cross-llm-mcp and mindbridge-mcp

cross-llm-mcp
50
Established
mindbridge-mcp
42
Emerging
Maintenance 6/25
Adoption 5/25
Maturity 24/25
Community 15/25
Maintenance 2/25
Adoption 7/25
Maturity 16/25
Community 17/25
Stars: 13
Forks: 5
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 28
Forks: 8
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
Stale 6m No Package No Dependents

About cross-llm-mcp

JamesANZ/cross-llm-mcp

A Model Context Protocol (MCP) server that provides access to multiple Large Language Model (LLM) APIs including ChatGPT, Claude, Gemini, Mistral, Kimi K2, and DeepSeek.

This tool helps developers and AI practitioners streamline their work with Large Language Models (LLMs). It takes your prompts and preferences and routes them to various LLM providers like ChatGPT, Claude, and Gemini, then returns their responses. The primary users are developers working in AI coding environments who need to access and manage multiple LLM APIs efficiently.

AI Development LLM Management Developer Tools API Integration AI Workflow

About mindbridge-mcp

pinkpixel-dev/mindbridge-mcp

MindBridge is an AI orchestration MCP server that lets any app talk to any LLM — OpenAI, Anthropic, DeepSeek, Ollama, and more — through a single unified API. Route queries, compare models, get second opinions, and build smarter multi-LLM workflows.

This tool helps developers and AI engineers manage different large language models (LLMs) from various providers like OpenAI, Anthropic, or even local models, through a single interface. You input your application's queries and API keys, and it routes them to the best-suited LLM, returning the model's response. It's designed for anyone building applications powered by multiple AI models.

AI-application-development LLM-orchestration multi-model-management agent-building AI-backend-engineering

Scores updated daily from GitHub, PyPI, and npm data. How scores work