yaniswav /

TopicForge

Read-only MCP server for ROS2 and DDS robotics. Let an AI agent inspect topics, DDS participants, QoS mismatches and rosbags. No write path

A new way for AI to search for data
View on GitHub
3GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit b6acd96e7a (2026-10-14).

Selected work

Yanis ♨️
@yaniswav

“shrink tools/list by a third and add restarts_by_name, s…”. 24 files, 4,434 lines in src/topicforge, tests.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-21. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

ai-agentsclaudecycloneddsddsfast-ddsmcapmcpmodel-context-protocol

Example questions

The prompt

Paste it into your AI agent. It clones yaniswav/TopicForge at the pinned commit and indexes it on your machine.

Search the GitHub repository yaniswav/TopicForge with XERJ (https://hub.xerj.org/corpus/yaniswav--topicforge).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/yaniswav/TopicForge TopicForge && git -C TopicForge checkout b6acd96e7a073556f84a217542e5f862d4124d10
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./TopicForge --url http://127.0.0.1:9200 --prefix topicforge --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Yanis ♨️AI, prompts and agents corporafastmcpatoma-run--atomagriptapesickn33/tidal-mcpelbayoumi/crewloomgbayerv26/memwall

Selected work and consent: the XERJ registry.