Model Context Protocol (MCP) Agent Frameworks Demo MCP Server

Demonstrate Agentic use of Model Context Protocol (MCP) server tools with several Agent Frameworks

Local serverstdioPython

What is the Model Context Protocol (MCP) Agent Frameworks Demo MCP server?

Model Context Protocol (MCP) Agent Frameworks Demo MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. Demonstrate Agentic use of Model Context Protocol (MCP) server tools with several Agent Frameworks.

What you get

This repository demonstrates LLM Agents using tools from Model Context Protocol (MCP) servers with several frameworks: - Google Agent Development Kit (ADK) - LangGraph Agents - OpenAI Agents - Pydantic-AI Agents

The Model Context Protocol allows applications to provide context for LLMs in a standardised way, separating the concerns of providing context from the actual LLM interaction.

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Configuration and credentials

You will need 3 environment variables: GEMINI_API_KEY, OPENAI_API_KEY, LOGFIRE_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Choosing this one

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by andrewginns; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the model context protocol (mcp) agent frameworks demo mcp server does with a few real requests.

Configuration

VariableDescriptionRequired
GEMINI_API_KEYCredential the server authenticates with.Yes
OPENAI_API_KEYCredential the server authenticates with.Yes
LOGFIRE_TOKENCredential the server authenticates with.Yes

Frequently asked questions

The Model Context Protocol allows applications to provide context for LLMs in a standardised way, separating the concerns of providing context from the actual LLM interaction.