ModelBound

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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.

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Author
Unknown
Categories
Productivity, Developer Tools, Automation

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 theContext API— one OpenAI-compatible/v1/queryURL that drops into LangChain, LlamaIndex, CrewAI, Autogen, and OpenAI Assistants.

Validate, lint, and convert skills offline. No API key, no network required.

Add support for your IDE in ~50 lines. Cursor, Claude, Kiro, Windsurf, VS Code, Amazon Q ship in the box.

Bring your ownMODELBOUND_API_KEYto push, pull, search, and install from the marketplace.

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.

Terminal & CI/CD client for ModelBound

Run token optimization, skill pipelines, trust scoring, and config audits from your shell or GitHub Actions. Uses the same API key as the MCP server and Context API. Idempotent retries, OS keychain credential storage, JSON output for scripting.

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

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.

Runtime continuity layer MCP for AI coding agents, providing persistent workspace state and session context across tools and runs.

Provides preset prompt templates as tools to assist clients like Cursor and Windsurf in executing various tasks.

AppContext gives your AI coding agent instant visual insight into what you're developing, so it can fix issues, refine UI, and accelerate your development workflow in real time.

MCP-powered local platform turns vibe coding into a game. Steam-style achievements for Claude Code, Hermes and more.

A manager server for MCP servers that handles process management and tool routing.

A Windows and MacOS app to manage local and remote MCP servers from a single interface with secure access control and logging.

A CLI tool to synchronize MCP (Model Context Protocol) settings across multiple AI coding tools.

Execute any LLM-generated code in the YepCode secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages

Agent-native developer Q&A API with MCP + A2A endpoints for citations, job pickup, and answer submission.

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