ModelBound MCP Server
Local-first MCP server for agent skills. Validate, lint, diff, and convert agent skill files across Cursor, Claude, Kiro, Windsurf, VS Code, and Amazon Q — no account required. Optional cloud sync with ModelBound.
Documentation
Feedback
Open Source
Build the agent skills toolchain with us
Our IDE tooling is open source under MIT. You can use it without a ModelBound account, fork it, extend it to your editor of choice, or contribute new linters, converters, and adapters.
Prefer to call ModelBound from your own agent code? Skip the IDE plumbing and use the Context API — one OpenAI-compatible /v1/query URL that drops into LangChain, LlamaIndex, CrewAI, Autogen, and OpenAI Assistants.
Local-first
Validate, lint, and convert skills offline. No API key, no network required.
Pluggable IDE adapters
Add support for your IDE in ~50 lines. Cursor, Claude, Kiro, Windsurf, VS Code, Amazon Q ship in the box.
Optional cloud sync
Bring your own MODELBOUND_API_KEY to push, pull, search, and install from the marketplace.
modelbound-mcp-server
MIT
Node 20+
stdio
Local-first
Local-first MCP server for agent skills
A local MCP server you can run over stdio in any IDE. Validate, lint, diff, and convert agent skill files across Cursor, Claude, Kiro, Windsurf, VS Code, Amazon Q, and AGENTS.md formats — entirely offline. Add a ModelBound API key to also pull, push, search, and install from the cloud library.
npx modelbound-mcp
modelbound-cursor-extension
MIT
VS Code
Cursor
Cursor / VS Code extension
Auto-syncs your skills, rules, and system prompts between your IDE and your ModelBound library. The fastest way to keep .cursor/rules, .claude/, .kiro/skills, and .modelbound/ in lockstep with your team.
Search “ModelBound” in the VS Code marketplace
Looking for a good first issue?
The MCP server has an open roadmap of new IDE adapters (Zed, Aider, Continue, JetBrains AI), additional skill linters, and format converters. Each adapter is a small module with a stable interface — easy to contribute, easy to review.