context-protocol

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

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.

A small, human-readable context handoff protocol for carrying working context across AI systems.

Reference identity provider and gateway for context requests and contributions.

User Context Protocol — the missing standard for human-to-AI memory

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

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.

Sovereign context, memory and provenance infrastructure for AI agents. Bitemporal knowledge, evidence and decision lineage, delivered to any agent over the EPCTX/1 protocol (SDK/REST/MCP). Local-first, zero-egress, no mandatory LLM. MIT.

Leak-safe caching for the Model Context Protocol's SEP-2549 cache hints (ttlMs + cacheScope) — set them right server-side, and never serve a private result across users/tenants client-side.

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

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.

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