Browse and search the AI agent directory
740 agents found
The Model Context Protocol (MCP) Server built on Qiniu Cloud products supports users in accessing Qiniu Cloud Storage, intelligent multimedia services, and more through this MCP Server within the context of AI large model clients
MCP server for Atlassian products (Confluence and Jira). Supports Confluence Cloud, Jira Cloud, and Jira Server/Data Center. Provides comprehensive tools for searching, reading, creating, and managing content across Atlassian workspaces
Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-architecture support
Contemplative problem-solving using the Lotus Sutra's wisdom framework. Multi-perspective reasoning with skillful means, non-dual recognition, and meditation pauses. Available as local stdio or remote Cloudflare Worker
A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events
Remote Storage Access: SFTP, S3, FTP, SMB, NFS, WebDAV, GIT, FTPS, gcloud, azure blob, sharepoint, etc
Integration with Cloudflare services including Workers, KV, R2, and D1
vet-mcp checks open source packages—like those suggested by AI coding tools—for vulnerabilities and malicious code. It supports npm and PyPI, and runs locally via Docker or as a standalone binary for fast, automated vetting
A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (`kubectl`, `helm`, `istioctl`, and `argocd`) using Unix pipes in a safe Docker environment with multi-architecture support
🎖️🏎️☁️ - The official Terraform MCP Server seamlessly integrates with the Terraform ecosystem, enabling provider discovery, module analysis, and direct Registry API integration for advanced Infrastructure as Code workflows
Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal access to agent environments, git workflow. Any agent/model/infra stack
Official Microsoft MCP server for Azure services including Storage, Cosmos DB, and Azure Monitor
Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources
Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources
AWS MCP servers for seamless integration with AWS services and resources
powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for **any** Kubernetes resource, this server provides specialized tools to interact with your cluster
Atlassian Jira Cloud integration. Enables AI systems to interact with Jira projects, issues, comments, and related development information in real time
A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities
Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required
