genpark-jitter-buffer

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Packet ordering simulation and inter-arrival jitter telemetry.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

MCPB package https://github.com/Alpha-Park/genpark-audio-packet-jitter-resilience-buffer-skill/releases/download/v1.0.1/genpark-jitter-buffer.mcpb

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. genpark-jitter-buffer
  2. Install from the GitHub release
  3. Python usage
  4. MCP stdio configuration
  5. Development
  6. Distribution

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.

Frequently asked questions

What is genpark-jitter-buffer?

Packet ordering simulation and inter-arrival jitter telemetry.

How do I install genpark-jitter-buffer?

Follow the installation steps in its documentation, shown on this page and in its repository.

Does genpark-jitter-buffer need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is genpark-jitter-buffer open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains genpark-jitter-buffer?

It is published by Alpha-Park. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.