MCP Test

@w-jeon

Basic information

About MCP Test

mcp test

#mcp-framework#file-processing#web-content-retrieval

MCP Test config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-framework-w-jeon": {
      "command": "docker",
      "args": [
        "compose",
        "up",
        "--build",
        "-d"
      ]
    }
  }
}

MCP Test tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is mcp-test?

mcp-test is a framework for creating custom MCP tools that interact with large language models. It integrates file processing (PDF, Word, Excel) and web content fetching, designed for extending tools like Cursor IDE.

How to use mcp-test?

Deploy via Docker Compose or traditional Python. After setup, invoke tools by calling their names: file, pdf, word, excel, or url with the required parameters such as a file path or URL.

Key features of mcp-test

Automatic file type identification and handling
PDF processing with quick and full modes
Word document text, table, and image extraction
Excel multi-sheet parsing with structure info
Web page content retrieval with HTTP error handling
Modular tool architecture for easy extension

Use cases of mcp-test

Extract text and images from PDF documents for LLM analysis
Parse Word files to retrieve paragraphs, tables, and embedded images
Convert Excel spreadsheets into structured data for automated workflows
Fetch web page content as plain text for summarization or data collection
Integrate as an MCP server in Cursor IDE to add custom document processing

Frequently asked questions

How does mcp-test handle PDFs compared to other tools?

It uses PyMuPDF as the primary engine with fallback to pymupdf4llm and PyPDF2. It offers two modes: quick (text only, up to 50 pages) and full (text + images, up to 30 pages).

What are the runtime dependencies?

Python 3, plus packages: mcp, PyMuPDF, python-docx, pandas, openpyxl, httpx, anyio, click. System libraries like poppler and tesseract may be needed for advanced OCR.

Where does processed data live?

All processing happens locally on the server. Temporary files are created for large documents and automatically cleaned up.

Are there any known limits?

PDF full mode is capped at 30 pages, quick mode at 50 pages. HTTP requests have a 5‑minute timeout. Images in PDFs are downscaled to a maximum DPI and size.

What transport does mcp-test support?

It exposes an SSE (Server‑Sent Events) endpoint, typically at `http://localhost:8000/sse`. No authentication is mentioned in the provided documentation.

Comments

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