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MCP Server (Mortgage Comparison Platform)

@confersolutions

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

confersolutions

MCP Server について

Canonical MCP server for parsing Loan Estimate (LE) and Closing Disclosure (CD) PDFs into MISMO-compliant JSON with LLM-enriched context. Built for AI-driven mortgage automation, compliance, and decisioning.

MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-mortgage-server": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Server (Mortgage Comparison Platform)?

A FastAPI-based server that provides mortgage document parsing and comparison tools through a standardized API, designed to be integrated with AI frameworks such as CrewAI, AutoGen, and LangChain. Currently in beta (v0.1.0) with a basic "hello" tool as a proof of concept; mortgage parsing tools are planned for future releases.

How to use MCP Server (Mortgage Comparison Platform)?

Clone the repository, create a virtual environment, install dependencies (fastapi, uvicorn, slowapi, python-dotenv, plus optional framework packages), create a .env file with API_KEY, and run python server.py. Use the /health, /tools, and /call endpoints, authenticating with the X-API-Key header.

Key features of MCP Server (Mortgage Comparison Platform)

  • FastAPI server with API key authentication, rate limiting, and CORS
  • Integrations with CrewAI, AutoGen, and LangChain
  • Extensible architecture for adding mortgage parsing tools
  • Open source under MIT license, maintained by Confer Solutions
  • Currently provides a "hello" tool for testing framework integrations
  • Future roadmap includes Loan Estimate and Closing Disclosure parsing

Use cases of MCP Server (Mortgage Comparison Platform)

  • Testing AI framework integrations with the provided "hello" tool
  • Building AI agents that can call mortgage comparison APIs (when parsing tools are available)
  • Developing and extending open-source mortgage analysis tooling
  • Prototyping multi-agent mortgage workflows using supported frameworks

よくある質問

1

What does the server currently do?

It implements a basic "hello" tool as a proof of concept for testing integrations with CrewAI, AutoGen, and LangChain. Mortgage document parsing and comparison tools are planned but not yet available.

2

What runtime dependencies are required?

Python with FastAPI, uvicorn, slowapi, and python-dotenv. Integration frameworks (crewai, autogen, langchain) are optional and only needed if using those examples.

3

How is authentication handled?

API key authentication is required for all endpoints except `/health`. The key is sent via the `X-API-Key` header. Rate limiting is also implemented (default 120 requests per minute per IP).

4

Where is data stored?

The server does not store any data; it processes requests and returns responses in memory. No database or persistent storage is mentioned.

5

What AI frameworks are supported out of the box?

CrewAI, AutoGen, and LangChain. Example integration code is provided in the repository under `examples/test_all_integrations.py`.

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