MCP Servers

mcp-project-search

A project search MCP server based on Milvus vector database, supporting semantic search, hybrid search, and exact scalar queries.

README

mcp-project-search

项目搜索 MCP Server，基于 Milvus 向量数据库，支持语义搜索、混合搜索和标量精确查询。

功能

工具	说明
`search_project`	语义搜索，根据自然语言描述搜索项目
`hybrid_search_project`	混合搜索（向量语义 + BM25 关键词），对口语化短关键词效果更好
`query_project_by_name`	按项目名称精确查询
`query_projects_by_filter`	按标量字段（省份/城市/状态等）过滤查询

环境变量

变量	默认值	说明
`MILVUS_URI`	`http://10.15.208.159:19530`	Milvus 连接地址
`OLLAMA_EMBEDDING_URL`	`http://10.15.208.159:11434/api/embed`	Ollama Embedding API 地址

安装

# 从 GitHub 安装
pip install git+https://github.com/sirius-tangzhiming/mcp_-repository.git

# 或用 uvx 直接运行
uvx --from git+https://github.com/sirius-tangzhiming/mcp_-repository.git mcp-project-search

MCP 客户端配置

{
  "mcpServers": {
    "project-search": {
      "command": "uvx",
      "args": [
        "--from", "git+https://github.com/sirius-tangzhiming/mcp_-repository.git",
        "mcp-project-search"
      ],
      "env": {
        "MILVUS_URI": "http://your-milvus:19530",
        "OLLAMA_EMBEDDING_URL": "http://your-ollama:11434/api/embed"
      }
    }
  }
}

依赖

Python >= 3.11
Milvus >= 3.0（需要 BM25 全文检索支持）
Ollama + bge-m3 模型（用于生成 Embedding）

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

E2B

Using MCP to run code via e2b.

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official

Featured