Packages

High-performance CLI tool to convert codebases to Markdown for LLM context

Agent-agnostic middleware that cuts JSON payload bloat with lazy handles and teasers

The official MCP Server for the Context Dev API

Context Engineering is a MCP server that gives AI agents perfect understanding of your codebase. Eliminates context loss, reduces token usage, and generates comprehensive feature plans in minutes. Compatible with Cursor, Claude Code, and VS Code.

Context sync layer for AI agents. Ensures continuity and eliminates memory drift automatically.

MCP server for Context Forge — generates structured AI context prompts from project configuration and templates

Intelligent contextual memory MCP server for developers

Opinionated .context-first MCP server for local knowledge retrieval via stdio.

Zero model drift between AI agents. Session continuity for Claude, GPT, Gemini, and any LLM.

Semantic search knowledge base for MCP-enabled AI assistants. Index local files or GitHub repos, query with natural language. Built on LanceDB vector storage. Works with Claude Desktop, Cursor, and other MCP clients.

Semantic search knowledge base with serverless LanceDB. Zero setup, 100% local, 25+ file types

MCP server for contextlint

Situational awareness — holidays, business hours, and platform status for timing-sensitive actions.

A Model Context Protocol server providing intelligent context management and web content fetching capabilities for AI assistants

MCP proxy that lazy-loads tool schemas to cut context token overhead by 6-7x

MCP server for local-first, version-aware library documentation via ContextQMD