AI / ML
| Server | Language | Stars | Downloads |
|---|---|---|---|
| Advanced YouTube A Model Context Protocol (MCP) server for interacting with YouTube data. This server provides resources and tools to query YouTube videos, channels, comments, and transcripts through a stdio interface. | — | — | — |
| Advice Server Provide expert advice and recommendations dynamically to enhance decision-making processes. Integrate seamlessly with LLM applications to deliver context-aware guidance. Enable users to access curated advice through a standardized protocol interface. | — | — | — |
| Advocate MCP server that makes local businesses discoverable to AI assistants with verified data. | — | 1 | — |
| advocu-mcp-server MCP Server for Advocu - Reporting Tool for GDEs | TypeScript | 30 | — |
| AdWeave Meta Ads Meta Ads management platform with 47 tools for campaigns, creatives, audiences, and performance analytics via AdWeave. | — | — | — |
| AdWeave — Meta Ads MCP Server Meta Ads MCP server with 47 tools for campaigns, creatives, audiences, and insights. | — | — | — |
| Aegis Governs AI agent actions with YAML-based policies, approval gates, audit trails, and risk classification. | Python | 9 | — |
| AEMET (Spain's Meteorological Agency) Provides direct access to Spain's State Meteorological Agency (AEMET) data for querying historical climate data, monthly summaries, and beach conditions across Spanish weather stations. | Python | 4 | — |
| aem-mcp-server AEM MCP server. Chat with your AEM instance for content, component, and asset operations. | TypeScript | — | — |
| @afferens/mcp-server MCP server for Afferens — real-time physical perception for AI agents | TypeScript | — | — |
| agda-mcp-server MCP server for interactive Agda proof development — type-checking, goal inspection, case splitting, proof search, and more via the Model Context Protocol | TypeScript | — | — |
| agency-agents A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. | Shell | 95.5k | — |
| agency.lona/trading AI-powered trading strategy development: backtesting, market data, and portfolio analysis | — | — | — |
| agenite 🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama. | MDX | 69 | — |
| Agent2Models Access to multiple AI models within a single request | — | — | — |
| AgentAEO Answer Engine Optimization audit measuring brand visibility across ChatGPT, Perplexity, Claude, and Google AI. | TypeScript | 0 | — |
| agent-analytics-mcp-server Usage analytics and monitoring for AI agent tool calls — track, analyze and optimize agent behavior | Python | — | — |
| AgentAnycast Connect AI agents across any network — zero config, encrypted, skill-based routing | Shell | 76 | — |
| agentation-mcp MCP server for Agentation - visual feedback for AI coding agents | TypeScript | — | — |
| agent-audit-trail Compliance infrastructure for AI agents. Connect via MCP in 60 seconds — every tool call logged, hash-chained, and policy-evaluated before it touches your systems. | — | — | — |
| agentauth-mcp-server MCP server exposing AgentAuth identity and authentication tools for AI agents | Python | — | — |
| AgentBazaar AI agent marketplace for searching, executing, chaining, and selling agents via MCP. | — | — | — |
| @agentbell/mcp-server AgentBell MCP Server — notifies AgentBell.app of AI agent state changes | TypeScript | — | — |
| AgentBond Authorization and governance infrastructure for AI agents. 17 MCP tools for token authorization, intent proof, contract management, action evaluation, and audit logging. **Key Features:** - Token-based authorization with scope, budget, and expiry controls - Hierarchical delegation (parent → child token chains) - Intent proof layer — record and verify why agents act - Inter-agent contracts with lifecycle management - Built-in audit trail for all governance decisions **Use Cases:** - Multi-agent systems requiring fine-grained access control - Budget-constrained agent operations - Auditable AI agent governance - Inter-agent agreements and deliverable tracking | — | — | — |
| @agentbox/mcp-server AgentBox MCP Server — Remote browser sessions for AI agents | TypeScript | — | — |