任何聊天完成 Mcp Mcp 服务器

概览

什么是 Any Chat Completions MCP？

Any Chat Completions MCP 是一个多功能服务器，旨在将任何大型语言模型（LLM）作为工具使用。这个创新平台允许开发者和用户将各种 LLM 集成到他们的应用程序中，从而增强聊天机器人和其他对话界面的功能。通过利用 LLM 的强大能力，用户可以创建更具吸引力和智能的互动，使其成为企业和开发者的宝贵资源。

Any Chat Completions MCP 的特点

多LLM支持：该服务器支持多个 LLM，允许用户选择最适合其特定需求的模型。
易于集成：通过简单的 API，开发者可以轻松将服务器集成到现有应用程序中。
可扩展性：架构设计能够处理大量请求，适合小型项目和大规模应用程序。
可定制：用户可以根据特定用例自定义 LLM 的行为，提升用户体验。
开源：作为一个开源项目，它鼓励社区贡献和透明性。

如何使用 Any Chat Completions MCP

安装：首先从 GitHub 克隆代码库并安装必要的依赖项。
配置：通过配置服务器设置来设置您的环境，以指定要使用的 LLM。
API 集成：使用提供的 API 端点向服务器发送请求并接收来自 LLM 的响应。
测试：在开发环境中测试集成，以确保一切按预期工作。
部署：测试完成后，将服务器部署到生产环境中，并开始在应用程序中利用 LLM。

常见问题解答

问：Any Chat Completions MCP 的主要用例是什么？

答：主要用例是通过集成各种 LLM 来增强聊天机器人和对话界面，从而实现更智能和吸引人的互动。

问：Any Chat Completions MCP 是免费使用的吗？

答：是的，它是一个开源项目，这意味着它是免费使用和修改的。

问：我可以为该项目做贡献吗？

答：当然可以！欢迎贡献。您可以在 GitHub 代码库上提交问题、功能请求或拉取请求。

问：支持哪些编程语言？

答：该服务器设计为语言无关，但可以使用流行的编程语言如 Python、JavaScript 和 Java 轻松访问 API。

问：我该如何报告问题或错误？

答：您可以通过在 GitHub 代码库上创建问题来报告问题或错误，并提供您遇到的问题的详细信息。

通过利用 Any Chat Completions MCP，开发者可以显著增强其应用程序的对话能力，使其成为人工智能和机器学习领域的强大工具。

详情

any-chat-completions-mcp MCP Server

Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more.

This implements the Model Context Protocol Server. Learn more: https://modelcontextprotocol.io

This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API.

It has one tool, chat which relays a question to a configured AI Chat Provider.

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To add OpenAI to Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

On Windows: %APPDATA%/Claude/claude_desktop_config.json

You can use it via npx in your Claude Desktop configuration like this:

{
  "mcpServers": {
    "chat-openai": {
      "command": "npx",
      "args": [
        "@pyroprompts/any-chat-completions-mcp"
      ],
      "env": {
        "AI_CHAT_KEY": "OPENAI_KEY",
        "AI_CHAT_NAME": "OpenAI",
        "AI_CHAT_MODEL": "gpt-4o",
        "AI_CHAT_BASE_URL": "https://api.openai.com/v1"
      }
    }
  }
}

Or, if you clone the repo, you can build and use in your Claude Desktop configuration like this:


{
  "mcpServers": {
    "chat-openai": {
      "command": "node",
      "args": [
        "/path/to/any-chat-completions-mcp/build/index.js"
      ],
      "env": {
        "AI_CHAT_KEY": "OPENAI_KEY",
        "AI_CHAT_NAME": "OpenAI",
        "AI_CHAT_MODEL": "gpt-4o",
        "AI_CHAT_BASE_URL": "https://api.openai.com/v1"
      }
    }
  }
}

You can add multiple providers by referencing the same MCP server multiple times, but with different env arguments:


{
  "mcpServers": {
    "chat-pyroprompts": {
      "command": "node",
      "args": [
        "/path/to/any-chat-completions-mcp/build/index.js"
      ],
      "env": {
        "AI_CHAT_KEY": "PYROPROMPTS_KEY",
        "AI_CHAT_NAME": "PyroPrompts",
        "AI_CHAT_MODEL": "ash",
        "AI_CHAT_BASE_URL": "https://api.pyroprompts.com/openaiv1"
      }
    },
    "chat-perplexity": {
      "command": "node",
      "args": [
        "/path/to/any-chat-completions-mcp/build/index.js"
      ],
      "env": {
        "AI_CHAT_KEY": "PERPLEXITY_KEY",
        "AI_CHAT_NAME": "Perplexity",
        "AI_CHAT_MODEL": "sonar",
        "AI_CHAT_BASE_URL": "https://api.perplexity.ai"
      }
    },
    "chat-openai": {
      "command": "node",
      "args": [
        "/path/to/any-chat-completions-mcp/build/index.js"
      ],
      "env": {
        "AI_CHAT_KEY": "OPENAI_KEY",
        "AI_CHAT_NAME": "OpenAI",
        "AI_CHAT_MODEL": "gpt-4o",
        "AI_CHAT_BASE_URL": "https://api.openai.com/v1"
      }
    }
  }
}

With these three, you'll see a tool for each in the Claude Desktop Home:

Claude Desktop Home with Chat Tools

And then you can chat with other LLMs and it shows in chat like this:

Claude Chat with OpenAI

Or, configure in LibreChat like:

  chat-perplexity:
    type: stdio
    command: npx
    args:
      - -y
      - @pyroprompts/any-chat-completions-mcp
    env:
      AI_CHAT_KEY: "pplx-012345679"
      AI_CHAT_NAME: Perplexity
      AI_CHAT_MODEL: sonar
      AI_CHAT_BASE_URL: "https://api.perplexity.ai"
      PATH: '/usr/local/bin:/usr/bin:/bin'

And it shows in LibreChat:

LibreChat with Perplexity Chat

Installing via Smithery

To install Any OpenAI Compatible API Integrations for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install any-chat-completions-mcp-server --client claude

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

Acknowledgements

Obviously the modelcontextprotocol and Anthropic team for the MCP Specification and integration into Claude Desktop. https://modelcontextprotocol.io/introduction
PyroPrompts for sponsoring this project. Use code CLAUDEANYCHAT for 20 free automation credits on Pyroprompts.

{ "mcpServers": { "any-chat-completions-mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "ghcr.io/metorial/mcp-container--pyroprompts--any-chat-completions-mcp--any-chat-completions-mcp", "npm run start" ], "env": { "AI_CHAT_KEY": "ai-chat-key", "AI_CHAT_NAME": "ai-chat-name", "AI_CHAT_MODEL": "ai-chat-model", "AI_CHAT_BASE_URL": "ai-chat-base-url" } } } }