AI / ML

Machine learning model inference, embedding generation, vector similarity search, and AI pipeline orchestration.

Prompt injection · model poisoning · data leakage
4,762Total Servers
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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.

by advocatemcp

1
advocu-mcp-server

MCP Server for Advocu - Reporting Tool for GDEs

by carlosazaustre

TypeScript30
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.

by adweave

Aegis

Governs AI agent actions with YAML-based policies, approval gates, audit trails, and risk classification.

by Acacian

Python9
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.

Python4
aem-mcp-server

AEM MCP server. Chat with your AEM instance for content, component, and asset operations.

by draganfilipovic

TypeScript
@afferens/mcp-server

MCP server for Afferens — real-time physical perception for AI agents

by kroevasuperadmin

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

by lionofjewdah

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.

by msitarzewski

Shell95.5k
agency.lona/trading

AI-powered trading strategy development: backtesting, market data, and portfolio analysis

by lona

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.

by subeshb1

MDX69
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.

by agentaeo

TypeScript0
agent-analytics-mcp-server

Usage analytics and monitoring for AI agent tool calls — track, analyze and optimize agent behavior

by AiAgentKarl

Python
AgentAnycast

Connect AI agents across any network — zero config, encrypted, skill-based routing

by AgentAnycast

Shell76
agentation-mcp

MCP server for Agentation - visual feedback for AI coding agents

by benjitaylor

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

by raditotev

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

by jiaobaba

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

by GitHub Actions

TypeScript