MCP server
OrchestKit Docs MCP
io.github.yonatangross/orchestkit
Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Working at last checkAbout 217 tokens per request once connected2 tools
https://orchestkit.dev/api/mcp
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Working at last check
- Tools
- 2
- Token cost
- About 217 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 25 Oct 2026, 20:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http orchestkit https://orchestkit.dev/api/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.orchestkit] url = "https://orchestkit.dev/api/mcp"
Gemini CLI
{"mcpServers":{"orchestkit":{"httpUrl":"https://orchestkit.dev/api/mcp"}}}
Cursor
{"mcpServers":{"orchestkit":{"url":"https://orchestkit.dev/api/mcp"}}}
VS Code
{"servers":{"orchestkit":{"type":"http","url":"https://orchestkit.dev/api/mcp"}}}
Antigravity
agy mcp add orchestkit https://orchestkit.dev/api/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"orchestkit","server_url":"https://orchestkit.dev/api/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"orchestkit","server_url":"https://orchestkit.dev/api/mcp"}
Tools
orchestkit_docs_get~117 tokens
Fetch one OrchestKit documentation page as Markdown. Use after orchestkit_docs_search to read a page in full. Input: the page path (e.g. '/docs/getting-started/installation'). Returns the page Markdown.orchestkit_docs_search~100 tokens
Search the OrchestKit documentation. Use this first to find the right page for a question. Input: a query string. Returns a ranked list of pages with titles and URLs.
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