langchain-neuronto

LangChain integration for Neuronto, an Agentic Resource Discovery (ARD) registry. Describe the capability you need in plain language and get back matching tools, APIs and MCP servers.

It provides:

• NeurontoSearchTool: a LangChain tool an agent can call.
• NeurontoRetriever: a retriever returning Documents for use in chains.

Install

pip install langchain-neuronto

Searching works without credentials. If you have an API key, set NEURONTO_API_KEY (sent as a bearer token) or pass api_key=....

Tool in an agent

from langchain.agents import create_agent
from langchain_neuronto import NeurontoSearchTool

agent = create_agent("openai:gpt-4o-mini", tools=[NeurontoSearchTool(limit=5)])
result = agent.invoke({"messages": [("user", "Find an MCP server that can charge a credit card")]})

Retriever in a chain

from langchain_neuronto import NeurontoRetriever

retriever = NeurontoRetriever(k=3)
for doc in retriever.invoke("charge a credit card"):
    print(doc.metadata["name"], doc.metadata["url"], doc.metadata.get("mcp"))

Each document has the entry description as page_content and name, url, type, identifier, score and (for MCP servers) mcp in its metadata.

Filtering by type

from langchain_neuronto import NeurontoSearchTool, NeurontoRetriever

tool = NeurontoSearchTool()
print(tool.invoke({"query": "weather forecast", "type": "application/mcp-server-card+json"}))

mcp_only = NeurontoRetriever(k=5, type="application/mcp-server-card+json")

Options

API reference: https://neuronto.com/api-docs

License

Apache-2.0