A2A-MCP-RealEstate

AI-powered Korean real estate analysis and recommendation system providing property data, location analysis, and combined investment and quality of life evaluation.

→ gum798/A2A-MCP-RealEstate · 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.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 5 credentials: GEMINI_API_KEY, MOLIT_API_KEY, SEOUL_API_KEY, NAVER_CLIENT_SECRET, TOPIS_API_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.

configAGENT_ID— agent-py-001

configAGENT_NAME— A2A_Python_Agent

configLOG_LEVEL

configPORT

🔐 secretGEMINI_API_KEY

🔐 secretMOLIT_API_KEY— your_molit_api_key_here

🔐 secretSEOUL_API_KEY

configNAVER_CLIENT_ID— your_naver_client_id_here

🔐 secretNAVER_CLIENT_SECRET— your_naver_client_secret_here

🔐 secretTOPIS_API_KEY

configENVIRONMENT— development

// 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/gum798-a2a-mcp-realestate-nvude2)](https://m8ven.ai/mcp/gum798-a2a-mcp-realestate-nvude2)

commit: 2ab2490e78ecca8873f8194f228c32e1c5e56f4c

code hash: e0a524f0f8be176d20c8428084a676a00756fde6c2909528fedc19f796ff15a0

verified: 6/23/2026, 10:28:02 AM

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