filetypeconverters
Remote Model Context Protocol server published by FileType Converters, exposing five tools for discovering supported file formats and converting files between 65 formats (PDF, Word DOCX, Excel XLSX, CSV, JSON, Markdown, HTML, EPUB, PNG, JPEG, WebP, HEIC, TIFF, SVG and more), including an AI Deep Read option for OCR of scans, photos and handwriting. Transport is Streamable HTTP with bearer-token auth for mutating calls.
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Endpoint
Hosted endpoint · transport
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
list_formats— List every file format this converter reads or writes (id, name, extensions, family). Use the id values as `from`/`to` in other tools.check_conversion— Check whether one format can be converted to another before sending a file. Returns the engine, whether AI Deep Read is needed, the options it accepts, and alternatives when the pair is not supported. Formats accept ids (docx), extensions (jpeg) or common names (word, excel).list_conversions— List supported target formats for a source format (or every source that can produce a target). Returns compact {from,to,slug,engine,mode} rows.convert_file— Convert a file. Provide the content as base64 OR a public https URL. `from` is optional when the filename/URL has an extension. Text outputs (Markdown, CSV, JSON, HTML...) up to 200 KB are returned inline as `text`; other outputs are returned as `base64` plus a `downloadUrl` that accepts the same bearer token. Max 10 MB per file. Set `deepRead: true` to read scans, photos and handwriting with AI Deep Read (1 credit per page).get_conversion— Fetch a previous conversion by id: status, warnings, and the output (inline text or base64) if it is still retained.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
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