Mochow Vector Database
The Mochow MCP server provides AI assistants with direct access to Mochow vector database capabilities through a Python implementation. Developed by Baidu, this server exposes tools for managing databases, tables, and vector indexes, as well as performing vector similarity and full-text searches. It integrates with the pymochow client library to communicate with Mochow instances, handling authentication via API keys and supporting operations like creating databases, rebuilding indexes, and executing parameterized queries with filters. The server is particularly valuable for users who need to interact with vector data for similarity search, manage vector embeddings, or perform hybrid searches combining vector similarity with scalar attribute filtering without leaving their conversation context.
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/baidu/mochow-mcp-server-python
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Mochow Vector Database 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.