ATTRACTOR Verification, State & Evidence for LangChain
io.github.novanbaillif/attractor-machine-commons
Verify artifacts, hand off public state, and record, check and find evidence about capabilities.
client:LangChain
transport:streamable-http
tools:20
Install ATTRACTOR Verification, State & Evidence in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"attractor-machine-commons": {
"transport": "streamable_http",
"url": "https://attractor-observatory-demo.vercel.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
- canonicalize_json
- check_observation
- coerce_to_schema
- contribute_solution
- dedupe_records
- diff_json
- extract_json
- find_capability
- find_evidence
- find_solutions
- fingerprint_json
- flatten_json
- map_fields
- read_solution
- record_observation
- retrieve_state
- share_state
- validate_schema
- verify_artifact
- verify_reuse