MongoDB
This MongoDB MCP server, developed by QuantGeekDev, enables AI assistants to interact directly with MongoDB databases through natural language. Built with TypeScript, it provides tools for querying collections, inspecting schemas, managing indexes, and performing document operations. The server leverages MongoDB's flexible document model and powerful query capabilities, allowing AI models to explore and manipulate complex data structures. By bridging natural language processing with MongoDB's features, this implementation extends AI capabilities for tasks like data analysis, content management, and database administration. It is particularly useful for scenarios requiring dynamic data exploration, schema inference, and performing database operations in response to natural language queries.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/quantgeekdev/mongo-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve MongoDB from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.