Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Turn local text PDFs and HTML files into clean Markdown, tables kept. Runs on your computer.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"doc2md-lite": {
"command": "uvx",
"args": [
"doc2md-lite",
"mcp"
]
}
}
}Ejecuta esto en tu terminal
claude mcp add doc2md-lite -- uvx doc2md-lite mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"doc2md-lite": {
"command": "uvx",
"args": [
"doc2md-lite",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"doc2md-lite": {
"type": "stdio",
"command": "uvx",
"args": [
"doc2md-lite",
"mcp"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub tidybytetools, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (1.1.1) llegó al registro anteayer.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Intervals MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Remote MCP server for intervals.icu run data and analysis
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Free. No API key. Runs on your own computer, so your files stay with you.
A tool that turns a text PDF or a saved web page (.html) into clean Markdown. Tables stay real Markdown tables. Need Word files, chunks for AI search (RAG), whole folders or page ranges? The paid version does that: [doc2md on Gumroad](https://tidybyte.gumroad.com/l/frlkv)
Runs on your own computer, so your files are never uploaded anywhere. MIT license. Python 3.10 or newer, on Windows, Mac and Linux.
pip install doc2md-lite
Or use pipx, which keeps it in its own space:
pipx install doc2md-lite
Want the newest code from GitHub instead?
pip install git+https://github.com/tidybytetools/doc2md-lite
doc2md-lite report.pdf # writes report.md
doc2md-lite page.html -o page.md doc2md-lite report.pdf -o - # print the Markdown on screen doc2md-lite report.pdf --tables text # also find tables with no border lines
Example run:
Saved: report.md (4 headings, 1 tables)
What you get from a PDF:
# Spring Store Report
Our team checked every store in March. Most stores met the new goal...
| Region | Stores | Sales |
|---|---|---|
| North | 12 | $48,200 |
| South | 9 | $39,950 |
What it keeps: headings (found by font size and bold in PDFs), paragraphs, bullet and numbered lists, tables, and in HTML also bold, italic, links and code blocks. From web pages it drops scripts, styles, menus and footers.
When you run it in a terminal it ends with one short line about the paid version. --quiet turns it off, and it never shows when output is piped or redirected.
| lite (free) | doc2md | |
|---|---|---|
| Text PDF and HTML to Markdown | yes | yes |
| Tables kept as Markdown tables | yes | yes |
| Word (.docx), with bold, italic, links and lists | no | yes |
| RAG chunks (JSONL with page, heading path, size and overlap) | no | yes |
| Whole folders, sub-folders too | no | yes |
| Page ranges and password-protected PDFs | no | yes |
Pick what fits you. MarkItDown reads many more file types. pandoc is great for Word and HTML but does not read PDFs. pymupdf4llm is fast on PDFs but uses the AGPL license. doc2md-lite is small, MIT, keeps PDF tables as tables, and has an MCP server built in.
There is a small free MCP server built in. It gives your AI app one tool, convert_to_markdown. No API key or account is needed. It needs uv, which gives you the uvx command.
Run it by hand to check it starts (it waits quietly for an app to talk to it):
uvx --from doc2md-lite doc2md-lite-mcp
Shorter way to start the same server: uvx doc2md-lite mcp.
Pick your app below and copy the block. Restart the app after you save.
Open Settings > Developer > Edit Config. That opens claude_desktop_config.json. Add this:
{
"mcpServers": { "doc2md-lite": { "command": "uvx", "args": ["--from", "doc2md-lite", "doc2md-lite-mcp"] } } }
If Claude says it can't find uvx, run which uvx (Mac/Linux) or where uvx (Windows) and put that full path in "command".
