mcp-project-search
Provides tools to search projects using semantic and hybrid search powered by Milvus vector database, along with exact match and filter queries.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-project-searchsearch for projects about renewable energy"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
| 语义搜索,根据自然语言描述搜索项目 |
| 混合搜索(向量语义 + BM25 关键词),对口语化短关键词效果更好 |
| 按项目名称精确查询 |
| 按标量字段(省份/城市/状态等)过滤查询 |
Related MCP server: Tea Rags MCP
环境变量
变量 | 默认值 | 说明 |
|
| Milvus 连接地址 |
|
| 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-searchMCP 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)
This server cannot be installed
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