{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_p3a26kwg8znw","handle":"iflow-mcp-gradio-mcp-agent-hack","url":"https://wellknown.network/agents/iflow-mcp-gradio-mcp-agent-hack","links":{"self":"https://wellknown.network/agents/iflow-mcp-gradio-mcp-agent-hack/record.json","html":"https://wellknown.network/agents/iflow-mcp-gradio-mcp-agent-hack","markdown":"https://wellknown.network/agents/iflow-mcp-gradio-mcp-agent-hack/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-gradio-mcp-agent-hack","status":"https://wellknown.network/api/v1/agents/iflow-mcp-gradio-mcp-agent-hack/status","claim":"https://wellknown.network/agents/iflow-mcp-gradio-mcp-agent-hack/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-gradio-mcp-agent-hack/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-gradio-mcp-agent-hack/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-gradio-mcp-agent-hack/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-gradio-mcp-agent-hack/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-gradio-mcp-agent-hack","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_gradio-mcp-agent-hack","summary":"Advanced MCP Hub with Inter-Agent Communication and Performance Monitoring","description":"---\ntitle: ShallowCodeResearch\nemoji: 📉\ncolorFrom: red\ncolorTo: pink\nsdk: gradio\nsdk_version: 5.33.1\napp_file: app.py\npinned: false\nshort_description: Coding research assistant that generates code and tests it\ntags:\n- mcp\n- multi-agent\n- research\n- code-generation\n- ai-assistant\n- gradio\n- python\n- web-search\n- llm\n- modal\n- mcp-server-track\npython_version: '3.12'\n---\n\n# Shallow Research Code Assistant - Multi-Agent AI Code Assistant\n\n## Technologies Used\n\nThis is part of the MCP track for the Hackathon (with a smidge of Agents)\n\n- Gradio for the UI and MCP logic\n- Modal AI for spinning up sandboxes for code execution\n- Nebius, OpenAI, Anthropic and Hugging Face can be used for LLM calls\n- Nebius set by default for inference, with a priority on token speed that can be found on the platform\n\n❤️ **A very big thank you to the sponsors for the generous credits for this hackathon and Hugging Face and Gradio for putting this event together** 🔥\n\n<a href=\"https://glama.ai/mcp/servers/@CodeHalwell/gradio-mcp-agent-hack\">\n  <img width=\"380\" height=\"200\" src=\"https://glama.ai/mcp/servers/@CodeHalwell/gradio-mcp-agent-hack/badge\" alt=\"Hub MCP server\" />\n</a>\n\n**Special thanks to Yuvi for putting up with us in the Discord asking for credits 😂**\n\n## 🚀 **Multi-agent system for AI-powered search and code generation**\n\n## What is the Shallow Research MCP Hub for Code Assistance?\n\nShallow Research Code Assistant is a sophisticated multi-agent research and code assistant built using Gradio's Model Context Protocol (MCP) server functionality. It orchestrates specialized AI agents to provide comprehensive research capabilities and generate executable Python code. This \"shallow\" research tool (Its definitely not deep research) augments\nthe initial user query to broaden scope before performing web searches for grounding.\n\nThe coding agent then generates the code to answer the user question and checks for errors. 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