Helx MCP Server
Provides AI agents with 20 tools to create, read, edit, validate, convert, and render documents across formats like DOCX, XLSX, PPTX, PDF, Markdown, HTML, and CSV, including charts, diagrams, templates, and CSV data operations over stdio.
README
Helx
The universal artifact runtime for AI agents. One engine that reads, creates, edits, validates, diffs and renders the formats agents actually work with — DOCX, XLSX, PPTX, PDF, Markdown, HTML, CSV — plus charts, diagrams, templates, cross-format conversion and CSV data ops. Exposed three ways:
- CLI —
helxfor humans and shell scripts - MCP server — 20 tools over stdio for AI agents (Claude, Cursor, etc.)
- TypeScript SDK — a clean
Artifactfacade for your own code
one model, every file
create → read → edit → save → validate → diff → render → convert
Visual gallery
Every artifact below was created and edited by Helx itself, then previewed by Helx. Click any card to open the file.
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Charts generated with helx chart:

The gallery is produced by npx tsx scripts/make-gallery.ts — it opens every demo file through the SDK and rasterizes a styled SVG preview to PNG with @resvg/resvg-js.
Why Helx over OfficeCLI
OfficeCLI is a strong Word/Excel/PPT editor for AI agents. Helx goes further:
| Capability | Helx | OfficeCLI |
|---|---|---|
| Formats | DOCX, XLSX, PPTX, PDF, Markdown, HTML, CSV | Word, Excel, PPT only |
| Cross-format conversion | helx convert report.docx report.md — DOCX↔MD/HTML/PDF, XLSX↔CSV/HTML/MD, PPTX→MD/HTML/DOCX, PDF→MD/HTML/DOCX, CSV↔XLSX |
no |
| Charts & diagrams | helx chart (bar/line/pie/donut/area/scatter), helx diagram (mermaid-style flowcharts) |
no |
| Templates | {{var}}/{{#each}}/{{#if}} + in-place DOCX merge |
DOCX merge only |
| CSV data ops | analyze, filter, sort, group, aggregate, profile, dedupe, clean |
no |
| create, extract text, merge, split | no | |
| Renders for agent vision | DOCX/XLSX/CSV→HTML, PPTX→SVG, PDF→text, MD→HTML, charts→SVG | render → PNG |
| Interfaces | CLI + MCP (20 tools) + TypeScript SDK | CLI + MCP |
| Agent paths | uniform /p[2], /sheet[X]/cell[C3], css:.hero, ... across all formats |
per-format |
| Validation & diff | validate + semantic diff on every engine |
no |
Helx also ships stat (document statistics) and move (reorder paragraphs/rows/slides/shapes) across every interface.
Install
npm install -g helx # CLI + MCP server
# or
npm install helx # SDK for your own TypeScript/JavaScript project
Then helx --help or add the MCP server to your AI client:
{
"mcpServers": {
"helx": { "command": "helx", "args": ["mcp"] }
}
}
That's it — any AI model or agent (Claude, Cursor, Cline, LangChain, custom scripts) can create, read, edit and render real office and web documents.
Build from source
git clone https://github.com/Asno-dev/Helx.git
cd Helx
npm install
npm run build # tsc → dist/
npm test # 71 integration checks (tsx test/smoke.ts)
Node >= 18 (dynamic ESM import requires >= 12.20; verified on Node 22).
