Browse and search the AI agent directory
740 agents found
MCP server package - managed by mcp-prep
Model Context Protocol server for Microsoft Dev Box
Search and explore datasets from the AWS Open Data Registry with fuzzy matching and detailed dataset information
Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases
MCP server for website operations - Google Marketing, SEO, Performance, Security & Monitoring. 121 tools for Claude.
An app that helps you monitor your Kubernetes cluster, debug critical deployments & gives recommendations for standard p
The Application Engine for the AI Era. A multi-threaded, AI-native runtime with a persistent Scene Graph, enabling AI agents to introspect and mutate the living application structure in real-time.
Organization-theory based tools for Claude Code Agent Teams — 8 tools: Andon, Topology, RACI, OrgMemory, Workflow, QualityGate, Trace, Knowledge
A highly-customizable web-based client for Azure Bot Services.
Agentic IM Chatbot infrastructure that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your op
Seamlessly invoke Amazon Bedrock or your custom models, enabling a smooth experience with AWS GenAI services.
Azure Functions runtime adapter for MCP servers built with ModelFetch
Generate MCP servers from natural language descriptions, OpenAPI specs, database schemas, GraphQL, or ontologies. Supports 10+ LLM providers via Vercel AI SDK.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage.
Model Context Protocol server for BullMQ job queue management
AI constraint engine with Policy-as-Code DSL, OAuth/OIDC SSO, admin dashboard, telemetry, API key auth, RBAC, AES-256-GCM encryption, hard enforcement, semantic pre-commit, HMAC audit chain, SOC 2/HIPAA compliance. 100% detection, 0% false positives. 31 M
MCP server package - managed by mcp-prep
The open-source hub to build & deploy GPT/LLM Agents ⚡️
MCP server for GitHub Actions — view workflow runs, read logs, re-run failed jobs, and manage CI/CD from your IDE
MCP server for Azure DevOps integration with wikis, test plans, and work items
