Mindlm Mcp

mindlm-mcp

Turn text, web pages and PDFs into interactive mind maps — an MCP server and a command-line tool, with no API key required.

[mindlm-mcp turning an outline into a mind map]

npx -y mindlm-mcp demo

That renders a built-in example and opens it. One HTML file, no build step, no account, no key.

• Three inputs. Plain text or Markdown, an http(s) page, or a local PDF.
• Two outputs. A Markdown outline you can edit, and a standalone HTML mind map (markmap) that works offline — every script is inlined.
• Zero keys. Over MCP the server hands your own model a draft plus the cleaned source text and lets it write the final outline. Set your own API key only if you want the server to call a model itself. See How the outline gets written.

Docs and a live demo: https://qingchejun.github.io/mindlm-io/ · Source: https://github.com/qingchejun/mindlm-io

Quick start

Every client runs the same command — npx -y mindlm-mcp serve — and needs no environment variables. MINDMAP_OUTPUT_DIR below is optional; it just decides where exported files land.

Claude Code

claude mcp add mindlm -- npx -y mindlm-mcp serve

Scope it to one project with --scope project, and pass environment variables with -e:

claude mcp add mindlm -e MINDMAP_OUTPUT_DIR=~/Documents/mindmaps -- npx -y mindlm-mcp serve

Check it with claude mcp list, or /mcp inside a session.

Claude Desktop

Add this to claude_desktop_config.json, then restart the app:

{  "mcpServers": {    "mindlm": {      "command": "npx",      "args": ["-y", "mindlm-mcp", "serve"],      "env": {        "MINDMAP_OUTPUT_DIR": "~/Documents/mindmaps"      }    }  }}

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

Cursor

The same block goes in ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):

{  "mcpServers": {    "mindlm": {      "command": "npx",      "args": ["-y", "mindlm-mcp", "serve"]    }  }}

Ready-to-copy versions of all three live in examples/configs/.

Then ask for a mind map in plain language — "make a mind map of this PDF", "map out https://example.com/article" — and the client picks the right tool.

Tools

Four tools, always advertised in this order. The three *_to_mindmap tools return a Markdown outline; export_mindmap turns an outline into an HTML file. Every result carries both a readable text block and structuredContent.

text_to_mindmap

Outline text or Markdown you already have — a draft, notes, a transcript, a pasted chapter.

Input:

{  "text": "# Tides\n\nSpring tides are the largest of the month.\n\n## Neap\n\nNeap tides are the smallest.\n"}

structuredContent (default auto mode with no API key, i.e. client mode):

{  "title": "Tides",  "markdown": "# Tides\n\n## Spring tides are the largest of the month.\n\n### Neap\n- Neap tides are the smallest.\n",  "mode": "client",  "stats": { "inputChars": 79, "nodes": 4, "depth": 4, "truncated": false },  "sourceText": "# Tides\n\nSpring tides are the largest of the month.\n\n## Neap\n\nNeap tides are the smallest.",  "instructions": "This is a DRAFT outline produced by a rule-based algorithm. …"}

With "mode": "heuristic" (or when an API key makes it "llm") the result is the same minus sourceText and instructions — the outline is final and ready to export.

url_to_mindmap

Fetch a page and outline its main content. Article text is extracted with Readability; navigation, footers and boilerplate are dropped. Page furniture goes too: reference markers ([1]), "[edit]" links, notes above the article, image captions, navigation boxes, and the trailing See also / References / Notes / Further reading / External links / Bibliography sections, which are link lists rather than content. A URL that serves a PDF is handed to the PDF pipeline automatically.

Input:

{ "url": "https://example.com/tide-tables", "mode": "heuristic" }

structuredContent adds a source block describing where the text came from:

{  "title": "Tide tables",  "markdown": "# Tide tables\n\n## Spring tides …\n\n## Neap tides …\n",  "mode": "heuristic",  "stats": { "inputChars": 1042, "nodes": 9, "depth": 3, "truncated": false },  "source": {    "url": "https://example.com/tide-tables",    "finalUrl": "https://example.com/tide-tables",    "title": "Tide tables",    "siteName": "Example",    "fetchedAt": "2026-09-27T10:21:04.512Z",    "contentType": "text/html"  }}

pdf_to_mindmap

Read a local PDF, using its bookmarks as the skeleton when it has them. A PDF stores positioned lines rather than paragraphs, so the soft-wrapped lines of one paragraph are rejoined before sentences are split — otherwise a browser's "print to PDF" would yield nodes like "releases oxygen." instead of whole sentences.

Input:

{ "path": "~/papers/attention.pdf", "pages": "1-12", "mode": "heuristic" }

structuredContent:

{  "title": "mindlm-mcp PDF fixture",  "markdown": "# mindlm-mcp PDF fixture\n\n## 1. Introduction\n\n### Mind maps turn a wall of prose into something you can scan…\n",  "mode": "heuristic",  "stats": { "inputChars": 769, "nodes": 12, "depth": 4, "truncated": false },  "source": { "path": "/home/you/papers/attention.pdf", "totalPages": 3, "hasOutline": true }}

export_mindmap

Render a Markdown outline into a standalone HTML mind map. Call this after you (or your model) have written the outline. It will not overwrite an existing file unless you ask.

