# Mochow Vector Database

> Use this tool when you need to manage and search vector databases, perform similarity searches, or execute hybrid queries combining vector and scalar attributes. It solves problems related to vector data management, similarity search, and hybrid searches, providing a Python interface for creating databases, rebuilding indexes, and executing parameterized queries. The Mochow Vector Database takes in API keys, database operations, and query parameters as inputs and returns search results, database management outputs, and query execution results.

Canonical page: https://skillsregistry.net/skills/baidu-mochow-vector-database  
JSON: https://api.skillsregistry.net/v1/skills/baidu-mochow-vector-database

## Description

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.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/baidu-mochow-vector-database)
- **Repository:** <https://github.com/baidu/mochow-mcp-server-python>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "baidu-mochow-vector-database"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/baidu-mochow-vector-database` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/baidu-mochow-vector-database/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt