OrcaLayer REST API Reference — orcalayer mcp MCP Resource
OrcaLayer REST API Reference
is one of 3 resources on the
orcalayer mcp
MCP server. Connect the server and your client can attach it as context.
by client
How to attach OrcaLayer REST API Reference from your client
- Claude Code orcalayer mcp Resource/OrcaLayer REST API Reference run in your project directory
- Claude Desktop orcalayer mcp Resource/OrcaLayer REST API Reference ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor orcalayer mcp Resource/OrcaLayer REST API Reference ~/.cursor/mcp.json
- VS Code orcalayer mcp Resource/OrcaLayer REST API Reference .vscode/mcp.json
- Zed orcalayer mcp Resource/OrcaLayer REST API Reference ~/.config/zed/settings.json
- Windsurf orcalayer mcp Resource/OrcaLayer REST API Reference ~/.codeium/windsurf/mcp_config.json
- Cline orcalayer mcp Resource/OrcaLayer REST API Reference ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI orcalayer mcp Resource/OrcaLayer REST API Reference ~/.gemini/settings.json
- Grok orcalayer mcp Resource/OrcaLayer REST API Reference .mcp.json (in your project root)
- ChatGPT orcalayer mcp Resource/OrcaLayer REST API Reference Settings → Connectors → Advanced → Developer mode
- Claude.ai orcalayer mcp Resource/OrcaLayer REST API Reference Settings → Connectors → Add custom connector
- LangChain orcalayer mcp Resource/OrcaLayer REST API Reference pip install langchain-mcp-adapters
Other resources on this server
orcalayer mcp also offers 4 prompts — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 14 November 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.