Domain > vishalmysore-a2amcpmongo.hf.space

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Date	IP Address
2025-05-28	3.219.73.27 (ClassC)
2025-09-30	3.221.99.236 (ClassC)

HTTP/1.1 200 Date: Tue, 30 Sep 2025 13:07:52 GMTContent-Type: text/html;charsetUTF-8Content-Length: 7948Connection: keep-alivevary: Originvary: Access-Control-Request-Methodvary: Access-Control-Request-Headersvary: origin, access-control-request-method, access-control-request-headerslast-modified: Wed, 18 Jun 2025 21:16:53 GMTaccept-ranges: bytescontent-language: enx-proxied-host: http://10.108.28.192x-proxied-replica: 3mmqx4ns-tjpj8x-proxied-path: /link: https://huggingface.co/spaces/VishalMysore/a2aMCPMongo>;relcanonicalx-request-id: 35rB7saccess-control-allow-credentials: true

!DOCTYPE html>html langen>head>    meta charsetUTF-8>    meta nameviewport contentwidthdevice-width, initial-scale1.0>    title>Google A2A RAG with Spring, Java, and MongoDB Atlas/title>    style>        body {            font-family: Arial, sans-serif;            line-height: 1.6;            margin: 2rem;            background-color: #f9f9f9;        }        h1, h2, h3 {            color: #333;        }        pre {            background: #eee;            padding: 1rem;            overflow-x: auto;        }        code {            background: #eee;            padding: 2px 4px;            border-radius: 4px;        }        img {            max-width: 100%;            margin: 1rem 0;        }        a {            color: #0366d6;            text-decoration: none;        }    /style>/head>body>h1>🤖 Google A2A RAG with Spring, Java, and MongoDB Atlas/h1>p>This project demonstrates how to build a powerful strong>Retrieval-Augmented Generation (RAG)/strong> search application that integrates Googles Agent-to-Agent (A2A) protocol with Spring Boot and MongoDB Atlas. It is deployed live on Hugging Face at:/p>p>a hrefhttps://vishalmysore-a2amcpmongo.hf.space/ target_blank>https://vishalmysore-a2amcpmongo.hf.space//a>/p>p>You can discover active agents via:/p>pre>code>https://vishalmysore-a2amcpmongo.hf.space/.well-known/agent.json/code>/pre>p>a hrefhttps://github.com/vishalmysore/a2ajava>a2ajava/a> is a Swiss Army knife for building agentic applications. It is multi-protocol — works seamlessly with both A2A (Agent-to-Agent) and MCP (Model Context Protocol). It is multi-language — supports Java, Kotlin, and Groovy. It is multi-platform — compatible with Gemini, OpenAI, Claude, and Grok. It is multi-client — includes A2A and MCP clients with connectors in Java, Node, and Python. It offers multi-integration — out-of-the-box support for Selenium, human-in-the-loop workflows, and multi-LLM voting for consensus-based decision making. Agents built using the A2A protocol with a2ajava run seamlessly on MCP as well, ensuring maximum interoperability across platforms./p>h2>🌟 Key Features/h2>ul>    li>strong>A2A Protocol Integration/strong>: Seamless communication between AI agents/li>    li>strong>Vector-Based Search/strong>: Powered by MongoDB Atlas for semantic task retrieval/li>    li>strong>Real-time Task Storage/strong>: Automatic storage of A2A tasks in vector database/li>    li>strong>RESTful API/strong>: Easy-to-use endpoints for task management/li>    li>strong>Spring Boot Framework/strong>: Built with enterprise-grade Java technology/li>    li>strong>Extensible Architecture/strong>: Adaptable for various use cases/li>/ul>h2>🛠️ Technology Stack/h2>ul>    li>strong>Backend/strong>: Spring Boot 3.x/li>    li>strong>Database/strong>: MongoDB Atlas with Vector Search/li>    li>strong>Protocol/strong>: Google A2A (Agent-to-Agent)/li>    li>strong>Search/strong>: Vector-based semantic search/li>    li>strong>API Documentation/strong>: OpenAPI/Swagger/li>/ul>img srcarchitecture.png altArchitecture>h2>📝 How It Works/h2>h3>Vector Storage Integration/h3>pre>code>@Overridepublic void preProcessing(String method, Object params) {    