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glama

AI Agent Automation Hub MCP Server

Enables AI agents to manage personal expenses via natural language through add, query, summarize, and delete expense tools.

→ kalavakuntabharathkumar/AI-Agent-Automation-Hub-MCP-Based-Multi-Tool-Backend-Platform· listed on glama
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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 5 credentials: ANTHROPIC_API_KEY, OPENAI_API_KEY, MCP_DEMO_PASSWORD, DJANGO_SECRET_KEY, JWT_SECRET_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.
configAI_PROVIDER— Set in your .env file:
configFASTAPI_BASE_URL— Yes Base URL of FastAPI server for MCP/agent
configANTHROPIC_MODEL— claude-3-5-haiku-20241022
🔐 secretANTHROPIC_API_KEY— sk-ant-...
configOPENAI_MODEL— gpt-4o-mini
🔐 secretOPENAI_API_KEY— If using OpenAI OpenAI API key
configMCP_DEMO_USERNAME
🔐 secretMCP_DEMO_PASSWORD
🔐 secretDJANGO_SECRET_KEY— Yes Django secret key
configDJANGO_DEBUG
configDJANGO_ALLOWED_HOSTS
configDATABASE_URL— cp .env.example .env && nano .env # fill in , API keys
🔐 secretJWT_SECRET_KEY— Yes FastAPI JWT signing key
configJWT_ALGORITHM
configACCESS_TOKEN_EXPIRE_MINUTES
// 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 4 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/kalavakuntabharathkumar-ai-agent-automation-hub-mcp-based-multi-tool-b-15goml)](https://m8ven.ai/mcp/kalavakuntabharathkumar-ai-agent-automation-hub-mcp-based-multi-tool-b-15goml)
commit: 12a2f5b696dedaef3be6f1046e81f74d551ab99a
code hash: 7214118e118056bb685d189bca4c200d4f86d7fd20a23e0c3e51498f3db50ef5
verified: 7/29/2026, 9:32:11 AM
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