Flatpak Documentation MCP Server
Provides tools for listing, retrieving, searching, and exploring the structure of Flatpak documentation files (.rst and .html), enabling AI agents to access Flatpak documentation programmatically.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Flatpak Documentation MCP Serversearch for sandbox permissions"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Flatpak Documentation MCP Server
An MCP (Model Context Protocol) server that provides access to Flatpak documentation files (.rst and .html) through a standardized interface.
Features
List Documentation: Browse all available Flatpak documentation files
Get Documentation: Read the content of specific documentation files
Search Documentation: Search across all documentation files for specific terms
Documentation Structure: Get the table of contents and structure of the documentation
Prompts: Pre-defined prompts for common documentation queries
Related MCP server: openai-agents-sdk-mcp
Installation
Clone this repository:
git clone https://github.com/MVDW-Java/flatpak-doc-mcp.git cd flatpak-doc-mcpInstall dependencies:
pip install -r requirements.txtThe server includes the Flatpak documentation as a submodule. If you haven't already initialized it:
git submodule update --init --recursive
Usage
Running the Server
The server can be run directly:
python app.pyIntegration with MCP Clients
To use this server with an MCP client (like Claude Desktop), add it to your client configuration:
Example configuration for Claude Desktop:
{
"mcpServers": {
"flatpak-docs": {
"command": "python",
"args": ["/path/to/flatpak-doc-mcp/app.py"],
"env": {
"PYTHONPATH": "/path/to/flatpak-doc-mcp"
}
}
}
}Available Tools
1. list_docs
List all available Flatpak documentation files.
Parameters:
filter(optional): Filter to search for specific documentation (e.g., 'builder', 'command')
Example:
list_docs(filter="builder")2. get_doc
Get the content of a specific Flatpak documentation file.
Parameters:
filename(required): Name of the documentation file (e.g., 'building.rst', 'flatpak-docs.html')search_term(optional): Search term to find within the document
Example:
get_doc(filename="building.rst", search_term="sandbox")3. search_docs
Search across all Flatpak documentation files.
Parameters:
query(required): Search query to find in documentation contentmax_results(optional): Maximum number of results to return (default: 10)
Example:
search_docs(query="flatpak build", max_results=5)4. get_doc_structure
Get the structure of Flatpak documentation (table of contents).
Example:
get_doc_structure()Available Prompts
1. flatpak_overview
Get an overview of Flatpak documentation.
2. flatpak_topic
Get documentation about a specific Flatpak topic.
Parameters:
topic(required): Topic to get documentation about (e.g., 'building', 'sandbox', 'commands')
Documentation Structure
The Flatpak documentation includes:
Core Documentation (.rst files):
index.rst- Main documentation indexintroduction.rst- Introduction to Flatpakbasic-concepts.rst- Basic concepts and terminologygetting-started.rst- Getting started guidebuilding.rst- Building applicationsflatpak-builder.rst- Using flatpak-builderpublishing.rst- Publishing applicationssandbox-permissions.rst- Sandbox permissionsportals.rst- Portals for sandboxed applicationsdebugging.rst- Debugging applications
Reference Documentation (.html files):
flatpak-docs.html- Flatpak command referenceflatpak-builder-docs.html- flatpak-builder command referencelibflatpak-docs.html- libflatpak API reference
Additional Topics:
Desktop integration
Dependencies and modules
Hosting repositories
Tips and tricks
Under the hood details
Development
Project Structure
flatpak-doc-mcp/
├── app.py # Main MCP server implementation
├── requirements.txt # Python dependencies
├── README.md # This file
└── flatpak-docs/ # Flatpak documentation submodule
└── docs/ # Documentation files
├── *.rst # ReStructuredText documentation
├── *.html # HTML documentation
└── ...Adding New Features
New Tools: Add new tool handlers in the
FlatpakDocServer.setup_handlers()methodNew Prompts: Add new prompt handlers in the same method
Configuration: Modify
DOCS_ROOTandSUPPORTED_EXTENSIONSconstants as needed
Testing
Run the server and test with an MCP client or use the Python REPL:
import asyncio
from app import FlatpakDocServer
async def test():
server = FlatpakDocServer()
# Test your handlers here
asyncio.run(test())License
This MCP server is provided under the same license as the Flatpak documentation it serves.
Acknowledgments
Flatpak for the comprehensive documentation
Model Context Protocol for the protocol specification
The MCP community for tools and libraries
Support
For issues or questions:
Check the Flatpak documentation
Open an issue in the repository
Consult the MCP documentation for client integration issues
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/MVDW-Java/flatpak-doc-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server