MCP) server that lets AI assistants work with your MongoDB databases. It exposes your collections, infers their schemas, and runs queries, aggregations, and writes through a standard interface — so tools like Claude Desktop and Cursor can read and reason about your data. ## Demo ## Why use it - **Talk to your database in plain language** — the assistant discovers your collections and their shape automatically. - **Safe by default** — turn on read-only mode to let an assistant explore without any risk of changing data. - **Works everywhere** — connects to standalone, replica set, sharded, and Atlas deployments, over plain or TLS connections. ## Key Features - **Read-Only Mode** — blocks every write path (insert, update, index creation, and aggregation stages like `$out`/`$merge` that could modify data). - **Smart ObjectId Handling** — configurable `auto`/`none`/`force` conversion of 24-character hex strings to ObjectIds. - **SchemRead full README on GitHub →
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