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MCP Server (Mortgage Comparison Platform)

@confersolutions

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

confersolutions

关于 MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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