by vishal2612200 · MCP Server · ★ 21
AgentPack Local context engine for AI coding agents. AgentPack ranks relevant repository files and builds compact task-focused context packs for Claude Code, Codex, Cursor, Windsurf, Antigravity, MCP tools, CI jobs, and markdown-based LLM workflows. It runs local/offline repo analysis, compresses selected files into a token budget, and keeps context fresh through CLI commands, MCP tools, hooks, and agent integrations. Use it when an AI coding agent needs a ranked starting map instead of burning tool calls redi
| Stars | 21 |
| Forks | 11 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 67.9530972208553/100 |
| Open Issues | 16 |
| Last Updated | 2026-07-07 |
| Created | 2026-04-28 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~19k |
These tools work well together with agentpack for enhanced workflows:
Explore other popular mcp server tools:
agentpack is Local context engine for AI coding agents. Routes tasks to relevant files, tests, rules, and skills, supports prompt caching, and builds compact context packs for Claude Code, Codex, Cursor, MCP, and . It is categorized as a MCP Server with 21 GitHub stars.
agentpack is primarily written in Python. It covers topics such as ai-coding-agent, claude-code, cli.
You can find installation instructions and usage details in the agentpack GitHub repository at github.com/vishal2612200/agentpack. The project has 21 stars and 11 forks, indicating an active community.
agentpack is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.