hedgedoc-mcp
MCP server for interacting with self-hosted HedgeDoc 1.x, enabling AI agents to create, read, update, and manage notes via session-cookie authentication with automatic re-login.
README
hedgedoc-mcp
An MCP server that lets AI agents — Claude Code, Codex, Hermes, or any MCP-compatible client — read and write notes on a self-hosted HedgeDoc 1.x instance.
HedgeDoc 1.x has no API token system, so this server handles the real auth model (session cookies from email/password login) and exposes it as a clean, agent-friendly toolset.
Why this exists
HedgeDoc is a great self-hosted, open-source, collaborative markdown editor. But if you want an AI agent to write notes to it programmatically, you hit a wall immediately: HedgeDoc 1.x has no API tokens. Every write endpoint (POST /new, etc.) requires an authenticated browser-style session, tracked via an Express connect.sid cookie.
This project does the unglamorous work of handling that correctly — login, cookie storage, automatic re-authentication on expiry — and wraps it in an MCP server so any agent can just call hedgedoc_create_note and not think about any of it.
Features
- 🔐 Handles HedgeDoc 1.x's real auth model (session cookies, not tokens)
- 🔁 Auto re-login on session expiry — no manual cookie refresh needed
- 🛠️ 6 MCP tools: create, read, update, info, whoami, history
- 🐍 Standalone Python client (
hedgedoc_mcp.client.HedgeDocClient) usable outside MCP too - ✅ Fully tested — mocked HTTP, no live server required to run the test suite
- 📦 Works with any MCP client: Claude Code, Codex, Hermes, Cursor, custom clients
Quick start
1. Install
With uv (recommended — no venv management needed):
# Run directly without installing (uvx downloads + caches automatically)
uvx hedgedoc-mcp
# Or install as a persistent tool
uv tool install hedgedoc-mcp
Not yet on PyPI? Run straight from GitHub instead — same zero-install experience:
uvx --from git+https://github.com/mrsunglasses-experiments/hedgedoc-mcp hedgedoc-mcpUse this exact form in the agent config examples below (as
args) until the package is published.
With pip:
pip install hedgedoc-mcp
From source:
git clone https://github.com/mrsunglasses-experiments/hedgedoc-mcp.git
cd hedgedoc-mcp
uv pip install -e . # or: pip install -e .
2. Get a session cookie
HedgeDoc 1.x has no API tokens, so you authenticate once via the login endpoint and reuse the resulting session cookie:
hedgedoc-mcp-login --url https://md.example.com \
--email you@example.com --password 'your-password' \
--write-env .env
This prints (and optionally saves) HEDGEDOC_SESSION_COOKIE=....
Alternatively, set HEDGEDOC_EMAIL + HEDGEDOC_PASSWORD directly and the server will log in automatically on first use, re-authenticating whenever the session expires — no manual refresh needed.
3. Configure environment variables
export HEDGEDOC_URL=https://md.example.com
export HEDGEDOC_SESSION_COOKIE=s%3A... # from step 2, OR:
export HEDGEDOC_EMAIL=you@example.com # for auto re-login
export HEDGEDOC_PASSWORD=your-password
At minimum you need HEDGEDOC_URL plus either the cookie or the email+password pair. Setting both is recommended — the cookie is used as a fast path, and email/password is the automatic fallback whenever it expires.
4. Wire it into your agent
<details> <summary><b>Claude Code</b></summary>
claude mcp add hedgedoc -- uvx hedgedoc-mcp
Or add to .claude/mcp.json:
{
"mcpServers": {
"hedgedoc": {
"command": "uvx",
"args": ["hedgedoc-mcp"],
"env": {
"HEDGEDOC_URL": "https://md.example.com",
"HEDGEDOC_EMAIL": "you@example.com",
"HEDGEDOC_PASSWORD": "your-password"
}
}
}
}
</details>
<details> <summary><b>Codex CLI</b></summary>
Add to ~/.codex/config.toml:
[mcp_servers.hedgedoc]
command = "uvx"
args = ["hedgedoc-mcp"]
env = { HEDGEDOC_URL = "https://md.example.com", HEDGEDOC_EMAIL = "you@example.com", HEDGEDOC_PASSWORD = "your-password" }
</details>
<details> <summary><b>Hermes</b></summary>
Add an MCP server entry in your Hermes config with command: uvx, args: [hedgedoc-mcp], and the same environment variables. See the Hermes MCP docs for the exact config location on your install.
</details>
<details> <summary><b>Any other MCP client</b></summary>
This is a standard stdio MCP server. Point your client at uvx hedgedoc-mcp (or the installed hedgedoc-mcp executable) with the environment variables above set, and it will discover the 6 tools automatically via the standard MCP list_tools handshake. Using uvx means the client never needs a separate install step — uv downloads and caches the package on first run.
</details>
Available tools
| Tool | Description |
|---|---|
hedgedoc_create_note |
Create a new note (optionally with a custom URL alias). Returns the note ID and URL. |
hedgedoc_read_note |
Fetch a note's raw markdown content by ID or alias. |
hedgedoc_update_note |
Overwrite an existing note's content (alias-based notes only — see Limitations). |
hedgedoc_note_info |
Get a note's title, description, view count, and timestamps. |
hedgedoc_whoami |
Verify the session is valid and show the logged-in user. |
hedgedoc_list_history |
List the logged-in user's recently viewed/pinned notes. |
Using the Python client directly
You don't need MCP to use this — the underlying client is a normal Python class:
from hedgedoc_mcp.client import HedgeDocClient
client = HedgeDocClient("https://md.example.com")
client.login(email="you@example.com", password="your-password")
result = client.create_note("# Research notes\n\nSome findings...")
print(result.url)
content = client.read_note(result.note_id)
info = client.note_info(result.note_id)
Known limitations
HedgeDoc 1.x's HTTP API is genuinely limited compared to newer forks — see docs/LIMITATIONS.md for the full rundown, including:
- No API tokens (session-cookie auth only)
- No generic "update note by ID" endpoint (alias-based notes only)
- No delete endpoint over HTTP
These are constraints of the HedgeDoc 1.x server itself, not this client — the docs explain the workarounds this project uses and what genuinely isn't possible.
Development
git clone https://github.com/mrsunglasses-experiments/hedgedoc-mcp.git
cd hedgedoc-mcp
uv venv && source .venv/bin/activate
uv pip install -e ".[dev]"
pytest # run tests (fully mocked, no live server needed)
ruff check . # lint
See docs/ARCHITECTURE.md for how the auth flow and MCP layer fit together, and CONTRIBUTING.md for contribution guidelines.
License
MIT — see LICENSE.
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.
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.
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.
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.
E2B
Using MCP to run code via e2b.