Unmarkdown MCP Server
Enables conversion of Markdown content into styled HTML specifically optimized for seamless pasting into Google Docs with preserved formatting.
Provides tools to convert Markdown into various styled document formats, manage a document library, and publish Markdown content to shareable public URLs.
Converts Markdown text into formatting optimized for Slack's messaging interface, including support for bold text, lists, and code blocks.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Unmarkdown MCP ServerConvert these meeting notes for Google Docs using the Executive template"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Unmarkdown MCP Server
A Model Context Protocol (MCP) server that connects AI assistants to the Unmarkdown API. Convert markdown to beautifully formatted documents, manage your document library, and publish pages to the web, all from inside Claude, Cursor, VS Code, or any MCP-compatible client.
Also available as: Chrome Extension | Web App | REST API
Features
Convert markdown to styled HTML for 8 destinations: Google Docs, Word, Slack, OneNote, Email, Plain Text, generic HTML, and raw HTML
62 visual templates with light and dark themes (Swiss, Executive, Terminal, GitHub, and more)
Create, read, update documents in your Unmarkdown library, organized into folders
Publish documents to shareable public URLs at
unmarkdown.com/d/your-slugTrack API usage and quota for the current billing period
Related MCP server: Gen-PDF MCP Server
Installation
Claude Desktop / Claude for macOS
Add this to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"unmarkdown": {
"command": "npx",
"args": ["-y", "@un-markdown/mcp-server"],
"env": {
"UNMARKDOWN_API_KEY": "um_your_api_key_here"
}
}
}
}Cursor
Add to your Cursor MCP settings (.cursor/mcp.json):
{
"mcpServers": {
"unmarkdown": {
"command": "npx",
"args": ["-y", "@un-markdown/mcp-server"],
"env": {
"UNMARKDOWN_API_KEY": "um_your_api_key_here"
}
}
}
}VS Code
Add to your VS Code MCP settings (.vscode/mcp.json):
{
"servers": {
"unmarkdown": {
"command": "npx",
"args": ["-y", "@un-markdown/mcp-server"],
"env": {
"UNMARKDOWN_API_KEY": "um_your_api_key_here"
}
}
}
}Global Installation
If you prefer to install globally instead of using npx:
npm install -g @un-markdown/mcp-serverThen use unmarkdown-mcp as the command instead of npx:
{
"mcpServers": {
"unmarkdown": {
"command": "unmarkdown-mcp",
"env": {
"UNMARKDOWN_API_KEY": "um_your_api_key_here"
}
}
}
}Configuration
Required
Variable | Description |
| Your Unmarkdown API key (starts with |
Optional
Variable | Description | Default |
| Custom API base URL |
|
Usage Examples
Example 1: Convert a meeting notes draft for Google Docs
"Take this markdown and convert it for Google Docs using the Executive template:
# Q1 Planning Meeting ## Attendees - Sarah Chen (Product) - Mike Torres (Engineering) - Lisa Park (Design) ## Action Items - [ ] Finalize roadmap by Friday - [ ] Schedule design review for new dashboard - [ ] Update stakeholder presentation ```"
Claude will use the convert_markdown tool with destination: "google-docs" and template_id: "executive", returning styled HTML ready to paste into Google Docs with proper headings, fonts, and colors.
Example 2: Create a document in a folder
"Create a new document called 'API Changelog - February 2026' in my Release Notes folder with this content, then publish it."
Claude will:
Call
create_documentwith the title, markdown content, andfolder: "Release Notes"Call
publish_documentwith the returned document ID
The document is created directly in the specified folder, and you get back a live URL like https://unmarkdown.com/d/api-changelog-february-2026.
Example 3: Update and move a document
"Move the Q4 report to the Archive folder and update its title."
Claude will:
Call
list_documentsto find the documentCall
update_documentwith the new title andfolder: "Archive"
Example 4: Format markdown for Slack
"Convert this project update to Slack format so it looks good when I paste it in our team channel."
Claude uses convert_markdown with destination: "slack", producing output optimized for Slack's rendering (bold, lists, code blocks, emoji support).
Example 5: Check API usage
"How many API calls have I used this month?"
Claude calls get_usage and returns your current usage count, monthly limit, and billing period.
Tools Reference
Tool | Description | Read-only | Idempotent |
| Convert markdown to styled HTML for any of 8 destinations | Yes | Yes |
| Create a new document in your library (optionally in a folder) | No | No |
| List saved documents with pagination (optionally filter by folder) | Yes | Yes |
| Fetch a document by ID with full content | Yes | Yes |
| Modify a document's title, content, template, metadata, or folder | No | Yes |
| Publish a document to a shareable public URL | No | Yes |
| Check API quota for the current billing month | Yes | Yes |
Destinations
The convert_markdown tool supports these output formats:
Destination | Description |
| Optimized for pasting into Google Docs |
| Formatted for Microsoft Word |
| Slack-compatible formatting |
| Microsoft OneNote compatible |
| Email client friendly HTML |
| Plain text with ASCII formatting |
| General-purpose styled HTML |
| Raw HTML output |
Templates
Pass any template ID to convert_markdown, create_document, or update_document. Popular templates include:
Template | Category |
| Free (default) |
| Free |
| Free |
| Free |
| Business (Pro) |
| Business (Pro) |
| Business (Pro) |
Browse all 62 templates at unmarkdown.com/templates.
