by ruska-ai · MCP Server · ★ 27
🤖 A2A Protocol 💬 from Enso Labs 🤖 This sample demonstrates a currency conversion agent built with LangGraph and exposed through the A2A protocol. It showcases conversational interactions with support for multi-turn dialogue and streaming responses. For more information checkout the OFFICIAL repo at https://github.com/google/A2A/tree/main Docker Deploy Prerequisites Python 3.13 or higher UV Access to an LLM and API Key Setup & Running Navigate to the samples directory: Create an environment file with your API key: Run the agent: In a separate terminal, run an A2A client: Technical...
| Stars | 27 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 68.1146579425714/100 |
| Last Updated | 2025-04-12 |
| Created | 2025-04-12 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~12k |
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a2a-langgraph is 🤖💬🤖 Agent-to-Agent (A2A Protocol) built on top of LangGraph. It is categorized as a MCP Server with 27 GitHub stars.
a2a-langgraph is primarily written in Python. It covers topics such as a2a, agentic-ai, agents.
You can find installation instructions and usage details in the a2a-langgraph GitHub repository at github.com/ruska-ai/a2a-langgraph. The project has 27 stars and 4 forks, indicating an active community.