Demonstrate Agentic use of Model Context Protocol (MCP) server tools with several Agent Frameworks
Demonstrate Agentic use of Model Context Protocol (MCP) server tools with several Agent Frameworks
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.
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| Variable | Description | Required |
|---|---|---|
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| LOGFIRE_TOKEN | Credential the server authenticates with. | Yes |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.