get_api_collection — pipehero MCP Tool Read-only
get_api_collection
(get api collection) is one of 22 tools on the
pipehero
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call get_api_collection from your client
- Claude Code pipehero get_api_collection run in your project directory
- Claude Desktop pipehero get_api_collection ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor pipehero get_api_collection ~/.cursor/mcp.json
- VS Code pipehero get_api_collection .vscode/mcp.json
- Zed pipehero get_api_collection ~/.config/zed/settings.json
- Windsurf pipehero get_api_collection ~/.codeium/windsurf/mcp_config.json
- Cline pipehero get_api_collection ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI pipehero get_api_collection ~/.gemini/settings.json
- Grok pipehero get_api_collection .mcp.json (in your project root)
- ChatGPT pipehero get_api_collection Settings → Connectors → Advanced → Developer mode
- Claude.ai pipehero get_api_collection Settings → Connectors → Add custom connector
- LangChain pipehero get_api_collection pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http pipehero https://mcp.pipehero.app/mcp
Other tools on this server
- list_tunnels
- list_requests
- get_request
- replay_request
- send_test_webhook
- set_long_requests
- set_ws_passthrough
- list_api_collections
- get_api_endpoint
- create_api_collection
- upsert_api_endpoint
- add_api_example
- delete_api_endpoint
- import_api_spec
- export_api_collection
- run_api_endpoint
- save_captured_request
- list_api_monitors
- list_api_proposals
- check_api_drift
- list_api_runs
This list was read from the server itself, by connecting to it and calling tools/list on 24 September 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.