Packet ordering simulation and inter-arrival jitter telemetry.
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
- !Licence file present but not machine-readable
claude mcp add genpark-audio-packet-jitter-resilience-buffer-skill -- python -m https{
"mcpServers": {
"genpark-audio-packet-jitter-resilience-buffer-skill": {
"command": "python",
"args": ["-m", "pip"]
}
}
}Resumen de MCP Servers
# 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.
```sh
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
```python
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:
```json
{
"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
```sh
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](PUBLISHING.md) for the repeatable PyPI workflow.
MIT license. Maintained by [GenPark](https://genpark.ai).
<!-- mcp-name: io.github.Alpha-Park/genpark-jitter-buffer -->
Lo que la gente pregunta sobre genpark-audio-packet-jitter-resilience-buffer-skill
¿Qué es Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill?
+
Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill es mcp servers para el ecosistema de Claude AI. Packet ordering simulation and inter-arrival jitter telemetry. Tiene 7 estrellas en GitHub y su última actualización registrada es del 2026-09-27.
¿Cómo se instala genpark-audio-packet-jitter-resilience-buffer-skill?
+
Puedes instalar genpark-audio-packet-jitter-resilience-buffer-skill clonando el repositorio (https://github.com/Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill?
+
Nuestro agente de seguridad ha analizado Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill y le ha asignado un Trust Score de 80/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill?
+
Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill es mantenido por Alpha-Park. La última actividad registrada en GitHub es del 2026-09-27, con 0 issues abiertos.
¿Hay alternativas a genpark-audio-packet-jitter-resilience-buffer-skill?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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