Input:

{  "markdown": "# Tides\n\n## Spring\n\n- Sun and moon in line\n\n## Neap\n\n- At right angles\n"}

structuredContent:

{  "path": "/home/you/mindmaps/tides-20260927-183322.html",  "fileUrl": "file:///home/you/mindmaps/tides-20260927-183322.html",  "bytes": 344349,  "nodes": 5,  "offline": true}

Prompt

The server also exposes one prompt, mindmap_outline, which returns the outline rules (optionally in a given language) followed by an instruction to call export_mindmap.

Command line

The same pipeline without a client. With no arguments and no terminal attached, mindlm-mcp starts the MCP server — which is what an MCP client wants.

mindlm-mcp demo                                   # render a built-in example and open itmindlm-mcp text notes.md -o notes.html            # a file, or "-" to read stdinmindlm-mcp url https://example.com/article --openmindlm-mcp pdf paper.pdf --pages 1-20mindlm-mcp export outline.md -o map.html          # an outline you wrote yourselfmindlm-mcp serve                                  # MCP server on stdiomindlm-mcp doctor                                 # runtime, LLM config, output directory

Options on the conversion commands:

Results a script might consume (a file path, an outline) go to stdout; progress and diagnostics go to stderr. Exit codes: 0 ok, 1 usage error, 2 input error, 3 LLM error.

There is also a small programmatic API — textToOutline, urlToOutline, pdfToOutline, renderMindmapHtml, exportMindmap — exported from the package root.

How the outline gets written

Deciding what belongs in the tree is the hard part, and there are three ways to do it. You never have to supply a key for any of this to work.

mode: "auto" (the default everywhere) picks the row that applies. You can always force one with mode over MCP or --mode on the CLI. Run mindlm-mcp doctor to see which one auto resolves to right now.

There is no hosted service behind any of this: no telemetry, no update check, no call home.

Configuration

Every variable is optional. Copy .env.example to .env and pass it explicitly with --env-file .env — nothing is loaded automatically — or set the variables in your MCP client's env block.

The exported HTML

One file, openable with a double click. By default every script and stylesheet — d3, markmap-view, the toolbar — is inlined, so the map keeps working with no network, on a locked-down machine, or five years from now when a CDN has moved on. That costs about 340 KB per file; pass offline: false (--no-offline) if you would rather link the CDN copies.

The KaTeX and highlight.js markmap plugins are deliberately disabled: both pull stylesheets from a CDN, which would quietly break an "offline" export. Raw HTML in the outline is not rendered (markdown-it runs with html: false), so text extracted from a hostile page cannot inject script into the file you open.

Exports carry no attribution by default. --branding / branding: true adds one small footer line if you want it.

Limitations

• JavaScript-only pages. url_to_mindmap reads the HTML the server sends. A single-page app that renders its content client-side will come back empty or nearly so — copy the text and use text_to_mindmap instead. There is no headless browser.
• Scanned PDFs. A PDF needs a real text layer. Scans and image-only exports are rejected with a clear error; there is no OCR.
• Long documents are truncated, not chunked, at MINDMAP_MAX_INPUT_CHARS. Use pages on a long PDF, or map it a section at a time.
• The heuristic is a draft. It ranks sentences by position and term frequency. It is stable and fast, and it will sometimes pick the wrong sentence. That is exactly why client mode exists.
• Paywalls, logins and robots. The fetcher sends no cookies and does not log in.

Security

• SSRF guard. url_to_mindmap resolves the host first and refuses loopback, private, link-local (including the 169.254.169.254 cloud metadata address), CGNAT and multicast ranges unless you set MINDMAP_ALLOW_PRIVATE_HOSTS=true. Only http: and https: are accepted.
• Limits. 5 MB per fetched response, a 15 s timeout, at most 5 redirects, 50 MB / 300 pages per PDF, and a character cap on every input.
• No telemetry, no update check, no hosted backend. The only network calls are the URL you ask for and — if you configured a key — your own LLM endpoint.
• No raw HTML in exports, and inlined JSON has </script> escaped.
• Reporting a vulnerability, and the known DNS-rebinding caveat: SECURITY.md.

Launch materials and directory listings

This section is a placeholder owned by the outreach lead. Announcement copy, awesome-list entries and MCP directory submissions (mcp.so, Glama, Smithery, PulseMCP, the official MCP Registry) are tracked in docs/launch.md and are intentionally empty here.

Contributing

Issues and pull requests are welcome — see CONTRIBUTING.md. Requires Node ≥ 22.12.

npm ci && npm run lint && npm run typecheck && npm test && npm run build

Want a full editor?

mindlm-mcp is deliberately small: outline in, one HTML file out. If you want to keep editing the map afterwards — drag nodes around, restyle branches, collaborate, keep a library of maps — that is what mindlm.io is for. This package works completely on its own and never talks to it.

License

MIT © 2026 青澈君