Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Convert DOCX/XLSX to Markdown — native chart-data extraction, optional VLM for figures
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Pick the AI app you use, then copy the settings.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"refigure": {
"command": "uvx",
"args": [
"refigure"
]
}
}
}Run this in your terminal
claude mcp add refigure -- uvx refigurePaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"refigure": {
"command": "uvx",
"args": [
"refigure"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"refigure": {
"type": "stdio",
"command": "uvx",
"args": [
"refigure"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account HelgDemidov, which owns the repo
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.3.5) reached the registry 3 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Date Math
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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.
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Converters where figures survive.
DOCX/XLSX → Markdown that keeps charts and infographics machine-readable instead of losing them to OCR or a vision model: native OOXML chart data (numCache/strCache) recovers exact numbers with zero GPU calls, zero VLM calls, zero lost precision — by default, not as a fallback.
That default path is also why the base install (pip install "refigure[docx,xlsx]") is ~500x lighter than PyTorch-based alternatives (5.6MB vs. multi-GB) — the core conversion needs no ML model at all. That number is about the core architecture, not every distribution format: the Docker image trades it back deliberately, bundling VLM providers + LibreOffice for a turnkey composite-figure path (see Docker below).
VLM interpretation itself is there for the rare figure with no native data at all (a dashboard screenshot) — never required just to get real numbers out of a chart, on any distribution format.
Ships as a library, CLI, MCP server, and a one-click Claude Desktop bundle — every surface returns the same native-fidelity output, not a degraded summary for agents.
numCache/strCache directly; no rasterize/OCR/VLM step for charts, real numbers every time.[vlm] extra, --vlm/Config(use_vlm=True)) — cloud description + a real rendered mermaid diagram (26 supported diagram types — flowcharts, pie/xy charts, sequence/state/ER diagrams, Gantt/timeline/sankey/treemap and more, see Status below) on top of the zero-loss floor, for figures with no native chart data at all (e.g. a dashboard screenshot). Provider-agnostic — OpenRouter by default, or direct OpenAI/Ollama/vLLM/LM Studio/Anthropic via --vlm-provider ([vlm-direct] extra). --strict upgrades one specific failure (the system soffice/LibreOffice binary missing) from a graceful skip to a hard error; every other VLM failure still degrades.ConversionResult (markdown + warnings + chart/group counts + vlm_used), not a bare string.refigure console command, stdin/stdout-first, native batch mode, typed exit codes (see below).refigure-mcp console command ([mcp] extra), stdio or Streamable HTTP, tools/resources/prompts, batch conversion with per-file isolation (see below).ghcr.io/helgdemidov/refigure, both console commands on PATH, soffice/LibreOffice baked in — the VLM composite-figure path works turnkey, no manual LibreOffice install. Multi-arch — linux/amd64 + linux/arm64, native Apple Silicon (see below).docx+xlsx only, see below).Optional VLM interpretation — for a figure with no native chart data at all (a screenshot, not an OOXML chart part) AND no matching mermaid construct either (a dense radial sunburst — nothing in the 4 original mermaid types could represent it), --vlm both recovers the real content and produces a genuinely renderable diagram, not just recovered text:
Native chart-data extraction — real OOXML numCache, not a screenshot, not OCR:
Same extraction, from DOCX — Word embeds native charts too, not just Excel; refigure reads the same cached OOXML data either way:
Composite figures — positioned, zero-loss, even when the figure itself can't be rendered (no incumbent does this — see Docling issue #1287, open >1 year):
pip install "refigure[docx,xlsx]"
refigure report.docx # markdown to stdout
from refigure.docx import convert
result = convert("report.docx") print(result.markdown) print(f"{result.charts_found} charts, {result.groups_found} composite figures")
Or without a permanent install, via uv/uvx:
uvx --from "refigure[docx,xlsx]" refigure report.docx
Optional VLM interpretation, for a composite figure the chart engine can't reconstruct on its own (see Features above):
pip install "refigure[docx,vlm]"
export OPENROUTER_API_KEY=... # or --vlm-api-key-file/--vlm-provider refigure report.docx --vlm # needs the system soffice/LibreOffice binary too
One converter, four ways to run it — pick whichever fits your pipeline. Click a heading to expand it.
