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mcp-pinecone

by sirmews
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Python
Remote

用于 Claude Desktop 的 Pinecone 模型上下文协议服务器。

铁匠徽章

PyPI - 下载

读取和写入 Pinecone 索引。

成分

flowchart TB
    subgraph Client["MCP Client (e.g., Claude Desktop)"]
        UI[User Interface]
    end

    subgraph MCPServer["MCP Server (pinecone-mcp)"]
        Server[Server Class]
        
        subgraph Handlers["Request Handlers"]
            ListRes[list_resources]
            ReadRes[read_resource]
            ListTools[list_tools]
            CallTool[call_tool]
            GetPrompt[get_prompt]
            ListPrompts[list_prompts]
        end
        
        subgraph Tools["Implemented Tools"]
            SemSearch[semantic-search]
            ReadDoc[read-document]
            ListDocs[list-documents]
            PineconeStats[pinecone-stats]
            ProcessDoc[process-document]
        end
    end

    subgraph PineconeService["Pinecone Service"]
        PC[Pinecone Client]
        subgraph PineconeFunctions["Pinecone Operations"]
            Search[search_records]
            Upsert[upsert_records]
            Fetch[fetch_records]
            List[list_records]
            Embed[generate_embeddings]
        end
        Index[(Pinecone Index)]
    end

    %% Connections
    UI --> Server
    Server --> Handlers
    
    ListTools --> Tools
    CallTool --> Tools
    
    Tools --> PC
    PC --> PineconeFunctions
    PineconeFunctions --> Index
    
    %% Data flow for semantic search
    SemSearch --> Search
    Search --> Embed
    Embed --> Index
    
    %% Data flow for document operations
    UpsertDoc --> Upsert
    ReadDoc --> Fetch
    ListRes --> List

    classDef primary fill:#2563eb,stroke:#1d4ed8,color:white
    classDef secondary fill:#4b5563,stroke:#374151,color:white
    classDef storage fill:#059669,stroke:#047857,color:white
    
    class Server,PC primary
    class Tools,Handlers secondary
    class Index storage

资源

服务器实现了读取和写入 Pinecone 索引的能力。

工具

  • semantic-search ：在 Pinecone 索引中搜索记录。

  • read-document ：从 Pinecone 索引中读取文档。

  • list-documents ：列出 Pinecone 索引中的所有文档。

  • pinecone-stats ：获取有关 Pinecone 索引的统计信息，包括记录数、维度和命名空间。

  • process-document ：将文档处理成块，并将其更新插入到 Pinecone 索引中。这将执行分块、嵌入和更新插入的整个步骤。

注：嵌入是通过 Pinecone 的推理 API 生成的，分块是通过基于 token 的分块器完成的。本文从 langchain 复制了大量内容，并使用 Claude 进行调试。

Related MCP server: Pinecone MCP Server

快速入门

通过 Smithery 安装

要通过Smithery自动为 Claude Desktop 安装 Pinecone MCP 服务器：

npx -y @smithery/cli install mcp-pinecone --client claude

安装服务器

建议使用uv为 Claude 本地安装服务器。

uvx install mcp-pinecone

或者

uv pip install mcp-pinecone

按照如下所述添加您的配置。

克劳德桌面

在 MacOS 上： ~/Library/Application\ Support/Claude/claude_desktop_config.json在 Windows 上： %APPDATA%/Claude/claude_desktop_config.json

注意：您可能需要使用uv的直接路径。使用which uv来查找路径。

开发/未发布的服务器配置

"mcpServers": {
  "mcp-pinecone": {
    "command": "uv",
    "args": [
      "--directory",
      "{project_dir}",
      "run",
      "mcp-pinecone"
    ]
  }
}

已发布的服务器配置

"mcpServers": {
  "mcp-pinecone": {
    "command": "uvx",
    "args": [
      "--index-name",
      "{your-index-name}",
      "--api-key",
      "{your-secret-api-key}",
      "mcp-pinecone"
    ]
  }
}

注册 Pinecone

您可以在此处注册一个 Pinecone 帐户。

获取 API 密钥

在 Pinecone 中创建一个新索引，替换{your-index-name} ，并从 Pinecone 仪表板获取 API 密钥，替换配置中的{your-secret-api-key} 。

发展

构建和发布

准备分发包：

  1. 同步依赖项并更新锁文件：

uv sync

  1. 构建软件包分发版：

uv build

这将在dist/目录中创建源和轮子分布。

  1. 发布到 PyPI：

uv publish

注意：您需要通过环境变量或命令标志设置 PyPI 凭据：

  • 令牌： --token或UV_PUBLISH_TOKEN

  • 或用户名/密码： --username / UV_PUBLISH_USERNAME和--password / UV_PUBLISH_PASSWORD

调试

由于 MCP 服务器通过 stdio 运行，调试起来可能比较困难。为了获得最佳调试体验，我们强烈建议使用MCP Inspector 。

您可以使用以下命令通过npm启动 MCP Inspector：

npx @modelcontextprotocol/inspector uv --directory {project_dir} run mcp-pinecone

启动后，检查器将显示一个 URL，您可以在浏览器中访问该 URL 以开始调试。

执照

本项目遵循 MIT 许可证。详情请参阅LICENSE文件。

源代码

源代码可在GitHub上找到。

贡献

通过Bluesky或打开问题向我发送您的想法和反馈。

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