A self-hosted registry and MCP server for reusable AI-agent skills
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# Shared Skills Registry MCP [](https://github.com/cobibean/shared-skills-registry-mcp/actions/workflows/ci.yml) **Status:** self-hosted alpha. Latest release: [GitHub releases](https://github.com/cobibean/shared-skills-registry-mcp/releases) · PyPI: [`shared-skills-registry-mcp`](https://pypi.org/project/shared-skills-registry-mcp/) (prerelease — install with `--pre`). **One self-hosted registry for your AI-agent skills — served to every MCP-capable agent you run.**  Open SSR is a **runtime-neutral** skill registry. Publish a skill bundle (`SKILL.md` plus its references, templates, and scripts) once, and any MCP client — Claude Code, Claude Desktop, Cursor, Windsurf, Hermes, or your own SDK — can discover it, inspect the exact files and SHA-256 checksums, and install it into a local skills directory with guardrails. Every tool call and every install lands in a human-readable audit trail. It is one small Python service you run yourself: - **Runtime-neutral** — skills are served over plain MCP, so they are not siloed inside one vendor's plugin marketplace or a single agent's profile directory. - **Self-hosted** — a single `pip install`, no accounts, no hosted service, no lock-in; your skills stay on your machines. - **Trust-inspectable** — checksum-bearing bundle retrieval, caller-local installs bounded to an explicitly configured directory, whole-bundle replacement so stale files never survive updates, and a JSONL audit log of every action. - **Honestly scoped** — an alpha for loopback or controlled private networks, with a written [threat model](docs/THREAT-MODEL.md) and [known limitations](docs/KNOWN-LIMITATIONS.md) instead of marketi…
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