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Typesense MCP Server

@avarant

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

avarant

关于 Typesense MCP Server

MCP server for Typesense

#python#mcp#mcp-server

Typesense MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "typesense-mcp-server": {
      "command": "uv",
      "args": [
        "run",
        "python",
        "main.py"
      ],
      "env": {
        "TYPESENSE_API_KEY": "xyz"
      }
    }
  }
}

Typesense MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Typesense MCP Server?

A Model Context Protocol (MCP) server that provides a standardized interface to interact with Typesense, a fast open-source search engine. It is designed for developers using MCP-compatible clients (like Claude Desktop, Cursor, Zed, VS Code) to perform search operations, manage collections, and handle documents in Typesense through natural language commands.

How to use Typesense MCP Server?

Install uv, clone the repository to ~/typesense-mcp-server, then add the server to your MCP client’s configuration file (e.g., ~/.cursor/mcp.json or Claude Desktop config). Set the required environment variables (TYPESENSE_HOST, TYPESENSE_PORT, TYPESENSE_PROTOCOL, TYPESENSE_API_KEY). Run the server with the default STDIO transport or switch to HTTP transports for web clients.

Key features of Typesense MCP Server

  • Checks Typesense server health and lists all collections
  • Creates, describes, exports, deletes, and truncates collections
  • Creates, upserts, deletes, and batch-indexes documents
  • Imports documents from CSV data into a collection
  • Performs keyword search and vector similarity search on collections
  • Supports STDIO, legacy SSE, and Streamable HTTP transports

Use cases of Typesense MCP Server

  • Build an AI assistant that can search a Typesense-powered product catalog
  • Manage collection schemas and bulk-import documents from a conversational interface
  • Enable semantic vector search queries on text or embeddings stored in Typesense
  • Automate index maintenance tasks (e.g., truncate, export, delete) via MCP clients

常见问题

1

How do I install the Typesense MCP Server?

Install `uv` (e.g., via Homebrew on macOS), clone the GitHub repository, then configure your MCP client to launch the server with `uv run main.py` and the required environment variables.

2

What environment variables are required?

You must set `TYPESENSE_HOST`, `TYPESENSE_PORT`, `TYPESENSE_PROTOCOL`, and `TYPESENSE_API_KEY`. Optional variables include `MCP_TRANSPORT`, `MCP_HOST`, `MCP_PORT`, `MCP_STATELESS_HTTP`, and `MCP_CORS_ORIGINS`.

3

What MCP transports does this server support?

It supports STDIO (default), legacy SSE, and the newer Streamable HTTP transport. STDIO works with desktop clients; Streamable HTTP is recommended for web-based clients.

4

Can I use this server with a web client?

Yes. Use the Streamable HTTP transport (set `MCP_TRANSPORT=streamable-http`) and enable CORS with `MCP_CORS_ORIGINS`. Stateless mode (`MCP_STATELESS_HTTP=true`) is required for clients that don’t maintain persistent MCP sessions.

5

Does this server require a running Typesense instance?

Yes. The server communicates with an existing Typesense server. You must provide its host, port, protocol, and API key via environment variables.

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