Did It Work? for LangChain
org.diditwork/did-it-work
Charity evidence for AI agents: cited evaluator figures, caveats and an outcome ledger. Read-only.
client:LangChain
transport:streamable-http
tools:22
Install Did It Work? in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"did-it-work": {
"transport": "streamable_http",
"url": "https://api.diditwork.org/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
- decision_brief
- recommend_charity
- list_charities
- search_orgs
- get_org
- compare_charities
- verdict_chain
- estimate_impact
- report_decision_effect
- list_leaderboards
- get_review_queue
- get_trust
- get_tax
- allocate_portfolio
- create_giving_intent
- list_claims
- get_claim
- list_values_profiles
- get_values_profile
- list_ledger_records
- get_ledger_record
- get_meta