Which LLM providers are supported?
OpenAI (GPT models), Anthropic (Claude models), Google (Gemini models), and DeepSeek.
LLM Bridge MCP Server
@sjquant
基本信息
关于 LLM Bridge MCP Server
A model-agnostic Message Control Protocol (MCP) server that enables seamless integration with various Large Language Models (LLMs) like GPT, DeepSeek, Claude, and more.
LLM Bridge MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"llm-bridge-mcp": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@sjquant/llm-bridge-mcp",
"--client",
"claude"
]
}
}
}LLM Bridge MCP Server 工具
5The text prompt to send to the LLM
Specific model to use (default: "openai:gpt-4o-mini")
Controls randomness (0.0 to 1.0)
Maximum number of tokens to generate
Optional system prompt to guide the model's behavior
概览
What is LLM Bridge MCP?
LLM Bridge MCP allows AI agents to interact with multiple large language models through a standardized interface. It leverages the Message Control Protocol (MCP) to provide seamless access to different LLM providers, making it easy to switch between models or use multiple models in the same application.
How to use LLM Bridge MCP?
Configure API keys in a .env file (or pass them as environment variables) and then add a server entry to your Claude Desktop or Cursor configuration. The server exposes a single tool, run_llm, which accepts a prompt, optional model name (default openai:gpt-4o-mini), temperature, max tokens, and system prompt.
Key features of LLM Bridge MCP
- Unified interface to OpenAI, Anthropic, Google, and DeepSeek models.
- Built with Pydantic AI for type safety and validation.
- Supports customizable temperature and max tokens parameters.
- Provides usage tracking and metrics.
- Simple single-tool API:
run_llm.
Use cases of LLM Bridge MCP
- Let an AI agent query multiple LLM providers from one integration.
- Switch models in a running application without reconfiguration.
- Compare outputs from GPT, Claude, Gemini, and DeepSeek in the same workflow.
- Build a multi-model assistant that can choose the best model per task.
常见问题
How do I install LLM Bridge MCP?
You can install it automatically via Smithery (`npx -y @smithery/cli install @sjquant/llm-bridge-mcp --client claude`) or manually by cloning the repository and following the manual installation steps.
How do I configure API keys?
Create a `.env` file in the root directory with keys like `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GOOGLE_API_KEY`, and `DEEPSEEK_API_KEY`. Alternatively, pass them as environment variables in the MCP server configuration.
How do I use LLM Bridge MCP with Claude Desktop or Cursor?
Add a server entry to your Claude Desktop configuration or `.cursor/mcp.json` file, specifying the command `uvx` and the package name `llm-bridge-mcp`, along with the required API keys.
What does the "spawn uvx ENOENT" error mean?
It means the system cannot find the `uvx` executable in your PATH. Find the full path to `uvx` using `which uvx` (macOS/Linux) or `where.exe uvx` (Windows), then update your MCP server configuration to use that full path.
AI 与智能体 分类下的更多 MCP 服务器
BlazingCDN MCP - Content Delivery for Video, Software & Static Files
BlazingCDNOfficial MCP server for BlazingCDN - AI agents (Claude, Cursor, Windsurf) manage CDN resources, purge cache, query metrics, domains, Anycast CDN, Video CDN and Media CDN
1
Plainpaper
PlainpaperThe AI marketing canvas for Claude and MCP agents. Your agent drafts campaigns as cards on a shared board, briefed by your brand rules, approved by you.
Lumify Sports Intelligence
LumifyAgent-ready sports intelligence API: live scores, odds, line movement, public betting splits, and explainable bet confidence — via 16 MCP tools at https://lumify.ai/mcp. Get a free key instantly — no signup, email, or ca
imageat
incendiesOfficial MCP server for imageat — AI image and video generation for AI assistants. Generate images and videos, and use 20+ editing tools (background remove/replace, inpainting, object eraser, relight, virtual try-on) dir
q-ring
I4cTimeQuantum-inspired keyring for AI coding agents. Secure secrets with superposition, entanglement, tunneling, and teleportation — CLI + 44 MCP tools.
3
评论