Packages
32162 resultsVite
Next-generation frontend build tool that uses native ES modules for an extremely fast development server with hot module replacement (HMR), and bundles production builds with Rollup. Supports React, Vue, Svelte, and vanilla JS/TS out of the box via plugins.
Xcode Project MCP Server
Xcode Project MCP server enabling AI agents to interact with Xcode projects and workspaces — reading and modifying .xcodeproj files, managing build targets and schemes, adding and removing files from project structure, updating build settings, and integrating Xcode project management into agent-driven iOS/macOS development and build automation workflows.
Zed MCP Server Sequential Thinking
MCP server providing sequential thinking capabilities specifically optimized for the Zed editor. Implements structured step-by-step reasoning that enables AI agents within Zed to break down complex problems, plan multi-step solutions, and work through logical chains — adapting the sequential thinking pattern for Zed's AI assistant workflows.
Apache Airflow MCP Server
Apache Airflow MCP server enabling AI agents to interact with Airflow's workflow orchestration platform — triggering and monitoring DAG runs, querying task execution status, managing DAG schedules, retrieving logs, and integrating Airflow's workflow automation into agent-driven data engineering workflows.
Apifox MCP Server
Official Apifox MCP server enabling AI agents to interact with Apifox — the API design, testing, and documentation platform popular in the Chinese developer ecosystem — querying API specifications, retrieving endpoint documentation, searching API projects, accessing mock data configurations, and integrating Apifox's API management into agent-driven API development workflows.
tfmcp
A Rust-based MCP tool providing AI assistants with 31 structured tools to manage Terraform environments, including plan analysis with risk scoring, state drift detection, workspace management, and security scanning.
Cloudflare DNS API
Cloudflare's REST API for managing DNS records, zones, page rules, firewall rules, and other Cloudflare services programmatically across managed domains.
Google Workspace MCP
A comprehensive MCP server providing AI agent access to the full Google Workspace suite: Gmail, Calendar, Drive, Docs, Sheets, Slides, Forms, Chat, Tasks, Contacts, and Apps Script. Supports OAuth 2.0/2.1, multi-user auth, read-only mode, tool tier filtering, and both HTTP and stdio transports.
Lighthouse MCP Server
Google Lighthouse MCP server enabling AI agents to run web performance and quality audits using Lighthouse — analyzing pages for performance scores, Core Web Vitals, accessibility issues, SEO problems, and best practices. Enables AI agents to audit web pages and provide actionable improvement recommendations for web developers and performance engineers.
MCP Prompt Server (Go)
Go-based MCP server for managing and serving reusable prompt templates by smallnest — a prolific Go developer. Enables AI agents to load, query, and use stored prompt templates — supporting prompt engineering workflows, prompt versioning, and systematic prompt management for AI development teams.
Microsoft Sentinel Data Exploration MCP
Official Microsoft Sentinel MCP server enabling AI agents to explore security data, query logs with KQL, investigate incidents, and perform threat hunting in Microsoft Sentinel SIEM.
PGMCP
MCP server that converts natural language questions into SQL queries against any PostgreSQL database, returning results in table, JSON, or CSV format with streaming support for large result sets.
StarRocks MCP Server
Official StarRocks MCP server enabling AI agents to interact with StarRocks — the high-performance analytical SQL database — executing queries, exploring table schemas, analyzing data, and integrating StarRocks's fast OLAP capabilities into agent-driven data analytics and business intelligence workflows.
tmux MCP Server
tmux MCP server enabling AI agents to control tmux terminal multiplexer sessions — creating and managing windows and panes, sending commands to terminal sessions, reading terminal output, and integrating tmux's persistent terminal management into agent-driven shell automation and multi-process orchestration workflows.
AWS MCP Servers
Official collection of MCP servers from AWS Labs providing AI agents access to AWS services. Includes servers for AWS documentation lookup, infrastructure-as-code (CloudFormation, CDK, Terraform), container orchestration (EKS, ECS), serverless (SAM CLI, Lambda), cloud resource management (Cloud Control API), and AWS Support. Enables foundation models to read AWS docs, manage infrastructure, and automate cloud operations.
CrewAI
Python framework for orchestrating role-playing AI agents that collaborate on complex tasks — agents are assigned roles, goals, and tools, then work together as a 'crew'.
CrewAI Enterprise MCP Server (Official)
Official CrewAI Enterprise MCP server enabling AI agents to deploy and interact with CrewAI's enterprise multi-agent orchestration platform — managing crews, agents, and tasks; kicking off multi-agent workflows; retrieving execution results; and integrating CrewAI's collaborative agent framework into other MCP-based agent workflows.
Damn Vulnerable MCP Server
Intentionally vulnerable MCP server for security education — modeled after DVWA (Damn Vulnerable Web Application), it exposes common MCP security vulnerabilities including prompt injection, tool poisoning, excessive permissions, and authentication flaws, enabling security researchers and developers to learn MCP attack/defense patterns in a safe environment.
Grafana Loki MCP Server (Official)
Official Grafana Loki MCP server enabling AI agents to query logs stored in Loki using LogQL — searching log streams, filtering by labels, running log metric queries, and analyzing log data for incident investigation.
Kibana MCP Server
Kibana MCP server enabling AI agents to interact with Kibana — the Elastic stack's visualization and observability platform. Enables querying Elasticsearch through Kibana's APIs, reading dashboards and saved searches, running KQL (Kibana Query Language) queries, accessing log and metric data, and integrating observability data into agent workflows for incident response and data analysis.