Math vs Markdownify MCP
A side-by-side look at the Math and Markdownify MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Math for data science tools work; choose Markdownify MCP for data science tools. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Math when
- You need dedicated capabilities in the Data Science Tools domain.
- You want tools like
calculate, convert_units, statistics.
Choose Markdownify MCP when
- You need dedicated capabilities in the Data Science Tools domain.
- Its auth model fits you: No auth required.
- You have the keys it needs:
MARKITDOWN_PATH, REPOMIX_PATH, MD_ALLOWED_PATHS, MD_SHARE_DIR. - You want tools like
youtube-to-markdown, pdf-to-markdown, bing-search-to-markdown.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Data Science Tools | Data Science Tools |
| Quality signal | 37/100 · Fair | 56/100 · Good |
| Install command | Not confirmed yet | Not confirmed yet |
| Transport | — | — |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | MARKITDOWN_PATHREPOMIX_PATHMD_ALLOWED_PATHSMD_SHARE_DIR |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 2,996 |
| Directory activity | 1 views 0 installs 0 upvotes | 4 views 0 installs 0 upvotes |
| Tools | 5 | 10 |
| Full listing | View Math | View Markdownify MCP |
Tools & capabilities
Math tools 5
calculateEvaluate math expressions safely (no `eval`). Supports arithmetic operators (`+`, `-`, `*`, `/`, `^`, `%`), parentheses, functions (`sqrt`, `abs`, `floor`, `ceil`, `round`, `log`, `ln`, `sin`, `cos`, `tan`, `min`, `max`, `pow`), constants (`pi`, `e`), and named variables.convert_unitsConvert between units across six categories:statisticsStatistical analysis on datasets: mean, median, mode, variance, standard deviation, min, max, range, percentile, correlation between two arrays, and a full summary mode.format_numberFormat numbers as: currency (`$1,234.56`), percentage, scientific notation, binary, octal, hexadecimal, significant figures, or with thousands separators.percentage_calcCommon percentage operations: X% of Y, what percent X is of Y, percentage change between two values, tip calculator, discount calculator, and markup calculator.
Markdownify MCP tools 10
youtube-to-markdownConvert YouTube videos to Markdownpdf-to-markdownConvert PDF files to Markdownbing-search-to-markdownConvert Bing search results to Markdownwebpage-to-markdownConvert web pages to Markdownimage-to-markdownConvert images to Markdown with metadataaudio-to-markdownConvert audio files to Markdown with transcriptiondocx-to-markdownConvert DOCX files to Markdownxlsx-to-markdownConvert XLSX files to Markdownpptx-to-markdownConvert PPTX files to Markdownget-markdown-fileRetrieve an existing Markdown file. File extension must end with: *.md, *.markdown.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Math
No confirmed install command for Math yet — follow the setup steps linked from its listing page rather than a guessed package name.
Markdownify MCP
No confirmed install command for Markdownify MCP yet — follow the setup steps linked from its listing page rather than a guessed package name.
Frequently asked questions
Math is categorized under Data Science Tools and uses an install path we have not confirmed yet. Markdownify MCP belongs to Data Science Tools and uses an install path we have not confirmed yet. Pick Math for data science tools work and Markdownify MCP for data science tools.
Neither server has a confirmed install command yet, so we don't publish a guessed config. Follow each project's own setup instructions, linked from its listing page.
Math has no declared pricing — check the project's own site. Markdownify MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add math and zcaceres-markdownify-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Math has a quality signal of 37/100 (Fair) with 1 views, 0 installs and 0 GitHub stars. Markdownify MCP has 56/100 (Good) with 4 views, 0 installs and 2,996 GitHub stars.