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Awesome AI Coding Agents

A curated list of AI coding assistants, agents, and frameworks — with setup guides for connecting MCP servers to each one.

The right AI tool paired with the right data sources changes everything.

Awesome License: MIT


Contents


IDE-Based Agents

Agent Editor MCP Support Description
Cursor VS Code fork Native AI-first code editor with .cursorrules and MCP
GitHub Copilot VS Code, JetBrains, Vim Via extensions Code completion and chat by GitHub
Windsurf VS Code fork Native Cascade flows with deep codebase understanding
Continue VS Code, JetBrains Native Open-source AI code assistant
Cody VS Code, JetBrains Via integrations Context-aware assistant by Sourcegraph
Supermaven VS Code, JetBrains Via extensions Ultra-fast code completion
Tabnine Multi-editor Via extensions AI code completion for teams

Terminal-Based Agents

Agent MCP Support Description
Claude Code Native Anthropic's agentic coding tool — thinks, writes, tests
Aider Via config Terminal pair programming with git integration
OpenHands Via tools Autonomous software development agent
Mentat Via config Terminal-based AI coding assistant
GPT Engineer Via tools Generate full codebases from prompts
Sweep Via GitHub AI-powered pull request generation

Autonomous Agents

Agent MCP Support Description
Devin Native Cognition's autonomous software engineer
SWE-Agent Via tools Autonomous bug-fixing agent
AutoGPT Via plugins Self-prompting autonomous agent
AgentGPT Via tools Browser-based autonomous agent
MetaGPT Via tools Multi-agent for software development
OpenClaw Native Personal AI assistant agent

Multi-Agent Frameworks

Framework Language MCP Support Description
CrewAI Python Native Role-based multi-agent collaboration
LangGraph Python, JS Native Stateful multi-agent orchestration
AutoGen Python Via tools Microsoft's multi-agent framework
Semantic Kernel C#, Python, Java Via plugins Microsoft's AI orchestration SDK
Google ADK Python Native Google's Agent Development Kit
Dify Multi Native Low-code agent builder
n8n Multi Via nodes Workflow automation with AI agents

Code Review Agents

Agent Description
CodeRabbit AI-powered code reviews on pull requests
Codium (Qodo) Test generation and code integrity
Sourcery Automated Python code quality improvements
Greptile Codebase-aware AI for code reviews

Specialized Agents

Agent Focus Description
v0 UI/Frontend Generates React components from prompts
bolt.new Full-stack Full-stack web apps from prompts
Replit Agent Full-stack Build and deploy apps in-browser
Lovable Full-stack AI-powered web app builder
Claude Artifacts Components Interactive component generation
ChatGPT Canvas Writing/Code Collaborative editing with AI

MCP Integration Guides

Connecting MCP to Claude Code

# Add a memory server
echo '{"mcpServers":{"memory":{"url":"'$VINKIUS_MEM0_MCP_URL'"}}}' > .mcp.json
claude  # MCP is auto-detected
/mcp    # verify connection

Connecting MCP to Cursor

  1. Open Settings → MCP
  2. Add server with SSE URL from Vinkius
  3. Restart Cursor

Connecting MCP to CrewAI

from crewai import Agent
from crewai_tools import MCPServerAdapter

tools = MCPServerAdapter(
    server_params={"url": "https://edge.vinkius.com/vk_live_xxx/mcp"}
).tools

agent = Agent(role="Researcher", tools=tools)

Where to Get MCP Servers

The Vinkius AI Gateway provides 2,600+ production-ready MCP servers — deploy any of them in under a minute and receive an SSE endpoint URL.

Browse: vinkius.com/en/categories


License

MIT — Vinkius Labs

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