Put the same block in ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):
{
"mcpServers": { "doc2md-lite": { "command": "uvx", "args": ["--from", "doc2md-lite", "doc2md-lite-mcp"] } } }
VS Code uses servers, not mcpServers. Put this in .vscode/mcp.json in your project, or run MCP: Open User Configuration to use it everywhere:
{
"servers": { "doc2md-lite": { "type": "stdio", "command": "uvx", "args": ["--from", "doc2md-lite", "doc2md-lite-mcp"] } } }
Or add it with one command:
code --add-mcp '{"name":"doc2md-lite","type":"stdio","command":"uvx","args":["--from","doc2md-lite","doc2md-lite-mcp"]}'
In the Cline panel, click the MCP Servers icon, open Configure, then click Configure MCP Servers. Add this inside mcpServers:
{
"mcpServers": { "doc2md-lite": { "command": "uvx", "args": ["--from", "doc2md-lite", "doc2md-lite-mcp"], "disabled": false, "autoApprove": [] } } }
One command:
codex mcp add doc2md-lite -- uvx --from doc2md-lite doc2md-lite-mcp
Or add this to ~/.codex/config.toml:
[mcp_servers.doc2md-lite]
command = "uvx" args = ["--from", "doc2md-lite", "doc2md-lite-mcp"]
This repo is also a Gemini CLI extension. Install it with:
gemini extensions install https://github.com/tidybytetools/doc2md-lite
Tool: convert_to_markdown(path, tables="lines", output_path=""). It returns the Markdown text. If you set output_path, it saves the file there and returns the path instead.
Turn the PDFs and web pages in your repo into Markdown on every push. Markdown is easy to search, easy to read in a pull request, and easy for AI tools to use.
name: Docs to Markdown
on: [push, pull_request] permissions: contents: read jobs: markdown: runs-on: ubuntu-latest steps:
Keep Markdown copies in sync. Do you commit a .md copy next to each PDF? Use check mode. The step fails, on the right file, when a copy is missing or out of date. It never writes anything in check mode.
- uses: tidybytetools/doc2md-lite@v1
with: files: docs/**/*.pdf check: "true"
To make the copies, run doc2md-lite your.pdf on your computer, or run the action without check and commit what it wrote. Use the same doc2md-lite version in both places so the output matches. The action installs fixed versions of pdfplumber and Beautiful Soup, so the same file always gives the same Markdown.
It runs the code in the same tag you pick. No API key, no account, and your files are not sent anywhere outside GitHub. It works on Linux, Windows and Mac runners. Scanned PDF pages (just a picture, no text) are skipped with a warning. Set fail-on-scanned: "true" to fail on them instead.
| Input | Default | What it does |
|---|---|---|
files | **/*.pdf | Which files to convert (.pdf, .html, .htm). Glob patterns, one per line or split by commas. |
exclude | node_modules/**, **/node_modules/**, vendor/** | Patterns to skip. |
output-dir | (empty) | Folder for the Markdown. It copies the folder layout. Empty saves each .md next to its file. |
tables | lines | PDF tables: lines (with borders), text (also lined up by spaces), or off. |
check | false | Only check. Fail if a Markdown copy is missing or out of date. |
fail-on-scanned | false | Fail when a PDF has scanned pages with no text. |
fail-if-no-files | true | Fail when no files match. |
artifact-name | (empty) | If set, upload the Markdown as an artifact with this name. Needs output-dir. |
python-version | (empty) | Python to set up. Empty uses the runner's Python (3.10 or newer). |
| Output | What it is |
|---|---|
files | How many PDF and HTML files matched. |
converted | How many were converted (or checked) with no errors. |
changed | How many Markdown files are new or changed. In check mode, how many are missing or out of date. |
scanned-files | How many PDFs have scanned pages. |
output-dir | The output folder. |
The run page also gets a short report with one row per file: where the Markdown went, and how many headings and tables it found.
tables (lines, text, off).{"ok": false, "error": ...} with --json). See also llms.txt.from doc2md_lite import convert
md, info = convert("report.pdf") # info: type, tables, headings, scanned_pages
pip install pdfplumber beautifulsoup4 reportlab "mcp<2"
python3 -m unittest discover tests
MIT. See LICENSE.