Unified MCP server for managing local model runtimes (Ollama, LM Studio, etc.), enabling provider-agnostic discovery, lifecycle management, hardware-fit checks, and delegated inference.
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Creative Commons Attribution Non Commercial No Derivatives 4.0 International
Enables local RAG orchestration with MCP, providing context retrieval, in-memory text ingestion, explicit tool invocation, and transport-neutral tool discovery.
A local MCP bridge that registers multiple AI API endpoints, enabling agents to automatically discover and route to models based on capabilities like chat, vision, reasoning, embedding, image generation, TTS, STT, and rerank.
Enables agents to discover, evaluate, and serve task-specialist models (embeddings, reranking, classification, extraction) with OpenAI-compatible endpoints and MCP tools for routing, embedding, reranking, and extraction.
A local-first LLM routing MCP server that keeps sensitive data on your own models, with fail-closed privacy and manager-worker delegation, exposing route and complete tools to any MCP client.
Privacy-first local MCP hub for coordinating multiple AI providers from Claude Code, supporting local Ollama seats and cloud providers with safety routing.
