Multi-Model Collaboration Pipeline — orchestrate AI models as a DAG. RL routing, multi-verifier voting, agent mesh, self-improving. Works with OpenAI, Anthropic, Gemini, DeepSeek. npm install mmcp-core | pip install mmcp-core

Official CLI client for Retyc with MCP server

The Audited Context Generation (ACG) Protocol prevents AI hallucinations with a dual-layer system. The UGVP layer links every fact to a precise source for verification. The RSVP layer audits the AI's logical reasoning when combining facts. This creates a fully transparent, machine-auditable trail for both source and logical integrity.

Global Notion workspace-accessible MCP server for all Notion pages within the workspace

Local MCP server for batch analysis of .als files without needing to open the DAW. Extract project metadata to identify missing samples, audit plugin usage, find duplicate projects, etc. w/ structural hashing.

Open-source agent middleware — shared memory, credential isolation, and schema learning for AI agents. What one agent learns, every agent knows.

MCP server for pūrmemo — AI conversation memory that works everywhere. Save and recall conversations across Claude Desktop, Cursor, and other MCP-compatible platforms.

MCP (Model Context Protocol) that provides structured access to Azure Storage Accounts. Enables AI agents to list containers, browse blobs, and read metadata, enriching models with real file-based context from Azure Storage. Designed to be simple, scalable, and easy to integrate into MCP and RAG-based workflows.

Context-sync protocol for AI agents. Persistent memory, async messaging, codebase indexing. One-command setup.

📝 Enhance your Markdown workflow with this MCP server, designed for structured editing and full compliance with MCP 2025 standards.

MCP server for LangSearch Web Search & Semantic Rerank API. Use with Claude Code, Claude Desktop, and any MCP-compatible client.

Finance-ops RAG agent over two sources — real SEC EDGAR filings and FP&A planning documents — with answers grounded in retrieved passages, citations to the exact section, and a refusal when out-of-corpus. Demonstrates an end-to-end RAG pipeline, token minimization, and MCP-server retrieval tools. Built on public SEC data plus synthetic FP&A docs.

A lightweight Model Context Protocol (MCP) server that provides a bridge between Claude AI and a local Python environment.

Community registry of pre-built LCP manifests for Python packages — used by the LCP MCP Plugin as a fallback source.

Codebase context protocol — generate .dex/ for any project

🔍 Record browser sessions → Auto-discover hidden APIs → Export TypeScript SDK + OpenAPI 3.0 + MCP Server. Local-first, privacy-safe.

🌌 Official community hub for KYSYN. Roadmap, bug reports, and feedback for the Neural Backbone for Local Code Intelligence. Powered by the Ouroboros Protocol.

A collection of standardized workflows and protocols for orchestrating AI agents in complex environments.

🛠️ Enhance RAG systems with ACG to reduce hallucinations in LLM responses by improving accuracy and grounding in reliable external knowledge.