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.
@confersolutions
基本情報
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.
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"
]
}
}
}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。
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.
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.
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.
Python with FastAPI, uvicorn, slowapi, and python-dotenv. Integration frameworks (crewai, autogen, langchain) are optional and only needed if using those examples.
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).
The server does not store any data; it processes requests and returns responses in memory. No database or persistent storage is mentioned.
CrewAI, AutoGen, and LangChain. Example integration code is provided in the repository under `examples/test_all_integrations.py`.

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code
🚀 The fast, Pythonic way to build MCP servers and clients.
不止于 CSS
コメント