MCP server integration for the Agent Skills format — expose skills as MCP tools and resources (https://agentskills.io)
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"agentskills-mcp-server","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# agentskills-mcp-server [](https://pypi.org/project/agentskills-mcp-server/) [](https://pypi.org/project/agentskills-mcp-server/) [](https://github.com/pratikxpanda/agentskills-sdk/blob/main/LICENSE) > MCP server integration for the [Agent Skills SDK](https://github.com/pratikxpanda/agentskills-sdk) - expose a skill registry as an MCP server. Creates a [Model Context Protocol](https://modelcontextprotocol.io/) server from a `SkillRegistry`, exposing skills as MCP tools and resources. Works with any MCP-compatible client (Claude Desktop, VS Code, custom clients, etc.). ## Installation ```bash pip install agentskills-mcp-server ``` With provider extras: ```bash pip install agentskills-mcp-server[fs] # filesystem provider pip install agentskills-mcp-server[http] # HTTP provider ``` With Agent Framework integration: ```bash pip install agentskills-mcp-server[agentframework] # MCP context provider for Agent Framework ``` Requires Python 3.12 or newer. Installs `agentskills-core`, `mcp`, and `pydantic` as dependencies. ## Quick Start (CLI) Create a `server.json` config file: ```json { "name": "My Skills Server", "skills": [ { "id": "incident-response", "provider": "fs", "options": {"root": "./skills"} } ] } ``` Start the server: ```bash python -m agentskills_mcp_server --config server.json ``` With Streamable HTTP transport: ```bash python -m agentskills_mcp_server --config server.json --transport streamable-http ``` The server listens on `http://127.0.0.1:8000/mcp`. ### MCP Client Integration Any MCP-compatible client (Claude Desktop, VS Code, etc.) can connect to the server. Stdio (local): ```json { "command": "python", "args": ["-m", "agentskills_mcp_server", "…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.