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genpark-audio-packet-jitter-resilience-buffer-skill

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Packet ordering simulation and inter-arrival jitter telemetry.

MCP ServersOfficial Registry7 stars0 forks● PythonNOASSERTIONUpdated today
ClaudeWave Trust Score
80/100
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Passed
  • ✓Actively maintained (<30d)
  • ✓Clear description
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Flags
  • !Licence file present but not machine-readable
Last scanned: 9/28/2026
Install in Claude Code / Claude Desktop
Method: pip / Python · https
Claude Code CLI
claude mcp add genpark-audio-packet-jitter-resilience-buffer-skill -- python -m https
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "genpark-audio-packet-jitter-resilience-buffer-skill": {
      "command": "python",
      "args": ["-m", "pip"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install https
Use cases

MCP Servers overview

# 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 -->
ai-agentconversational-aifull-duplexmcpmcp-servermodel-context-protocolrealtime-audiospeech-processingturn-takingvoice-agentzero-dependency

What people ask about genpark-audio-packet-jitter-resilience-buffer-skill

What is Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill?

+

Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill is mcp servers for the Claude AI ecosystem. Packet ordering simulation and inter-arrival jitter telemetry. It has 7 GitHub stars and its last recorded update is dated 2026-09-27.

How do I install genpark-audio-packet-jitter-resilience-buffer-skill?

+

You can install genpark-audio-packet-jitter-resilience-buffer-skill by cloning the repository (https://github.com/Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill safe to use?

+

Our security agent has analyzed Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill and assigned a Trust Score of 80/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill?

+

Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill is maintained by Alpha-Park. The last recorded GitHub activity is dated 2026-09-27, with 0 open issues.

Are there alternatives to genpark-audio-packet-jitter-resilience-buffer-skill?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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