CLI — a console command, stdin/stdout-first, native batch mode
refigure installs a console command — a thin wrapper over the same convert() used programmatically, no separate logic:
refigure report.docx # markdown to stdout
refigure report.docx -o report.md # markdown to a file cat report.docx | refigure --format docx # stdin, format hint required refigure reports/ -o out/ # batch: directory, walked recursively refigure a.docx b.xlsx -o out/ # batch: 2+ explicit sources
Batch mode (2+ sources, or a single directory) requires -o DIR, keeps going past a failed source by default (--fail-fast aborts on the first one instead), and always prints a summary (N/M converted, K failed) to stderr. --json emits the full result — markdown plus chart/group counts and warnings — instead of plain markdown. -v/-q control verbosity; --strict is forwarded to the same Config.strict the Python API uses.
Exit codes:
| Code | Meaning |
|---|---|
| 0 | success |
| 1 | batch mode: 1+ sources failed (keep-going default) |
| 2 | usage error (bad arguments/flags) |
| 3 | input isn't a valid document of its format |
| 4 | input isn't a valid/safe archive |
| 5 | the format's extra ([docx]/[xlsx]) isn't installed |
| 6 | unexpected internal error |
MCP server — for agents/IDEs that speak the protocol directly
refigure-mcp — the same converters as an MCP server, for agents/IDEs that speak the protocol directly instead of shelling out to a CLI or importing the library. Listed on the official MCP Registry as io.github.HelgDemidov/refigure:
pip install "refigure[mcp,docx,xlsx]"
refigure-mcp # stdio — the MCP client launches it
{
"mcpServers": { "refigure": { "command": "refigure-mcp" } } }
Or point the client at uvx instead, with no permanent install at all:
{
"mcpServers": { "refigure": { "command": "uvx", "args": ["--from", "refigure[mcp,docx,xlsx,vlm-direct]", "refigure-mcp"] } } }
refigure[full] is a shortcut for refigure[mcp,docx,xlsx,vlm-direct] — every tool, both formats, every VLM provider, one extras string.
Three tools — convert_docx, convert_xlsx, and convert_batch (multiple files in one call: one bad file reports its own error without aborting the rest) — each registered only if its format extra is actually installed. use_vlm/--vlm-provider and friends work the same as the CLI. A result too large to inline is stored and handed back as a refigure://conversion/{id} resource instead of inflating the tool response. Two prompts (ingest_for_rag, explain_conversion_warnings) help a client pick the right tool/VLM settings for the job.
Streamable HTTP is opt-in, for a shared/remote deployment — bearer-token auth is required, not optional:
echo "sk-... = alice" > tokens.txt
refigure-mcp --transport http --mcp-auth-token-file tokens.txt
Per-caller rate-limiting (protects the operator's own spend from a leaked/runaway token) applies automatically over HTTP, together with a fairness soft-cap once 2+ callers are configured; refigure-mcp --help covers every tuning flag (concurrency, timeouts, resource-store limits, batch size, VLM ceiling).
Docker — one image, CLI and MCP server both on PATH, soffice baked in
One image, both surfaces — refigure and refigure-mcp are already on PATH, no separate CLI/MCP builds to choose between. The one thing this format buys over pip/uvx that neither can: the system soffice/ LibreOffice binary the VLM composite-figure path needs is baked in, not a manual install. Multi-arch manifest (linux/amd64 + linux/arm64) — docker pull resolves the right layer automatically, including on Apple Silicon.
docker pull ghcr.io/helgdemidov/refigure:latest
Pin an exact version instead of :latest for reproducibility — e.g. :0.3.4 — see the package page for
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