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Master Your Context Before You Code

Align your AI agents with your roadmap. AgentContext helps teams manage MCP projects with seamless integration, dynamic planning, and secure design.

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Why Context Matters

AI agents are only as good as the context they receive. AgentContext ensures your AI understands your project's history, goals, and constraints—so it can truly help you build.

Seamless Integration

Connect your existing tools and workflows effortlessly. AgentContext integrates with your favorite IDEs, version control systems, and development platforms.

Dynamic Planning

Adapt your project roadmap in real-time. Our intelligent planning system evolves with your codebase, keeping your AI agents aligned with your goals.

Secure by Design

Enterprise-grade security built from the ground up. Your code and context data are encrypted, isolated, and never used to train external models.

Works with your favorite tools

AgentContext seamlessly integrates with your existing development workflow through the Model Context Protocol.

Integration Features

  • Native MCP protocol support
  • VS Code and JetBrains extensions
  • GitHub and GitLab integration
  • Custom tool definitions
  • Real-time context synchronization
  • Secure credential management
Connected - Server Active
mcp-config.json
1{
2  "mcpServers": {
3    "agentcontext": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@agentcontext/mcp-server"
8      ],
9      "env": {
10        "AGENTCONTEXT_API_KEY": "your-api-key",
11        "AGENTCONTEXT_PROJECT_ID": "proj_abc123"
12      }
13    }
14  }
15}

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