genpark-jitter-buffer
Packet ordering simulation and inter-arrival jitter telemetry.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
https://github.com/Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill/releases/download/v1.0.1/genpark-jitter-buffer.mcpbDocumentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
genpark-jitter-buffer
Packet ordering simulation and inter-arrival jitter telemetry.
This is a packet metadata simulation, not a WebRTC implementation or audio codec. Timestamps must already be converted to milliseconds, and sequence numbers must be monotonically extended (no RTP wraparound). Missing packets produce markers, not synthesized audio. The caller controls playout timing; target_delay_ms is telemetry, not an enforced timer.
Install from the GitHub release
Python 3.9 or newer. The library and stdio MCP server have no runtime dependencies.
python -m pip install https://github.com/Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill/releases/download/v1.0.1/genpark_jitter_buffer-1.0.1-py3-none-any.whl
PyPI publication is pending account setup. The intended PyPI project is genpark-jitter-buffer;
do not assume pip install genpark-jitter-buffer is available until the project is published.
Python usage
from genpark_jitter_buffer import AudioPacketJitterResilienceBuffer
client = AudioPacketJitterResilienceBuffer()
print(client.run_benchmark_jitter_simulation())
MCP stdio configuration
After installing the wheel, configure your MCP client with the installed command:
{
"mcpServers": {
"genpark-jitter-buffer": {
"command": "genpark-jitter-buffer",
"args": []
}
}
}
If the command is not on PATH, use its absolute path or python -m genpark_jitter_buffer
with the same interpreter where you installed the wheel.
The GitHub release also contains a .mcpb bundle for clients supporting desktop extensions.
That bundle requires a Python 3.9+ interpreter on PATH; it bundles the server source.
Available tools: ingest_packet, extract_playout_frame, get_jitter_telemetry, run_benchmark_jitter_simulation.
tools/list returns required arguments and JSON schemas.
Each MCP process holds its own state. Benchmark tools use isolated instances.
Development
python -m unittest discover -s tests
python -m pip install mcp
python tests/check_mcp.py
python -m pip install build twine
python -m build
python -m twine check dist/*
python mcp_server.py --test runs the deterministic example; it is not a protocol conformance test.
The MCP client check exercises initialize, tools/list, tools/call and ping over stdio.
Distribution
GitHub source and release artifacts are the primary distribution until PyPI is configured. Registry submissions are tracked separately; a manifest is not proof of registry acceptance. See PUBLISHING.md for the repeatable PyPI workflow.
MIT license. Maintained by GenPark.
Questions fréquentes
Qu'est-ce que genpark-jitter-buffer ?
Packet ordering simulation and inter-arrival jitter telemetry.
Comment installer genpark-jitter-buffer ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
Faut-il une clé API pour genpark-jitter-buffer ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
genpark-jitter-buffer est-il open source ?
Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.
Qui maintient genpark-jitter-buffer ?
Il est publié par Alpha-Park. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.