Integrate LLMs with External Tools via MCP
Enables LLMs to interact with external tools via the Model Context Protocol, executing tool calls and integrating results back into conversations.
Why it matters
Connect large language models like Claude to external tools and services using the Model Context Protocol. This asset enables LLMs to leverage tool outputs and integrate them back into conversations for more dynamic interactions.
Outcomes
What it gets done
Wire Anthropic's Claude to an MCP server.
Expose MCP server tools to the LLM.
Execute tool_use blocks emitted by the model.
Feed tool results back into the conversation.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/pfoo-mcp | bash Capabilities
What this chain does
Handles multi-turn conversations within a defined domain.
Pulls structured data fields from unstructured text.
Condenses long documents or threads into key takeaways.
Overview
Mcp
What it does
This example wires Claude up to a [Model Context Protocol](https://modelcontextprotocol.io) server through the Anthropic Messages provider. Promptfoo exposes the MCP server's tools to Claude, executes any `tool_use` blocks the model emits, and feeds the `tool_result` back into the conversation until Claude produces a final reply.
Source README
This example wires Claude up to a Model Context Protocol server through the Anthropic Messages provider. Promptfoo exposes the MCP server's tools to Claude, executes any tool_use blocks the model emits, and feeds the tool_result back into the conversation until Claude produces a final reply.
Discussion
Questions & comments · 0
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