pipehero for LangChain
io.github.pipehero/pipehero
Debug webhooks from your AI agent: inspect and replay captured webhooks on localhost.
client:LangChain
transport:streamable-http
tools:22
Install pipehero in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"pipehero": {
"transport": "streamable_http",
"url": "https://mcp.pipehero.app/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- list_tunnels
- list_requests
- get_request
- replay_request
- send_test_webhook
- set_long_requests
- set_ws_passthrough
- list_api_collections
- get_api_collection
- 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