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pinecone-io

Pinecone Assistant MCP

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by pinecone-io
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Pinecone 助手 MCP 服务器

用于从 Pinecone Assistant 检索信息的 MCP 服务器实现。

特征

  • 从 Pinecone Assistant 检索信息

  • 支持检索多个结果，结果数量可配置

Related MCP server: Promptopia MCP

先决条件

  • 您的系统上安装了 Docker

  • Pinecone API 密钥 - 从Pinecone 控制台获取

  • Pinecone Assistant API 主机 - 创建助手后（例如在 Pinecone Console 中），您可以在助手详细信息页面中找到该主机

使用 Docker 进行构建

要构建 Docker 镜像：

docker build -t pinecone/assistant-mcp .

使用 Docker 运行

使用您的 Pinecone API 密钥运行服务器：

docker run -i --rm \
  -e PINECONE_API_KEY=<YOUR_PINECONE_API_KEY_HERE> \
  -e PINECONE_ASSISTANT_HOST=<YOUR_PINECONE_ASSISTANT_HOST_HERE> \
  pinecone/assistant-mcp

环境变量

  • PINECONE_API_KEY （必需）：您的 Pinecone API 密钥

  • PINECONE_ASSISTANT_HOST （可选）：Pinecone Assistant API 主机（默认：https: //prod-1-data.ke.pinecone.io ）

  • LOG_LEVEL （可选）：日志级别（默认值：info）

与 Claude Desktop 一起使用

将其添加到您的claude_desktop_config.json中：

{
  "mcpServers": {
    "pinecone-assistant": {
      "command": "docker",
      "args": [
        "run", 
        "-i", 
        "--rm", 
        "-e", 
        "PINECONE_API_KEY", 
        "-e", 
        "PINECONE_ASSISTANT_HOST", 
        "pinecone/assistant-mcp"
      ],
      "env": {
        "PINECONE_API_KEY": "<YOUR_PINECONE_API_KEY_HERE>",
        "PINECONE_ASSISTANT_HOST": "<YOUR_PINECONE_ASSISTANT_HOST_HERE>"
      }
    }
  }
}

从源代码构建

如果您更喜欢从源代码构建而不使用 Docker：

  1. 确保已安装 Rust（ https://rustup.rs/ ）

  2. 克隆此存储库

  3. 运行cargo build --release

  4. 二进制文件将在target/release/assistant-mcp中可用

与检查员一起测试

export PINECONE_API_KEY=<YOUR_PINECONE_API_KEY_HERE>
export PINECONE_ASSISTANT_HOST=<YOUR_PINECONE_ASSISTANT_HOST_HERE>
# Run the inspector alone
npx @modelcontextprotocol/inspector cargo run
# Or run with Docker directly through the inspector
npx @modelcontextprotocol/inspector -- docker run -i --rm -e PINECONE_API_KEY -e PINECONE_ASSISTANT_HOST pinecone/assistant-mcp

执照

该项目根据 LICENSE 文件中指定的条款进行许可。

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