file2markdown
Convert docs and web pages to clean Markdown: PDF, DOCX, XLSX, EPUB, scans, URLs. Batch of 10.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"file2markdown": {
"url": "https://mcp.file2markdown.ai/mcp"
}
}
}Remote endpoints
https://mcp.file2markdown.ai/mcpstreamable-httpWhat it can do
Tool inventory
Tools (5)
🟢convert_url(url, filename_hint, quality_check)
Fetch a URL (web page, PDF, Office doc, and more) and convert it to Markdown. Works on publicly accessible URLs. Web pages are converted from their served HTML; JavaScript-rendered content may be incomplete. Optional filename_hint (e.g. "report.pdf") helps format detection when the URL has no file extension. The result carries a `quality` object (output-health check of the returned Markdown: status review / no_issues_detected / not_evaluated, coverage and a list of issues with line locations). quality_check="basic" (default) runs only local deterministic checks. quality_check="ai" additionally sends selected excerpts of the CONVERTED text to TypeSafe for narrow yes/no judgments (garbled text, hard-wrapped prose, broken tables); it is off unless requested. No check compares against the source document.
Input Schema
{
"type": "object",
"properties": {
"url": {
"title": "Url",
"type": "string"
},
"filename_hint": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Filename Hint"
},
"quality_check": {
"default": "basic",
"title": "Quality Check",
"type": "string"
}
},
"required": [
"url"
],
"title": "convert_urlArguments"
}⚪convert_base64(content_base64, filename, quality_check)
Convert base64-encoded file contents to Markdown. filename is required and drives format detection (e.g. "report.docx"). Intended for programmatic MCP clients; for anything with a URL, prefer convert_url. quality_check: "basic" (default) attaches local output-health checks in the `quality` field; "ai" additionally sends selected excerpts of the converted text to TypeSafe for narrow yes/no judgments. See convert_url.
Input Schema
{
"type": "object",
"properties": {
"content_base64": {
"title": "Content Base64",
"type": "string"
},
"filename": {
"title": "Filename",
"type": "string"
},
"quality_check": {
"default": "basic",
"title": "Quality Check",
"type": "string"
}
},
"required": [
"content_base64",
"filename"
],
"title": "convert_base64Arguments"
}🟡convert_batch(items, quality_check, include_markdown)
Convert 2-10 documents to Markdown in one call (Pro API key required). Each item is either {"url": ..., "filename_hint"?: ...} or {"content_base64": ..., "filename": ...}; types may be mixed. Items are converted in parallel and isolated: one bad URL or file never fails the batch — its slot returns ok:false with the error. The combined markdown shares one output budget, split evenly across items (per-item `truncated` flags apply). Set include_markdown=false to get only metadata + quality per item (health-check a folder without flooding your context). Anonymous callers: use convert_url / convert_base64 individually.
Input Schema
{
"type": "object",
"properties": {
"items": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Items",
"type": "array"
},
"quality_check": {
"default": "basic",
"title": "Quality Check",
"type": "string"
},
"include_markdown": {
"default": true,
"title": "Include Markdown",
"type": "boolean"
}
},
"required": [
"items"
],
"title": "convert_batchArguments"
}🟢list_supported_formats
List supported input formats, per-tier limits, and which features need Pro. Single source of truth — do not claim capabilities beyond what this returns.
Input Schema
{
"type": "object",
"properties": {},
"title": "list_supported_formatsArguments"
}🟢usage_status
Check your tier and remaining conversions before burning a call.
Input Schema
{
"type": "object",
"properties": {},
"title": "usage_statusArguments"
}Recommended Prompts
list_supported_formatslist_supported_formatsCommunity
Evidence