Local markdown notes: ranked + semantic search, tags, todos, and a wiki-link knowledge graph.
Local-first PHI detection for source code, LLM prompts, logs, and analytics.
Convert photos to LEGO-style brick mosaic previews with AI-powered color quantization.
Prove your AI work existed first: timestamped, Bitcoin-anchored. Free, no account.
Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.
MCP server for AI dialogue using various LLM models via AceDataCloud.
AceDataCloud Face Transform MCP: keypoints, beautify, age/gender, swap, cartoon, liveness.
MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning).
MCP server for Flux AI image generation.
MCP server for GLM chat completions using Zhipu AI models via AceDataCloud.
MCP server for Midjourney AI image generation and editing.
MCP server for NanoBanana AI image generation and editing.
MCP server for Producer/Riffusion AI music generation.
MCP server for Qwen Image 3 AI image generation.
MCP server for ByteDance Seedream AI image generation.
MCP server for Suno AI music generation, lyrics, and covers.
Verify consequential AI actions before they execute.
Multi-agent memory intelligence with expertise tracking and conflict detection.
Semantic memory for AI agents with hybrid search, knowledge graph, and consolidation.
River level, streamflow, flood forecasts and basins from USGS, NOAA and SWOT, with units and datums.
VantaGate MCP Server & OpenAPI integration - Human-in-the-Loop for AI Agents.
Free AI visibility (GEO/AEO) audit: can ChatGPT, Claude and Perplexity find and cite your website?
Control FiftyOne computer vision datasets through AI assistants using 80+ operators.
Local-only MCP server and CLI for AI video ad briefs, UGC scripts, storyboards, and prompts.
About AI & Agents MCP servers
This category collects servers that make agents better at being agents. You will find orchestration layers that run multi-step pipelines, routers that hand a task to the right model or sub-agent, evaluation and tracing tools, prompt and skill libraries, and bridges that let one assistant call another. Some wrap commercial model APIs; others are thin coordination layers around open-source frameworks.
Because these servers often sit between your agent and other systems, look closely at where data flows and what is logged. Prefer servers that document their tool contracts clearly, support streaming where relevant, and can run locally when the workload is sensitive. Many are new and move quickly, so check the repository's recent activity before relying on one in production.