NVIDIA / NVIDIA/TensorRT-LLM

Scaffolding support A2A protocal

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Scaffolding
Dominant language
Python
Stars
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Forks
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Avg merge
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Merged PRs (30d)
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Description

Scaffolding should be easy to support A2A protocal after support MCP. We can develop an example to verify this matter.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the existing MCP scaffolding in TensorRT-LLM and the Python API entry points used to support it. Develop an example for A2A protocol support and use that example to verify the scaffolding works; the issue does not name specific files or tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend-api-design
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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