vectorService.ragStorage(method, params);}/code>/pre>h3>Task Management/h3>pre>code>public void ragStorage(String method, Object params) {    switch (method) {        case tasks/send:            addTask(new ObjectMapper().convertValue(params, TaskSendParams.class));            break;        case tasks/get:            addTask(new ObjectMapper().convertValue(params, TaskQueryParams.class));            break;    }}/code>/pre>h2>📸 Visual Guide/h2>h3>1. Agent Setup/h3>img srcaddAgent.png altAgent Addition>h3>2. Chat Interface/h3>img srcchatanswer.png altChat Interface>h3>3. Data Storage/h3>img srcmongo.png altMongoDB Storage>h3>4. Event Monitoring/h3>img srcevent.png altEvent Tracking>h3>5. Claude/h3>img srcclaude.png altClaude tool calling>h3>6. Claude tool chain/h3>img srcclaude1.png altClaude tool calling>h2>🔍 Using the API/h2>h3>Swagger/h3>pre>https://vishalmysore-a2amcpmongo.hf.space/swagger-ui/index.html/pre>h3>Task Retrieval Example/h3>pre>code>GET https://vishalmysore-a2amcpmongo.hf.space/taskText?namecricket/code>/pre>img srcretrival.png altTask Retrieval>h3> A2A Curl /h3>curl -H Content-Type: application/json -d {id: adk-342d4575-992d-40ce-a375-55081b3744cd, args: {agent_name: LaundryAssistant, message: wash my golf clothes and make them really shiny}, name: send_task}h3>🧺 Laundry Machine Agent Curl Commands for Claude/h3>pre>code># List Toolcurl -H Content-Type: application/json -d {jsonrpc: 2.0,method: tools/list,params: {}},id: 1} https://vishalmysore-a2amcpmongo.hf.space//code>/pre>pre>code># Start Washingcurl -H Content-Type: application/json -d {  jsonrpc: 2.0,  method: tools/call,  params: {    name: startWashing,    arguments: {      provideAllValuesInPlainEnglish: {}    }  },  id: 1} https://vishalmysore-a2amcpmongo.hf.space/# Stop Washingcurl  -H Content-Type: application/json -d {  jsonrpc: 2.0,  method: tools/call,  params: {    name: stopWashing,    arguments: {      provideAllValuesInPlainEnglish: {}    }  },  id: 2} https://vishalmysore-a2amcpmongo.hf.space/# Set Temperature to 40curl -H Content-Type: application/json -d {  jsonrpc: 2.0,  method: tools/call,  params: {    name: setTemperature,    arguments: {      provideAllValuesInPlainEnglish: {        arg0: 40      }    }  },  id: 3} https://vishalmysore-a2amcpmongo.hf.space/# Set Cycle Type to delicatecurl -u user:password -H Content-Type: application/json -d {  jsonrpc: 2.0,  method: tools/call,  params: {    name: setCycleType,    arguments: {      provideAllValuesInPlainEnglish: {        arg0: delicate      }    }  },  id: 4} https://vishalmysore-a2amcpmongo.hf.space/# Get Quote for Laundrycurl -u user:password -H Content-Type: application/json -d {  jsonrpc: 2.0,  method: tools/call,  params: {    name: getQuoteForLaundry,    arguments: {      provideAllValuesInPlainEnglish: {        arg0: cotton,        arg1: 3kg      }    }  },  id: 5} https://vishalmysore-a2amcpmongo.hf.space/# Get Machine Statuscurl -u user:password -H Content-Type: application/json -d {  jsonrpc: 2.0,  method: tools/call,  params: {    name: getStatus,    arguments: {      provideAllValuesInPlainEnglish: {}    }  },  id: 6} https://vishalmysore-a2amcpmongo.hf.space//code>/pre>h2>🚀 Getting Started/h2>ol>    li>Clone the repository/li>    li>Configure MongoDB Atlas connection in code>application.yml/code>/li>    li>Set up environment variables:        ul>            li>code>DB_USER/code>/li>            li>code>DB_PASSWORD/code>/li>            li>code>OPENAI_API_KEY/code>/li>        /ul>    /li>    li>Build and run with Maven:        pre>code>mvn spring-boot:run/code>/pre>    /li>/ol>h2>📄 License/h2>p>This project is licensed under the MIT License - see the LICENSE file for details./p>h2>🤝 Contributing/h2>p>Contributions are welcome! Please feel free to submit a Pull Request./p>/body>/html>

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pinyuchen-attention-tracker.hf.space	2025-08-26	3.232.180.39

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