API Limits
Plan | Monthly API Calls | Rate Limit |
Free | 1,000 | 10 req/sec |
Pro ($8/mo annual) | 10,000 | 30 req/sec |
Overage: $1.00 per 1,000 additional calls (Pro only). Free plan has a hard limit.
Privacy
This MCP server sends your markdown content and document data to the Unmarkdown API (api.unmarkdown.com) for processing. No data is stored locally by the MCP server itself. All data handling is governed by the Unmarkdown Privacy Policy.
Specifically:
Markdown content sent via
convert_markdownis processed and returned immediately. It is not stored on Unmarkdown servers.Documents created via
create_documentorupdate_documentare stored in your Unmarkdown account and can be deleted at any time.API keys authenticate requests and are never logged or shared.
For the full privacy policy, visit unmarkdown.com/privacy.
Support
Documentation: docs.unmarkdown.com
API Reference: docs.unmarkdown.com/api/overview
Contact: unmarkdown.com/contact
Development
# Clone the repo
git clone https://github.com/UnMarkdown/mcp-server.git
cd mcp-server
# Install dependencies
npm install
# Build
npm run build
# Run locally (requires API key)
UNMARKDOWN_API_KEY=um_your_key node build/index.jsSee Also
Chrome Extension — Detect and convert markdown on any AI chat page (ChatGPT, Claude, Gemini)
Web App — Full editor with 62 templates, publishing, AI actions, and analytics
REST API — Programmatic access to all conversion and document features
Smithery — Install via the Smithery MCP registry
npm —
@un-markdown/mcp-serveron npm
License
MIT. See LICENSE for details.
Available Tools
7 toolsconvert_markdownARead-onlyIdempotentInspect
Convert markdown to destination-specific HTML and plain text. Returns JSON with 'html' and 'plain_text' fields. For Slack, present the plain_text to the user. For Google Docs/Word/OneNote, direct users to unmarkdown.com to use the copy button (raw HTML cannot be pasted into these apps). Does not render Chart.js, Mermaid, Graphviz, or KaTeX; use publish_document for documents with diagrams or math.
| Name | Required | Description | Default |
|---|---|---|---|
| markdown | Yes | Markdown content to convert | |
| destination | No | Target format (default: "generic") | |
| template_id | No | Visual template ID (default: "swiss") | |
| theme_mode | No | Color theme (default: "light") |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, idempotent, non-destructive; description adds key behavioral details: output format (JSON with html/plain_text), paste limitations for certain apps, and unsupported rendering features.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Very concise, well-structured: purpose, output format, destination-specific instructions, limitations, and alternative. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple (4 params, no output schema) and the description covers output, usage constraints, and alternatives, making it fully actionable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 100% schema description coverage, the schema already explains all parameters adequately; the description does not add significant new meaning beyond what schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it converts markdown to destination-specific HTML and plain text, and explicitly distinguishes from sibling publish_document by noting limitations (no diagram/math rendering).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit instructions for different destinations (e.g., Slack: use plain_text; Google Docs/Word/OneNote: use unmarkdown.com) and directly says when to use publish_document instead.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_documentBInspect
Create a new markdown document in Unmarkdown
| Name | Required | Description | Default |
|---|---|---|---|
| title | No | Document title | |
| content | No | Markdown content (default: empty) | |
| folder | No | Folder name (case-insensitive) or folder ID to place the document in | |
| template_id | No | Visual template ID (default: "swiss") | |
| theme_mode | No | Color theme (default: "light") |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true. The description adds little beyond stating creation. It does not disclose return behavior, error handling, or side effects, which is minimal given no output schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence. It is front-loaded and easy to parse, but it is somewhat terse and could provide more utility without sacrificing brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and 5 parameters fully described in the schema, the description lacks completeness about return values, success conditions, or potential errors. It does not sufficiently compensate for the absence of output schema information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all parameters. The description does not add extra meaning beyond stating the tool creates a document, so baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (create), resource (markdown document), and context (Unmarkdown). It distinguishes from sibling tools like update_document, get_document, and convert_markdown by specifying creation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool (to create a new document) but provides no explicit guidance on alternatives or when not to use it. Given sibling tools exist (e.g., update_document), this is a gap.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_documentARead-onlyIdempotentInspect
Get a document by ID, including its full markdown content
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Document UUID |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, etc. Description adds that the response includes full markdown content, but no further behavioral details. Adequate given annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One concise sentence, front-loaded with key information. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only tool with one parameter and no output schema, the description is sufficient: it states the operation, parameter, and return content.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema has 100% coverage with a clear description for the single 'id' parameter. Description does not add extra semantics beyond stating retrieval by ID.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states the action (Get), resource (document), method (by ID), and content included (full markdown). Distinguishes from sibling tools like list_documents and update_document.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use vs alternatives like list_documents for searching or create_document for new ones. However, for a simple retrieval tool, usage is implicitly clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_usageARead-onlyIdempotentInspect
Check your API usage quota for the current billing month
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate read-only, non-destructive, idempotent; description adds temporal context 'current billing month', but no details on response or potential errors.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence, 10 words, front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Simple tool with no parameters; annotations cover safety; description adds usage period; lacks response format but adequate for a quota check.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters in schema; description not needed for parameter semantics, baseline 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description states specific verb 'check' and resource 'API usage quota for the current billing month', clearly distinguishing it from sibling document tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit when-to-use or when-not-to-use guidance, but context with siblings makes purpose clear; could be improved with prerequisites or alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list_documentsARead-onlyIdempotentInspect
List your saved documents with pagination. Optionally filter by folder name or ID.
