Node.js MCP server using LLMs (Gemini/OpenRouter) for AI-assisted task planning, breakdown, and code review. Designed for Cursor integration.
Node.js MCP server using LLMs (Gemini/OpenRouter) for AI-assisted task planning, breakdown, and code review. Designed for Cursor integration. That is what the task manager mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
This is an MCP server built to integrate with AI code editors like Cursor. The main goal here is to maximize Cursor's agentic capabilities and Gemini 2.5's excellent architecting capabilities while working around Cursor's extremely limited context window. This was inspired largely by Roo Code's Boomerang mode, but I found it extremely expensive as the only model that works with it's apply bot is Claude 3.7 Sonnet. With this server, you get the best of both worlds: unlimited context window and unlimited usage for the price of Cursor's $20/month subscription.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
Configuration is passed through the environment: OPENROUTER_API_KEY, OPENROUTER_MODEL, FALLBACK_OPENROUTER_MODEL, UI_PORT, WS_PORT, GEMINI_API_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of planning and project tracking servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by jhawkins11; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"task-manager-mcp": {
"command": "node",
"args": ["/full/path/to/your/task-manager-mcp/dist/server.js"],
"env": {
"OPENROUTER_API_KEY": "sk-or-v1-xxxxxxxxxxxxxxxxxxxx"
// optional: my recommended model for MCP is Gemini 2.5 Pro Free which is already set by default
// "OPENROUTER_MODEL": "google/gemini-2.5-flash-preview:thinking",
// also optional
// "FALLBACK_OPENROUTER_MODEL": "google/gemini-2.5-flash-preview:thinking",
// optional: the default port for the UI is 4999 if not set
// "UI_PORT": "4999",
// optional: the default port for the WebSocket server is 4999 if not set
// "WS_PORT": "4999"
// Add GEMINI_API_KEY here instead if using Google directly
// Add any other necessary env vars here
}
}
// Add other MCP servers here if you have them
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| OPENROUTER_API_KEY | Credential the server authenticates with. | Yes |
| OPENROUTER_MODEL | Configuration value read at startup. | Optional |
| FALLBACK_OPENROUTER_MODEL | Configuration value read at startup. | Optional |
| UI_PORT | Configuration value read at startup. | Optional |
| WS_PORT | Configuration value read at startup. | Optional |
| GEMINI_API_KEY | Credential the server authenticates with. | Yes |
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