MongoDB
MongoDB MCP provides a bridge between AI assistants and MongoDB databases, enabling direct interaction with MongoDB collections through the Model Context Protocol. Built by Alex Andrushevich, this TypeScript implementation allows for querying, inserting, updating, and managing MongoDB data without leaving the conversation interface. The server can be configured with a MongoDB connection URL and deployed either via Docker or as a Node.js application, making it flexible for different integration needs. This implementation is particularly valuable for workflows requiring database operations, data analysis, or content management directly within AI assistant conversations.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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/rock913/mongo-mcp
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
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.