Quick start (CLI)
# Create a DOCX from a JSON spec (type inferred from the extension)
helx create report.docx '{"title":"Q3 Report","paragraphs":["Revenue grew 20% to $52k."],"tables":[{"headers":["Metric","Value"],"rows":[["ARR","4.2M"]]}]}'
# Inspect the structure as a path-addressed tree
helx inspect report.docx
# Read / write a single value via an agent path
helx get report.docx "/p[1]"
helx set report.docx "/table[0]/row[1]/cell[1]" "4.5M"
# Insert / remove / move, then validate and render to HTML for a visual check
helx insert report.docx "/p[2]" '{"text":"New paragraph","style":"Heading 2"}'
helx remove report.docx "/p[4]"
helx move report.docx "/p[2]" "/p[5]" --after
helx stat report.docx
helx validate report.docx
helx render report.docx --out report-preview.html
# Cross-format conversion (any direction, any engine)
helx convert report.docx report.md
helx convert report.md report.pdf
helx convert sales.xlsx sales.csv
helx convert deck.pptx deck.md
# Spreadsheets
helx create data.xlsx '{"sheet":"Revenue","rows":[["Quarter","Amount"],["Q1","10"]]}'
helx get data.xlsx "/sheet[Revenue]/cell[B2]"
helx analyze data.csv
helx filter data.csv '{"col":"score","op":"gt","value":80}'
# Decks
helx create deck.pptx '{"title":"Investor Deck","subtitle":"Q3 2026","bullets":["Market size: $10B"]}'
helx get deck.pptx "/slide[0]/shape[1]"
# PDFs (create via model; merge/split for structure)
helx create a.pdf '{"title":"Doc A","sections":[{"heading":"Intro","text":"Hello."}]}'
helx merge merged.pdf a.pdf b.pdf
helx split page1.pdf merged.pdf --pages 1
helx extract merged.pdf
# Charts, diagrams, templates
helx chart '{"type":"bar","labels":["Q1","Q2"],"values":[10,12]}' --out chart.svg
helx diagram 'graph TD; A[Start] --> B[End];' --out diagram.svg
helx template 'Hello {{name}}' '{"name":"Ada"}'
# Run the MCP server (for AI agents)
helx mcp
Agent paths
Every artifact exposes a stable, path-addressed tree so agents can read/write any value:
| Format | Example paths |
|---|---|
| DOCX | /p[2], /p[1]/text, /table[0]/row[1]/cell[0] |
| XLSX | /sheet[Revenue]/cell[C24], /sheet[0]/row[3] |
| PPTX | /slide[0]/shape[1], /slide[0]/shape[2]/text |
/page[0], /page[0]/text |
|
| Markdown | /heading[0], /p[2] |
| HTML | css:h1, css:.summary > p |
| CSV | /row[3]/cell[1] |
set, insert, remove and move mutate the model and save() round-trips it back to the file.
Cross-format conversion
convert walks a real content model — it is not string surgery:
| From \ To | DOCX | XLSX | PPTX | MD | HTML | CSV | |
|---|---|---|---|---|---|---|---|
| DOCX | — | ✔ | ✔ | ✔ | |||
| XLSX | — | ✔ | ✔ | ✔ | |||
| PPTX | ✔ | — | ✔ | ✔ | |||
| ✔ | — | ✔ | ✔ | ||||
| MD | ✔ | ✔ | — | ✔ | |||
| HTML | ✔ | ✔ | ✔ | — | |||
| CSV | ✔ | ✔ | ✔ | — |
const md = await Artifact.create('markdown', { root: { children: [] } });
await md.insert('/node', { type: 'heading', depth: 1, text: 'Hello' });
const docx = await md.convertTo('docx'); // real DOCX bytes
const html = await docx.convertTo('html');
MCP server
helx mcp runs a Model Context Protocol server over stdio. It exposes 20 tools:
create_artifact, inspect, get, set, insert, remove, move, convert, stat, render, validate, diff, merge_pdf, split_pdf, extract, analyze_csv, filter_csv, chart, diagram, template
Tools are filesystem-path based — the agent passes a file path and a JSON value, and the server reads, edits, saves, or renders the artifact. Register it in a client like Claude Desktop:
{
"mcpServers": {
"helx": { "command": "node", "args": ["/path/to/helx/dist/cli/index.js", "mcp"] }
}
}
TypeScript SDK
import { Artifact, chartToSvg, dataFilter, renderTemplate } from 'helx';
// Create, edit, save
const doc = await Artifact.create('docx', {
title: 'Report',
paragraphs: ['Revenue grew 20% to $52k.'],
