A practical, no-hype workflow for AI coding agents: context, plan, implement, review, QA, ship, retro. Templates, two Claude Code skills, and a 40% context rule - every claim traced to official docs.
Stop re-explaining your data to your AI every session. The individual-analyst context layer, delivered over MCP (Claude Code / Cursor / Codex).
ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query analytical databases accurately and with full context of your company
Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode
The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Offline context handoff between coding agents. Read local histories into fresh sessions; source stores stay unchanged. Stdlib-only Python, not live session restore.
An implementation of Model Context Protocol (MCP) server for Argo CD.
The open-source company brain. Run your entire company with AI agents, skills, and a self-improving context.
Model Context Protocol (MCP) Server to connect your AI with any MediaWiki
A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
Algorand Local Model Context Protocol (Server & Client)
A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.

Privacy Code Scanner and Dataflow Context Engine for AI coding agents
Model Context Protocol (MCP) server for the Webflow Data API.
Structured planning and persistent context for AI coding agents. Plan multi-phase work once and any agent (Claude Code, Codex, OpenCode) executes it across sessions without losing the thread.
Model Context Protocol (MCP) Server for the Keboola Platform
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
The agentic workspace where people and agents work together in the loop.
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
A Git-native knowledge layer for your team — and a set of tool suite that keeps it alive.
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs
A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files.
Cut context bloat in your AI-agent stack: find and safely prune unused skills, MCP servers and subagents from real transcript evidence