官方说明10 个来源MCP 服务8 天前
JamesANZ/cross-llm-mcp
📇 🏠 - Cross-LLM communication and memory sharing so different AI models can collaborate and share context…
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官方说明📇 🏠 - Cross-LLM communication and memory sharing so different AI models can collaborate and share context across conversations.
配置模板（请按你的客户端调整）
claude mcp add cross-llm-mcp -- npx -y cross-llm-mcp
这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。
- ★ 数取值
- 16 ★ · JamesANZ/cross-llm-mcp · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
- 来源明细
- 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
- 收录与活跃
- 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
- 评分构成
- 综合分 1,003 · 16 ★ · 10 个来源 · mcp
常见问题（答案都来自我们的记录）
怎么安装？
我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。
它适合谁 / 用来做什么？
我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
JamesANZ/cross-llm-mcp；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。第三方质量标记
🤖 Cross-LLM MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> **Access multiple LLM APIs from one place.** Call ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral, and Hugging Face Inference Router with intelligent model selection, preferences, and prompt logging.
An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop.
Why Use Cross-LLM MCP?
- 🌐 **9 LLM Providers** – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral, Hugging Face
- 🎯 **Smart Model Selection** – Tag-based preferences (coding, business, reasoning, math, creative, general)
- 📊 **Prompt Logging** – Track all prompts with history, statistics, and analytics
- 💰 **Cost Optimization** – Choose flagship or cheaper models based on preference
- ⚡ **Easy Setup** – One-click install in Cursor or simple manual setup
- 🔄 **Call All LLMs** – Get responses from all providers simultaneously
Quick Start
Ready to access multiple LLMs? Install in seconds:
**Install in Cursor (Recommended):**
🔗 Install in Cursor
**Or install manually:**
Features
🤖 Individual LLM Tools
- **call-chatgpt** – OpenAI's ChatGPT API
- **call-claude** – Anthropic's Claude API
- **call-deepseek** – DeepSeek API
- **call-gemini** – Google's Gemini API
- **call-grok** – xAI's Grok API
- **call-kimi** – Moonshot AI's Kimi API
- **call-perplexity** – Perplexity AI API
- **call-mistral** – Mistral AI API
- **call-huggingface** – Hugging Face Inference Router (OpenAI-compatible Hub models)
🔄 Combined Tools
- **call-all-llms** – Call all LLMs with the same prompt
- **call-llm** – Call a specific provider by name
⚙️ Preferences & Model Selection
- **get-user-preferences** – Get current preferences
- **set-user-preferences** – Set default model, cost preference, and tag-based preferences
- **get-models-by-tag** – Find models by tag (coding, business, reasoning, math, creative, general)
📝 Prompt Logging
- **get-prompt-history** – View prompt history with filters
- **get-prompt-stats** – Get statistics about prompt logs
- **delete-prompt-entries** – Delete log entries by criteria
- **clear-prompt-history** – Clear all prompt logs
Installation
Cursor (One-Click)
Click the install link above or use:
After installation, add your API keys in Cursor settings (see Configuration below).
Manual Installation
**Requirements:** Node.js 18+ and npm
Claude Desktop
Add to claude_desktop_config.json:
**macOS**: ~/Library/Application Support/Claude/claude_desktop_config.json
**Windows**: %APPDATA%\Claude\claude_desktop_config.json
Restart Claude Desktop after configuration.
Configuration
API Keys
Set environment variables for the LLM providers you want to use:
Getting API Keys
- **OpenAI**: https://platform.openai.com/api-keys
- **Anthropic**: https://console.anthropic.com/
- **DeepSeek**: https://platform.deepseek.com/
- **Google Gemini**: https://makersuite.google.com/app/apikey
- **xAI Grok**: https://console.x.ai/
- **Moonshot AI**: https://platform.moonshot.ai/
- **Perplexity**: https://www.perplexity.ai/hub
- **Mistral**: https://console.mistral.ai/
- **Hugging Face**: Create a fine-grained token with **Inference** (serverless / Inference Providers) access at https://huggingface.co/settings/tokens. See Chat Completion for supported models.
An MCP (Model Context Protocol) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop.
Why Use Cross-LLM MCP?
- 🌐 **9 LLM Providers** – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral, Hugging Face
- 🎯 **Smart Model Selection** – Tag-based preferences (coding, business, reasoning, math, creative, general)
- 📊 **Prompt Logging** – Track all prompts with history, statistics, and analytics
- 💰 **Cost Optimization** – Choose flagship or cheaper models based on preference
- ⚡ **Easy Setup** – One-click install in Cursor or simple manual setup
- 🔄 **Call All LLMs** – Get responses from all providers simultaneously
Quick Start
Ready to access multiple LLMs? Install in seconds:
**Install in Cursor (Recommended):**
🔗 Install in Cursor
**Or install manually:**
Features
🤖 Individual LLM Tools
- **call-chatgpt** – OpenAI's ChatGPT API
- **call-claude** – Anthropic's Claude API
- **call-deepseek** – DeepSeek API
- **call-gemini** – Google's Gemini API
- **call-grok** – xAI's Grok API
- **call-kimi** – Moonshot AI's Kimi API
- **call-perplexity** – Perplexity AI API
- **call-mistral** – Mistral AI API
- **call-huggingface** – Hugging Face Inference Router (OpenAI-compatible Hub models)
🔄 Combined Tools
- **call-all-llms** – Call all LLMs with the same prompt
- **call-llm** – Call a specific provider by name
⚙️ Preferences & Model Selection
- **get-user-preferences** – Get current preferences
- **set-user-preferences** – Set default model, cost preference, and tag-based preferences
- **get-models-by-tag** – Find models by tag (coding, business, reasoning, math, creative, general)
📝 Prompt Logging
- **get-prompt-history** – View prompt history with filters
- **get-prompt-stats** – Get statistics about prompt logs
- **delete-prompt-entries** – Delete log entries by criteria
- **clear-prompt-history** – Clear all prompt logs
Installation
Cursor (One-Click)
Click the install link above or use:
After installation, add your API keys in Cursor settings (see Configuration below).
Manual Installation
**Requirements:** Node.js 18+ and npm
Claude Desktop
Add to claude_desktop_config.json:
**macOS**: ~/Library/Application Support/Claude/claude_desktop_config.json
**Windows**: %APPDATA%\Claude\claude_desktop_config.json
Restart Claude Desktop after configuration.
Configuration
API Keys
Set environment variables for the LLM providers you want to use:
Getting API Keys
- **OpenAI**: https://platform.openai.com/api-keys
- **Anthropic**: https://console.anthropic.com/
- **DeepSeek**: https://platform.deepseek.com/
- **Google Gemini**: https://makersuite.google.com/app/apikey
- **xAI Grok**: https://console.x.ai/
- **Moonshot AI**: https://platform.moonshot.ai/
- **Perplexity**: https://www.perplexity.ai/hub
- **Mistral**: https://console.mistral.ai/
- **Hugging Face**: Create a fine-grained token with **Inference** (serverless / Inference Providers) access at https://huggingface.co/settings/tokens. See Chat Completion for supported models.
- 来源
- awesome · https://github.com/JamesANZ/cross-llm-mcp
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