TypeSafe AI Documentation MCP Server

Hosted, anonymous, read-mostly MCP server over the published TypeSafe documentation corpus. Three tools: search_type_safe_ai (knowledge-base search), query_docs_filesystem_type_safe_ai (read-only rg/tree/head over a virtualised in-memory filesystem of the docs) and submit_feedback (the one write, reporting a documentation defect). It does NOT expose the System One evaluation endpoint — an agent can read everything about Jev over MCP and call none of it.

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Every API here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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API entry from apis.yml

apis.yml Raw ↑
aid: typesafe-ai:docs-mcp
name: TypeSafe AI Documentation MCP Server
description: 'Hosted, anonymous, read-mostly MCP server over the published TypeSafe documentation corpus.
  Three tools: search_type_safe_ai (knowledge-base search), query_docs_filesystem_type_safe_ai (read-only
  rg/tree/head over a virtualised in-memory filesystem of the docs) and submit_feedback (the one write,
  reporting a documentation defect). It does NOT expose the System One evaluation endpoint — an agent
  can read everything about Jev over MCP and call none of it.'
humanURL: https://docs.typesafe.ai/introduction
baseURL: https://docs.typesafe.ai/mcp
tags:
- MCP
- Agent-Native
- Developer Tools
tags_raw:
- mcp
- agent-native
- developer-tools
properties:
- type: MCPServer
  url: mcp/typesafe-ai-mcp.yml
- type: MCPServer
  name: MCP endpoint (provider-hosted)
  url: https://docs.typesafe.ai/mcp
- type: ToolCrosswalk
  url: mcp/typesafe-ai-tool-crosswalk.yml
- type: Documentation
  url: https://docs.typesafe.ai/agent-skill