CockroachDB
This MCP server provides AI assistants with CockroachDB database management capabilities, built by Amine El Kouhen using Python with FastMCP and asyncpg for high-performance async database operations. The implementation offers four core tool categories: cluster monitoring for health checks and performance analysis, database operations for connection management and schema administration, table management for DDL operations and bulk data import from cloud storage, and a query engine supporting SQL execution with multiple output formats, transaction management, and query optimization analysis. Built with connection pooling, comprehensive error handling, and flexible deployment options via uvx, Docker, or direct installation, it serves data engineering workflows requiring natural language database interaction, DevOps teams managing CockroachDB clusters through conversational interfaces, and development environments where AI-driven database administration enhances productivity without direct SQL knowledge requirements.
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/amineelkouhen/mcp-cockroachdb
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve CockroachDB 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.