agentic-ai-foundation-mcp.yml
The Model Context Protocol project — the standard AAIF governs — operates a live, anonymous remote MCP server on its own documentation host. tools/list returned HTTP 200 with three tools and full inputSchema for each; the response is saved verbatim as agentic-ai-foundation-mcp-tools-list.json. No authentication, no OAuth challenge, no API key.
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Descriptor
Candidate descriptor · transport streamable-http
Tools
search_model_context_protocol— Search across the Model Context Protocol knowledge base to find relevant information, code examples, API references, and guides.query_docs_filesystem_model_context_protocol— Run a read-only shell-like query (rg, grep, find, tree, ls, cat, head, tail, jq and friends) against a virtualized in-memory filesystem containing only the MCP documentation pages and OpenAPI specs. Stateless per call; output truncated to 30KB.submit_feedback— Report a problem with the documentation site so the docs team can fix it.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.