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AG UI Chatbot MCP Server

Enables dynamic UI template generation through natural language using Model Context Protocol, supporting multiple AI model providers like Bedrock, OpenAI, and Google.

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// key findings
🚨
Reads files from sensitive locations
Touches: .env.local, .env.local
🚨
Known vulnerabilities in dependencies: 1 critical, 9 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
🔐
You'll be asked for 1 credential: AWS_SECRET_ACCESS_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
configAWS_ACCESS_KEY_IDBedrock , AWS_SECRET_ACCESS_KEY, BEDROCK_MODEL_ID
configAWS_PROFILEexport =your-profile
configAWS_REGION
🔐 secretAWS_SECRET_ACCESS_KEYBedrock AWS_ACCESS_KEY_ID, , BEDROCK_MODEL_ID
configBEDROCK_MODEL_IDBedrock AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY,
configCDK_DEFAULT_ACCOUNT
configCDK_DEFAULT_REGION
configGOOGLE_MODEL_IDGoogle GOOGLE_API_KEY,
configGROQ_MODEL_IDGroq GROQ_API_KEY,
configMODEL_PROVIDERLocal: Use Google Gemini, OpenAI (GPT-4o, GPT-4, GPT-3.5), or Groq (Llama 3, Mixtral, etc.) by setting the environment variable.
configOPENAI_MODEL_IDOpenAI OPENAI_API_KEY,
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/pratikjadhav2726-ag-ui-chatbot-gou321)](https://m8ven.ai/mcp/pratikjadhav2726-ag-ui-chatbot-gou321)
commit: 22ace41f68847d47f87a059e962ececbec56d4bb
code hash: c828d9e04a359daa9ef5ddf23be32916c4acde3c735458a60e68a516ab948f0a
verified: 6/3/2026, 12:32:21 PM
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