mcp-registry/ai.file2markdown/file2markdown
As of 2026-10-21 16:31 UTC, the File2markdown MCP server is up with a Glimind reliability score of 93/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 8 outages in 90 days, with a median recovery of 7 minutes.
Convert docs and web pages to clean Markdown: PDF, DOCX, XLSX, EPUB, scans, URLs. Batch of 10.
Claude Code
claude mcp add --transport http file2markdown-mcp-server https://mcp.file2markdown.ai/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"file2markdown-mcp-server": {
"type": "http",
"url": "https://mcp.file2markdown.ai/mcp"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
5 of 5 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
9 parameter(s) across 3 tool(s) have no description.
Add a "description" to each parameter with its format and an example ("ISO 8601 date, e.g. 2026-10-17"). This is the commonest cause of wrong arguments on the first call. How to fix →
Handshake + tools/list takes ~1,873 ms.
Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.
No tool declares an outputSchema.
Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. 3 tool(s) still need parameter descriptions written by someone who knows the API. All of them as JSON: /v1/readiness/mcp-registry%2Fai.file2markdown%2Ffile2markdown/fixes
{
"name": "convert_base64",
"description": "Convert base64-encoded file contents to Markdown.\n\n filename is required and drives format detection (e.g. \"report.docx\").\n Intended for programmatic MCP clients; for anything with a URL, prefer\n convert_url.\n\n quality_check: \"basic\" (default) attaches local output-health checks in\n the `quality` field; \"ai\" additionally sends selected excerpts of the\n converted text to TypeSafe for narrow yes/no judgments. See convert_url.\n ",
"inputSchema": {
"type": "object",
"title": "convert_base64Arguments",
"required": [
"content_base64",
"filename"
],
"properties": {
"filename": {
"type": "string",
"title": "Filename"
},
"quality_check": {
"type": "string",
"title": "Quality Check",
"default": "basic"
},
"content_base64": {
"type": "string",
"title": "Content Base64"
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "convert_batch",
"description": "Convert 2-10 documents to Markdown in one call (Pro API key required).\n\n Each item is either {\"url\": ..., \"filename_hint\"?: ...} or\n {\"content_base64\": ..., \"filename\": ...}; types may be mixed. Items are\n converted in parallel and isolated: one bad URL or file never fails the\n batch — its slot returns ok:false with the error. The combined markdown\n shares one output budget, split evenly across items (per-item `truncated`\n flags apply). Set include_markdown=false to get only me",
"inputSchema": {
"type": "object",
"title": "convert_batchArguments",
"required": [
"items"
],
"properties": {
"items": {
"type": "array",
"items": {
"type": "object",
"additionalProperties": true
},
"title": "Items"
},
"quality_check": {
"type": "string",
"title": "Quality Check",
"default": "basic"
},
"include_markdown": {
"type": "boolean",
"title": "Include Markdown",
"default": true
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "convert_url",
"description": "Fetch a URL (web page, PDF, Office doc, and more) and convert it to Markdown.\n\n Works on publicly accessible URLs. Web pages are converted from their\n served HTML; JavaScript-rendered content may be incomplete. Optional\n filename_hint (e.g. \"report.pdf\") helps format detection when the URL\n has no file extension.\n\n The result carries a `quality` object (output-health check of the returned\n Markdown: status review / no_issues_detected / not_evaluated, coverage and\n a list of ",
"inputSchema": {
"type": "object",
"title": "convert_urlArguments",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "Url"
},
"filename_hint": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"title": "Filename Hint",
"default": null
},
"quality_check": {
"type": "string",
"title": "Quality Check",
"default": "basic"
}
}
},
"annotations": {
"readOnlyHint": true
}
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/ai.file2markdown/file2markdown"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/ai.file2markdown/file2markdown"}) over MCP.
convert_batch ~253 tokensconvert_url ~240 tokensconvert_base64 ~226 tokenslist_supported_formats ~87 tokensusage_status ~52 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fai.file2markdown%2Ffile2markdown?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fai.file2markdown%2Ffile2markdown?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.file2markdown%2Ffile2markdown.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.file2markdown%2Ffile2markdown.svg :target: https://glimind.com/server/mcp-registry%2Fai.file2markdown%2Ffile2markdown?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:0e3ccde77134eab0…, first seen 2026-10-17, included at leaf 2600 of 40,494. Version history · verify what your client received.
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Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-21 16:31 UTC, the File2markdown MCP server is up with a Glimind reliability score of 93/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks. It had 8 outages in 90 days, with a median recovery of 7 minutes.
File2markdown MCP server advertises 5 tools, including convert_base64, convert_batch, convert_url, list_supported_formats, usage_status.
Point your MCP client at this streamable-http endpoint: https://mcp.file2markdown.ai/mcp
Glimind scanned all 5 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.