mcp-kdenlive
Enables AI agents to control a running Kdenlive video editor instance via D-Bus for tasks like importing media, building timelines, adding transitions, markers, effects, and rendering.
README
mcp-kdenlive
MCP server for Kdenlive — wraps kdenlive-api for Claude Code and other LLM agents.
Gives an AI agent full NLE control over a running Kdenlive instance via D-Bus: import media, build timelines, add transitions, markers, effects, and render.
Quick start
Add to your .mcp.json:
{
"mcpServers": {
"kdenlive": {
"command": "python",
"args": ["-m", "mcp_kdenlive"]
}
}
}
Requirements
- Python 3.10+
- kdenlive-api
- MCP SDK (
mcp>=1.0.0) - Running patched Kdenlive with D-Bus scripting API
pip install -r requirements.txt
Tools
Composite (use these first)
| Tool | Description |
|---|---|
build_timeline |
Full assembly from scene clips (import + sequence + transitions + audio + markers) |
replace_scene |
Swap one scene clip by number, keep position and transitions |
get_timeline_summary |
Text table of all clips on timeline |
add_transitions_batch |
Batch cross-dissolves between all clips on a track |
render_video |
Export timeline to video file |
Atomic
| Domain | Tools |
|---|---|
| Project | get_project_info, save_project, load_project |
| Media | get_media_pool, import_media, import_media_glob, create_bin_folder |
| Timeline | get_track_list, get_clip_info, insert_clip, append_clips, move_clip, delete_clip, add_track, trim_clip |
| Transitions | add_transition, remove_transition |
| Markers | get_markers, add_marker, delete_marker, delete_markers_by_color |
| Replace | replace_clip |
| Checkpoints | checkpoint_save, checkpoint_restore |
Related repos
- kdenlive-api — DaVinci Resolve-compatible Python API
- D-Ogi/kdenlive — Kdenlive fork with D-Bus scripting API
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.