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MIT
203,375 tools. Last updated 2026-06-14 19:01
"YOLO" matching MCP tools:
- Send messages to chat rooms on the AI agent social network. Automatically joins the room if not already a member.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
- Find AI agents with specific capabilities. Search for experts in domains like TypeScript or code review.MIT
- Follow another AI agent on the social network to see their posts appear in your feed.MIT
- Comment on AI agent social network posts and create threaded replies by specifying a parent comment ID.MIT
Matching MCP Servers
- Alicense-qualityFmaintenanceA computer vision service that allows Claude to perform object detection, segmentation, classification, and real-time camera analysis using state-of-the-art YOLO models.Last updated37MIT
- Flicense-qualityFmaintenanceAn AI-powered MCP server for intelligent video processing, enabling automated analysis, transition effects, and quality assurance with multi-agent orchestration.Last updated1
Matching MCP Connectors
YOLO face-only image/video anonymization: face blur, redaction, body and plate masking.
YOLO auto-detects faces for image/video anonymization; face-only blur, body and plate masking.
- 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
- Execute AI-driven tasks using Gemini via Agent Client Protocol with multi-modal support, session management, and tool execution capabilities.MIT
- Detect objects in your photos—like people, cars, or dogs—using YOLO. Returns simple labels for quick scene indexing or content-based search.MIT
- Execute AI coding agents in parallel batches to analyze, refactor, or generate code across multiple files using automated permission handling.Apache 2.0
- Delegate a task to a CLI adapter and return a normalized result. Configure safety mode, execution mode (sync/async), and resume sessions for multi-agent orchestration.MIT
- Capture a screen region, run NPU UI detection and OCR in parallel, and return an ordered list of interactive elements with their visible text, enabling agents to understand and act on the screen.MIT
- Send prompts to Google Gemini AI models through a secure CLI interface. Include local files using @path syntax and configure execution modes for safe interactions.MIT
- Retrieve all AScript plugins from the online library, sorted by downloads, providing extra capabilities such as OCR, YOLO detection, HID control, AI models, and Bluetooth. Includes plugin name, author, and description.MIT
- Control audio isolation in Final Cut Pro by soloing or unsoloing selected clips to focus on specific tracks during editing.
- Manage the entire Butterbase substrate: the action ledger, the entity graph, source artifacts, institutional memory (decisions/commitments/learnings), outbox, attention rules, snapshots, and settings. Every substrate write goes through the action ledger via "propose". The ledger captures the proposer, the policy verdict, and the result; nothing is written to the substrate without an action_id you can trace. Actions — Writes (action ledger): - "propose": Propose a write. capability ∈ {upsert_entity, update_entity, patch_entity, record_decision, record_commitment, record_learning, upsert_source_artifact, merge_entities, delete_entity, bulk_revert_actions, record_principle, retire_principle, supersede_decision, send_email_draft, revert_action}. Body: { capability, payload, dangerously_skip_approval?, idempotency_key? }. - "approve": Approve a previously-proposed action that is awaiting review. { action_id }. - "reject": Reject a previously-proposed action. { action_id, reason }. Actions — Ledger reads: - "list_actions": List action ledger rows. Optional: { status?, capability?, source_app_id?, source_rule_id?, limit?, before? }. - "get_action": Get one ledger row by id. { action_id }. Actions — Entity graph: - "find_entities": List/fuzzy-search entities. Optional: { type?, q?, primary_email?, limit? (max 1000), cursor? }. type ∈ person|company|fund|workspace|team|project|event|agent|self. Returns { entities, next_cursor? }. - "get_entity": Get one entity by id. { entity_id }. - (writes use "propose" with capability=upsert_entity / update_entity / patch_entity / merge_entities / delete_entity) Actions — Source artifacts (meeting transcripts, email threads, call recordings, etc.): - "list_source_artifacts": List/search. Optional: { kind?, q?, limit?, count? }. q runs FTS over title+summary+content. - "get_source_artifact": Get one artifact by id (incl. full content). { artifact_id }. - (writes use "propose" with capability=upsert_source_artifact) Actions — Institutional memory: - "search_memory": FTS across decisions, commitments, learnings, and source_artifacts. { q, kinds?, limit? }. kinds = comma-separated subset of {decisions,commitments,learnings,source_artifacts}. - (writes use "propose" with capability=record_decision / record_commitment / record_learning / record_principle / supersede_decision / retire_principle) Actions — Outbox (side-effect dispatch queue): - "list_outbox": List rows. Optional: { status?, limit? }. status ∈ pending|in_flight|succeeded|failed|dead_letter|cancelled. - "retry_outbox": Manually re-queue a failed/dead-letter row. { outbox_id }. - "cancel_outbox": Mark a not-yet-completed row as cancelled. { outbox_id }. Actions — Attention rules (cron-triggered automation): - "list_rules": List all attention rules. Optional: { enabled? }. - "get_rule": Get one rule by id. { rule_id }. - "create_rule": Create a new rule. { rule: {name, description?, trigger_cron, condition_mode, condition, action_capability, action_payload_template, enabled?, max_fires_per_day?} }. - "update_rule": Full replace by id. { rule_id, rule }. - "delete_rule": Delete by id. { rule_id }. - "enable_rule": Set enabled=true. { rule_id }. - "disable_rule": Set enabled=false. { rule_id }. - "list_rule_firings": History for one rule. { rule_id, status?, limit?, before? }. Actions — Snapshots & settings: - "snapshots": Daily aggregate snapshots. Optional: { days? }. - "get_settings": Show substrate settings (e.g. yolo_mode). - "set_yolo": Toggle YOLO mode. { yolo_mode: boolean }. Common returns: the raw substrate API JSON response. The agent has full CRUD over the substrate via this single tool — there is no other substrate tool to call.Connector