Cross-LLM MCP Server

# 🤖 Cross-LLM MCP Server > **Access multiple LLM APIs from one place.** Call ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, and Mistral with intelligent model selection, preferences, and prompt logging. An [MCP (Model Context Protocol)](https://modelcontextprotocol.io) server that provides unified access to multiple Large Language Model APIs for AI coding environments like Cursor and Claude Desktop. [](https://archestra.ai/mcp-catalog/jamesanz__cross-llm-mcp) ## Why Use Cross-LLM MCP? - 🌐 **8 LLM Providers** – ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, Mistral - 🎯 **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](cursor://anysphere.cursor-deeplink/mcp/install?name=cross-llm-mcp&config=eyJjcm9zcy1sbG0tbWNwIjp7ImNvbW1hbmQiOiJucHgiLCJhcmdzIjpbIi15IiwiY3Jvc3MtbGxtLW1jcCJdfX0=) **Or install manually:** ```bash npm install -g cross-llm-mcp # Or from source: git clone https://github.com/JamesANZ/cross-llm-mcp.git cd cross-llm-mcp && npm install && npm run build ``` ## 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 ### 🔄 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: ``` cursor://anysphere.cursor-deeplink/mcp/install?name=cross-llm-mcp&config=eyJjcm9zcy1sbG0tbWNwIjp7ImNvbW1hbmQiOiJucHgiLCJhcmdzIjpbIi15IiwiY3Jvc3MtbGxtLW1jcCJdfX0= ``` After installation, add your API keys in Cursor settings (see Configuration below). ### Manual Installation **Requirements:** Node.js 18+ and npm ```bash # Clone and build git clone https://github.com/JamesANZ/cross-llm-mcp.git cd cross-llm-mcp npm install npm run build ``` ### Claude Desktop Add to `claude_desktop_config.json`: **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` ```json { "mcpServers": { "cross-llm-mcp": { "command": "node", "args": ["/absolute/path/to/cross-llm-mcp/build/index.js"], "env": { "OPENAI_API_KEY": "your_openai_api_key_here", "ANTHROPIC_API_KEY": "your_anthropic_api_key_here", "DEEPSEEK_API_KEY": "your_deepseek_api_key_here", "GEMINI_API_KEY": "your_gemini_api_key_here", "XAI_API_KEY": "your_grok_api_key_here", "KIMI_API_KEY": "your_kimi_api_key_here", "PERPLEXITY_API_KEY": "your_perplexity_api_key_here", "MISTRAL_API_KEY": "your_mistral_api_key_here" } } } } ``` Restart Claude Desktop after configuration. ## Configuration ### API Keys Set environment variables for the LLM providers you want to use: ```bash export OPENAI_API_KEY="your_openai_api_key" export ANTHROPIC_API_KEY="your_anthropic_api_key" export DEEPSEEK_API_KEY="your_deepseek_api_key" export GEMINI_API_KEY="your_gemini_api_key" export XAI_API_KEY="your_grok_api_key" export KIMI_API_KEY="your_kimi_api_key" export PERPLEXITY_API_KEY="your_perplexity_api_key" export MISTRAL_API_KEY="your_mistral_api_key" ``` ### Getting API Keys - **OpenAI**: [https://platform.openai.com/api-keys](https://platform.openai.com/api-keys) - **Anthropic**: [https://console.anthropic.com/](https://console.anthropic.com/) - **DeepSeek**: [https://platform.deepseek.com/](https://platform.deepseek.com/) - **Google Gemini**: [https://makersuite.google.com/app/apikey](https://makersuite.google.com/app/apikey) - **xAI Grok**: [https://console.x.ai/](https://console.x.ai/) - **Moonshot AI**: [https://platform.moonshot.ai/](https://platform.moonshot.ai/) - **Perplexity**: [https://www.perplexity.ai/hub](https://www.perplexity.ai/hub) - **Mistral**: [https://console.mistral.ai/](https://console.mistral.ai/) ## Usage Examples ### Call ChatGPT Get a response from OpenAI: ```json { "tool": "call-chatgpt", "arguments": { "prompt": "Explain quantum computing in simple terms", "temperature": 0.7, "max_tokens": 500 } } ``` ### Call All LLMs Get responses from all providers: ```json { "tool": "call-all-llms", "arguments": { "prompt": "Write a short poem about AI", "temperature": 0.8 } } ``` ### Set Tag-Based Preferences Automatically use the best model for each task type: ```json { "tool": "set-user-preferences", "arguments": { "defaultModel": "gpt-4o", "costPreference": "cheaper", "tagPreferences": { "coding": "deepseek-r1", "general": "gpt-4o", "business": "claude-3.5-sonnet-20241022", "reasoning": "deepseek-r1", "math": "deepseek-r1", "creative": "gpt-4o" } } } ``` ### Get Prompt History View your prompt logs: ```json { "tool": "get-prompt-history", "arguments": { "provider": "chatgpt", "limit": 10 } } ``` ## Model Tags Models are tagged by their strengths: - **coding**: `deepseek-r1`, `deepseek-coder`, `gpt-4o`, `claude-3.5-sonnet-20241022` - **business**: `claude-3-opus-20240229`, `gpt-4o`, `gemini-1.5-pro` - **reasoning**: `deepseek-r1`, `o1-preview`, `claude-3.5-sonnet-20241022` - **math**: `deepseek-r1`, `o1-preview`, `o1-mini` - **creative**: `gpt-4o`, `claude-3-opus-20240229`, `gemini-1.5-pro` - **general**: `gpt-4o-mini`, `claude-3-haiku-20240307`, `gemini-1.5-flash` ## Use Cases - **Multi-Perspective Analysis** – Get different perspectives from multiple LLMs - **Model Comparison** – Compare responses to understand strengths and weaknesses - **Cost Optimization** – Choose the most cost-effective model for each task - **Quality Assurance** – Cross-reference responses from multiple models - **Intelligent Selection** – Automatically use the best model for coding, business, reasoning, etc. - **Prompt Analytics** – Track usage, costs, and patterns with automatic logging ## Technical Details **Built with:** Node.js, TypeScript, MCP SDK **Dependencies:** `@modelcontextprotocol/sdk`, `superagent`, `zod` **Platforms:** macOS, Windows, Linux **Preference Storage:** - Unix/macOS: `~/.cross-llm-mcp/preferences.json` - Windows: `%APPDATA%/cross-llm-mcp/preferences.json` **Prompt Log Storage:** - Unix/macOS: `~/.cross-llm-mcp/prompts.json` - Windows: `%APPDATA%/cross-llm-mcp/prompts.json` ## Contributing ⭐ **If this project helps you, please star it on GitHub!** ⭐ Contributions welcome! Please open an issue or submit a pull request. ## License MIT License – see [LICENSE.md](LICENSE.md) for details. ## Support If you find this project useful, consider supporting it: **⚡ Lightning Network** ``` lnbc1pjhhsqepp5mjgwnvg0z53shm22hfe9us289lnaqkwv8rn2s0rtekg5vvj56xnqdqqcqzzsxqyz5vqsp5gu6vh9hyp94c7t3tkpqrp2r059t4vrw7ps78a4n0a2u52678c7yq9qyyssq7zcferywka50wcy75skjfrdrk930cuyx24rg55cwfuzxs49rc9c53mpz6zug5y2544pt8y9jflnq0ltlha26ed846jh0y7n4gm8jd3qqaautqa ``` **₿ Bitcoin**: [bc1ptzvr93pn959xq4et6sqzpfnkk2args22ewv5u2th4ps7hshfaqrshe0xtp](https://mempool.space/address/bc1ptzvr93pn959xq4et6sqzpfnkk2args22ewv5u2th4ps7hshfaqrshe0xtp) **Ξ Ethereum/EVM**: [0x42ea529282DDE0AA87B42d9E83316eb23FE62c3f](https://etherscan.io/address/0x42ea529282DDE0AA87B42d9E83316eb23FE62c3f)