affaan-m/ECC
ECC is a comprehensive agent harness performance optimization system providing skills, instincts, memory, security, and research-first development for various AI agent harnesses including Claude Co...
Dicklesworthstone/ultimate_mcp_server
Ultimate MCP Server is a single Model Context Protocol server that aggregates a very wide set of capabilities behind one tool namespace, positioning itself as an operating system for AI agents rather than a focused integration. Everything is exposed as standard MCP tools, so any MCP client can call it. The functional areas listed in the README include a cognitive memory system giving agents persistent state and context across operations; browser automation built on Playwright; deep Excel spreadsheet manipulation; secure filesystem access; SQL database interaction; document processing with OCR; vector search and retrieval-augmented generation; entity relation graphs; text classification and specialised text processing; audio transcription; wrappers around command line tools such as ripgrep, awk, sed and jq; dynamic integration of external REST APIs; and meta tools for self-discovery, optimisation and documentation refinement. A second theme is provider abstraction and cost control. One interface fronts OpenAI, Anthropic, Google Gemini, xAI Grok, DeepSeek, OpenRouter and any OpenAI-compatible local server such as Ollama, llama.cpp, mistral.rs, vLLM or LM Studio, with a configurable local provider addressed by base_url and accounted at zero cost so the optimiser prefers it. On top of that sit cost-aware task routing that delegates suitable work from expensive models to cheap ones, multi-level caching described as exact, semantic and task-aware, and per-provider cost tracking; the project claims large API savings from routing plus handling routine work with non-LLM tools. The intended usage pattern is an advanced agent that receives a complex task, reaches for whichever tools it needs, keeps state in the memory system and orchestrates a multi-step workflow, returning results in standard MCP format. It requires Python 3.13 or later and is MIT licensed with an OpenAI and Anthropic rider.
https://github.com/Dicklesworthstone/ultimate_mcp_server
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