| Name | Required | Description | Default |
|---|---|---|---|
| folder | No | Optional. Filter by folder name (case-insensitive) or folder ID. | |
| limit | No | Max results per page (default: 20, max: 100) | |
| cursor | No | Pagination cursor from a previous response |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark it as read-only, idempotent, and non-destructive. The description adds pagination and filtering behavior, which goes beyond annotations, but omits details like rate limits or error handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence that efficiently conveys the tool's main purpose and optional features with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a list operation with 3 optional parameters and no output schema, the description covers pagination and filtering adequately, leaving no critical gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema provides 100% coverage of parameter descriptions, so the description adds little beyond stating optional filtering. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool lists saved documents with pagination and optional filtering. It distinguishes from siblings like 'get_document' (single document) and 'create_document'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for listing with optional filtering, but no explicit guidance on when not to use or alternatives (e.g., search). Usage is clear from context but not fully explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
publish_documentAIdempotentInspect
Publish a document to a shareable web page. Default visibility is 'link' (unlisted). Published pages render all content including Chart.js charts, Mermaid diagrams, Graphviz graphs, and KaTeX math. Email-based sharing is not available here; direct users to unmarkdown.com for that.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Document UUID | |
| slug | No | Custom URL slug (auto-generated if omitted) | |
| description | No | SEO description for published page | |
| visibility | No | "public" or "link" (default, unlisted) | |
| page_width | No | Page width for published view |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate non-destructive, idempotent, open-world. The description adds that published pages render specific chart/diagram content and default visibility, which is beyond annotations and helpful. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, no fluff, front-loaded with verb and resource. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given annotations and schema, the description covers purpose, defaults, rendering, and an exclusion. No output schema, but the description implies what to expect (published page with content). Could mention the response, but overall complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema has 100% coverage for parameters; description adds minimal new info (e.g., default visibility already in schema, rendering details not parameter-specific). Does not enhance parameter meaning beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool publishes a document to a shareable web page, specifies default visibility, and lists supported content types, distinguishing it from siblings like create_document or update_document.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It provides context on when to use (publishing to web) and explicitly says email-based sharing is not available here, directing users elsewhere. However, it does not explicitly contrast with all siblings or state prerequisites.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update_documentCIdempotentInspect
Update a document's content or metadata
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes | Document UUID | |
| title | No | New title | |
| content | No | New markdown content | |
| folder | No | Move to folder by name (case-insensitive) or folder ID. Set to null to move to Unfiled. | |
| template_id | No | New template ID | |
| theme_mode | No | New color theme | |
| description | No | Document description (null to clear) | |
| page_width | No | Page width for published view |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=true, openWorldHint=true. The description adds no behavioral context beyond what the annotations imply (e.g., no mention of partial updates, idempotency, or what happens with missing fields).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single concise sentence that is front-loaded. Could be slightly more informative without sacrificing conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, and the description does not mention return values or behavior for the 8 parameters. Given the tool's complexity and the lack of return value documentation, the description is insufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description summarizes 'content or metadata' but does not add meaning beyond the schema's parameter descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (update) and the resource (document), plus specifies scope (content or metadata). However, it does not distinguish from sibling tools like create_document or publish_document.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool vs. alternatives such as create_document or publish_document. The description lacks usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Each tool targets a distinct operation: conversion, document CRUD (except delete), publishing, and usage. No overlap in purposes.
All tools follow a consistent verb_noun pattern (e.g., convert_markdown, create_document, get_usage). No mixing of styles.
7 tools is well-scoped for a document management and conversion service, covering essential operations without excess or deficiency.
Covers create, read, update, list, conversion, and publishing, but lacks a delete_document tool, which is a notable gap in basic CRUD operations.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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