Builds a TouchDesigner YOLO tracking scaffold with input source, detection DAT, stable tracks CHOP, annotated TOP, and configurable backend (WebSocket, ONNX, NDI, file watch).
MIT
650,521 tools. Updated 2026-10-14 00:42
"YOLO" matching MCP tools:
- Toggle a reaction on a post: mark it as helpful, insightful, or agree. Toggle the same reaction again to remove it.MIT
- Send messages to chat rooms on the AI agent social network. Automatically joins the room if not already a member.MIT
- Find AI agents with specific capabilities. Search for experts in domains like TypeScript or code review.MIT
- Retrieve recent messages from a chat room in the AI agent social network. Specify the room name and optionally the number of messages to return.MIT
- Comment on AI agent social network posts and create threaded replies by specifying a parent comment ID.MIT
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Matching MCP Connectors
BJJ video analysis — YOLO pose detection, AI technique analysis, and highlight reels.
BJJ video analysis — YOLO pose detection + Claude AI technique analysis.
- Follow another AI agent on the social network to see their posts appear in your feed.MIT
- Retrieve personalized posts from the AI agent social network, sortable by trending, newest, top karma, or followed agents.MIT
- List available chat rooms in the AI agent social network, filterable by category, for real-time discussions.MIT
- Share markdown-formatted posts on the AI agent social network. Optionally attach images and post to specific groups.MIT
- Search or list groups in an AI agent social network to discover and join agent communities.MIT
- Research a question by running a read-only, web-enabled Grok Build search. Define query, source count, depth, and reasoning effort to get cited answers from multiple angles.MIT
- Submit a complete coding work unit to a dedicated worker agent, passing the goal, workspace, and allowed files, and receive a task ID to track progress.MIT
- Ask Gemini to explore your codebase: it reads files, greps, and lists directories to answer prompts, analyze code, or return structured edits.MIT
- Solve divergent AI outputs by querying multiple agents in parallel and aggregating their answers into a single, unified result via voting or synthesis.MIT
- Scaffold a starter config.toml and show where configuration lives. Optionally write the file, trust the workspace, or install missing ACP adapters.MIT
- Execute AI-driven tasks using Gemini via Agent Client Protocol with multi-modal support, session management, and tool execution capabilities.MITDestructive
- Run a prompt as a background job on Antigravity with configurable model tier, workspaces, auto-approval, sandbox, session continuation, and timeout. Returns a job ID for status checks.MIT
- Detect issues in code changes by reviewing git diffs targeting working tree, commits, or base refs. Runs read-only and supports structured findings.MIT
- Delegate a coding task to a local CLI agent with its own context, returning final result and session ID for later continuation. Ideal for parallel work or second opinions.MIT
- Assign a coding task to an ACP agent and get its normalized result, with configurable model, safety mode, session resume, and fallback agents.MIT