ResearchPilot for LangChain
io.github.cnucho/researchpilot
Plan and verify evidence-aware research workflows with specialist execution receipts.
client:LangChain
transport:streamable-http
tools:23
Install ResearchPilot in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"researchpilot": {
"transport": "streamable_http",
"url": "https://researchpilot-academy-production.up.railway.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
- researchpilot_open_workspace
- researchpilot_capabilities
- researchpilot_check_method
- researchpilot_search_literature
- researchpilot_search_datasets
- researchpilot_research_registry
- researchpilot_build_collection_recipe
- researchpilot_content_analysis_template
- researchpilot_text_analysis_pilot
- researchpilot_handoff_summary
- researchpilot_handoff_context
- researchpilot_read_handoff_evidence
- researchpilot_get_profile
- researchpilot_list_projects
- researchpilot_get_project_context
- researchpilot_get_user_memory
- researchpilot_update_user_preferences
- researchpilot_record_routing_feedback
- researchpilot_list_work_artifacts
- researchpilot_read_work_artifact
- researchpilot_prepare_specialist_execution
- researchpilot_validate_specialist_receipt
- researchpilot_save_work_artifact