Other MCP Server · MODEL CONTEXT PROTOCOL
sjquant llm bridge mcp
A model-agnostic Message Control Protocol (MCP) server that enables seamless integration with various Large Language Models (LLMs) like GPT, DeepSeek, Claude, and more.
WHAT IT CONNECTS
What sjquant llm bridge mcp gives an AI Agent
- Unified interface to multiple LLM providers:
- OpenAI (GPT models)
- Anthropic (Claude models)
- Google (Gemini models)
- DeepSeek
- ...
- Built with Pydantic AI for type safety and validation
- Supports customizable parameters like temperature and max tokens
- Provides usage tracking and metrics
- `prompt`: The text prompt to send to the LLM
- `model_name`: Specific model to use (default: "openai:gpt-4o-mini")
- `temperature`: Controls randomness (0.0 to 1.0)
- `max_tokens`: Maximum number of tokens to generate
- `system_prompt`: Optional system prompt to guide the model's behavior
- Clone the repository:
- Install [uv](https://github.com/astral-sh/uv) (if not already installed):
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.