File Converter MCP Server

The File Converter MCP solves a common pain point for AI assistants that need to manipulate documents on the fly: converting between dozens of file formats without manual intervention. By exposing a single, well‑defined tool () that delegates to the robust Pandoc engine, the server lets agents transform Markdown, DOCX, HTML, PDF, EPUB and many other formats instantly. This capability is essential for workflows that ingest user‑supplied content, reformat it for downstream tasks (e.g., summarization, translation, or data extraction), and then deliver the result back to the user in a preferred format.

For developers building AI agents with LangChain, LangGraph, or other MCP‑compatible frameworks, this server provides a plug‑in that requires no custom parsing logic. Agents can simply call , passing file paths and format hints, and receive a confirmation or error message. Because the tool runs inside an MCP server, it benefits from all the built‑in security and isolation features of the protocol, ensuring that file paths are validated and that conversions cannot inadvertently expose sensitive data.

Key capabilities of the server include:

• Broad format support: Leveraging Pandoc’s extensive conversion matrix, agents can move documents between more than a hundred formats.
• Explicit format control: While Pandoc auto‑detects extensions, developers can override the input or output format to avoid ambiguity.
• Custom Pandoc options: The parameter allows agents to fine‑tune the conversion—adding a table of contents, setting PDF margins, or forcing standalone output.
• Docker‑ready deployment: A bundled Docker image contains Python, Pandoc, and the LaTeX stack needed for PDF generation, simplifying deployment across environments.

Real‑world scenarios that benefit from this MCP include:

• A customer support bot that receives a DOCX ticket description, converts it to Markdown for natural‑language processing, and returns a PDF summary.
• A content creation workflow where an AI writes an EPUB chapter that must be converted to a web‑ready HTML page.
• An automated compliance pipeline that normalizes various document types into PDF before archival.

Integrating the server into an AI workflow is straightforward: the agent issues a tool call, the MCP client forwards the request to the server, Pandoc performs the conversion, and the response is fed back into the agent’s context. Because the server handles file I/O and format handling, developers can focus on higher‑level logic—such as orchestrating multiple conversions or applying post‑processing steps—without worrying about the intricacies of document conversion.

In summary, the File Converter MCP server turns complex, multi‑format document handling into a single, reliable service that enhances the versatility of AI assistants. Its tight coupling with Pandoc, Docker support, and MCP integration make it a standout choice for developers looking to add robust file conversion capabilities to their AI‑powered applications.