LlamaIndex - Darwin

Use LlamaIndex’s MCP tool adapter to discover Darwin’s current tools at runtime. Darwin Search finds capabilities that can perform work; your LlamaIndex retrieval layer still owns document retrieval and citations.

Get started

pip install llama-index-tools-mcp

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

client = BasicMCPClient("https://mcp.darwin.so/mcp")
spec = McpToolSpec(client=client)
darwin_tools = await spec.to_tool_list_async()

Pass darwin_tools to the agent or workflow that needs Darwin. Complete OAuth through the MCP transport before exposing Action tools.

Try it

Search Darwin for a capability that can extract text from a PDF. Show the exact
capability ID and revision, and do not start an Action.

Retrieval versus capability discovery

Question	Best source
“What do these documents say?”	Your LlamaIndex retrieval and citation layer
“What can perform this work?”	Darwin Search
“Run the option I selected.”	Darwin Act

Keep citations, capability evidence, and execution state labeled separately. Persist the selected revision and actionId outside the model conversation, and return typed approval or browser interactions to the application. View the complete Darwin recipe or LlamaIndex’s current MCP documentation.

Last modified on September 22, 2026