tables: [{ headers: ['Metric', 'Value'], rows: [['ARR', '4.2M']] }],
});
await doc.set('/p[0]/text', 'Updated headline');
await doc.insert('/p[1]', { text: 'Inserted paragraph' });
const bytes = await doc.save();
await fs.writeFile('report.docx', bytes);
// Open any file, regardless of format
const art = await Artifact.open('data.xlsx', buffer);
console.log(await art.get('/sheet[Revenue]/cell[B2]'));
console.log(await art.inspect());
// Convert to another format, get stats, move elements
const md = await art.convertTo('markdown');
console.log(await art.stat());
await art.move('/sheet[Revenue]/row[3]', '/sheet[Revenue]/row[1]', 'before');
// Validation and diff
console.log(await art.validate()); // { status, issues[] }
console.log(await art.diff(other)); // DiffEntry[]
// Generator utilities
const svg = chartToSvg({ type: 'pie', labels: ['A', 'B'], values: [3, 7] });
const rows = dataFilter(data, { col: 'score', op: 'gt', value: 80 });
const out = renderTemplate('Hi {{name}}', { name: 'Ada' });
Also exported: convertArtifact, canConvert, mergePdfs, splitPdf, dataProfile, dataSort, dataAggregate, dataDedupe, dataClean, parseDiagram, diagramToSvg, renderDocxTemplate, detectType, engineForFile, registerEngine, engines.
Architecture
src/
core/
types.ts # shared model contracts (Engine, ArtifactModel, ValidationReport, ...)
base.ts # BaseEngine with typed dispatch for set/insert/remove/move
paths.ts # agent-path parser (/p[0], /sheet[X], css:..., /row[n]/cell[n])
utils.ts # LCS diff, diffText/diffSeqMerged, HTML document shell
convert.ts # cross-format converter (content-model based, 19 directions)
index.ts # engine registry + Artifact facade (create/open/save/...)
engines/
docx.ts # paragraphs, heading styles, tables
xlsx.ts # sheets, cells, formula read-back
pptx.ts # slides, shapes, text boxes
pdf.ts # create (pdfkit), extract text (pdfjs-dist), merge/split (pdf-lib)
markdown.ts # remark/rehype round-trip
html.ts # cheerio DOM editing + css: selectors
csv.ts # rows + data ops: profile/filter/sort/group/aggregate/clean/dedupe
chart.ts # SVG charts (bar, line, pie, donut, area, scatter, grouped bar, stacked bar)
diagram.ts # mermaid-style flowchart → SVG
template.ts # {{var}}/{{#each}}/{{#if}} + in-place DOCX placeholder merge
cli/index.ts # helx CLI (commander)
mcp/index.ts # MCP stdio server (20 tools)
sdk/index.ts # public package surface
scripts/make-gallery.ts # README gallery generator
examples/demo/ # all demo files created by Helx itself
Each file engine implements one contract: read(bytes) → model, write(model) → bytes, plus create(spec), get/set/insert/remove/move(path), inspect(), validate(), diff(other), render(). The Artifact facade keeps the original bytes so immutable formats (PDF) can still be round-tripped after edits to other formats.
Notes & design decisions
- PDF is immutable by model: text extraction is read-only (
pdfjs-dist; pdf-parse was dropped because its bundled pdf.js 2.x cannot parse pdfkit output). Structure operations usepdf-lib:mergePdfsandsplitPdf. - Renders to HTML for the agent's vision loop: DOCX/XLSX/CSV → HTML tables, PPTX → per-slide SVG, PDF → per-page text, Markdown → HTML, charts/diagrams → SVG.
helx chart,helx diagram,helx templateare generator utilities; they are not registered file engines.- Conversion is model-based: converters read each format's real model (
DocxModel,XlsxModel, ...) and produce another engine's spec, soconvertpreserves structure rather than pasting raw text.
License
Apache-2.0 — see LICENSE.
Contributing
Bug reports, feature requests and pull requests are welcome. See CONTRIBUTING.md for the dev workflow, conventions and Code of Conduct.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.








