Loading…
ContextLayer bridges the gap between traditional REST APIs and AI assistants, enabling seamless integration with Claude, VS Code Copilot, and other MCP-compatible tools without requiring any code modifications to your existing APIs.
contextlayer is an MCP server entry in ChatHome Skills, sourced from GitHub MCP Search and scored 46/100. ContextLayer bridges the gap between traditional REST APIs and AI assistants, enabling seamless integration with Claude, VS Code Copilot, and other MCP-compatib. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding contextlayer to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
git clone https://github.com/Joel-hanson/contextlayer.gitReview the upstream source before running this command.
Scan coverage: Install metadata and repository README.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
{
"fullName": "Joel-hanson/contextlayer"
}ContextLayer bridges the gap between traditional REST APIs and AI assistants, enabling seamless integration with Claude, VS Code Copilot, and other MCP-compatible tools without requiring any code modifications to your existing APIs.