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  3. Deep Agent Real Estate
MCP server · RAG

Deep Agent Real Estate

· github.com/Tejas-TA/deep-agent-real-estate

Bridging Generative AI and Classical ML. A production-grade multi-agent system using ReAct orchestration, MCP, A2A, and LMMs for hyper-local property valuation with Evals.

Unclaimed a2a-protocolagentic-ragfastapifine-tuning-llmgradio-python-llmlanggraph-agentslangsmithmcp-servermulti-agent-systemsmultimodalopen-street-mapsrag-pipelinereal-estate-datastreamlit-webappxgboost-regression
InstallView source
34Low

Scored 7 hours ago · breakdown

About Deep Agent Real Estate

Deep Agent Real Estate is an MCP server in the RAG category: bridging Generative AI and Classical ML. A production-grade multi-agent system using ReAct orchestration, MCP, A2A, and LMMs for hyper-local property valuation with Evals. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/Tejas-TA/deep-agent-real-estate

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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Questions

About Deep Agent Real Estate

How do I install Deep Agent Real Estate?

Run git clone https://github.com/Tejas-TA/deep-agent-real-estate, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Deep Agent Real Estate safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Deep Agent Real Estate still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.