mcp-server-datovka

mcp-server-datovka

An MCP server exposing the Czech ISDS Data Box system (Datové schránky) as tools, built on fastmcp and python3-datovka.

Category
Visit Server

README

mcp-server-datovka

mcp-server-datovka icon

An MCP server exposing the Czech ISDS Data Box system ("Datové schránky") as tools, built on fastmcp and python3-datovka.

Tools

Tool Description
list_received_messages(limit=20) Summaries of received messages, most recent first
list_sent_messages(limit=20) Summaries of sent messages, most recent first
get_message(message_id, include_attachment_content=False) Full message with documents; attachment bytes are base64-encoded and only included on request
mark_message_read(message_id) Mark a received message as read
send_message(recipient_box_id, subject, attachments, ...) Send a new message; attachments is a list of {filename, mime_type, content_base64, is_main} dicts, exactly one of which must be is_main=True
send_text_message(recipient_box_id, subject, body) Compose plain text as a PDF and send it as the message's main document — no existing file needed
find_data_box(query, limit=10) Look up a recipient's data box ID by name, trade name, or IČO. Uses the offline seznamds directory first (fast, unlimited), falling back to the live, rate-limited ISDS search API if it's absent or finds nothing. The response includes source and data_age_days so a stale offline snapshot doesn't get presented as current.
ping() Verify the session is alive

Messages in ISDS are envelope + document attachments, not a body text field — that's why sending "just text" (send_text_message) means rendering it to a PDF first, using the system's DejaVu Sans font so Czech diacritics render correctly.

Configuration

Credentials are read once from the environment at startup and are never tool parameters, so the LLM driving the server can't see or choose them:

export DATOVKA_URL="https://ws1.mojedatovaschranka.cz/"  # optional, this is the default; trailing slash required
export DATOVKA_USERNAME="..."
export DATOVKA_PASSWORD="..."

Install the optional seznamds package for fast, unlimited recipient lookups via find_data_box:

apt install seznamds

Without it, find_data_box still works but falls back to the live, rate-limited ISDS search API for every lookup.

Running

mcp-server-datovka

Or point an MCP client at it directly:

python -m mcp_server_datovka.server

Requirements

  • libdatovka8 + python3-datovka (or pip install datovka)
  • fastmcp
  • python3-fpdf (fpdf2) + fonts-dejavu-core, for send_text_message
  • seznamds (recommended, optional), for fast offline find_data_box lookups

License

LGPL-3.0-or-later.

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured