Use A* Pathfinder with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Get the most efficient path for any agent or character.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 3 capabilities
The complete A* Pathfinder capability set.
These are the exact actions your AI can choose when you ask it to work with A* Pathfinder.
01-03
3 capabilities in this set.
Part of 3 available through A* Pathfinder.
- 01
Analyze grid feasibility
- 02
Find k shortest paths
- 03
Find shortest path
Observed, not estimated
855ms average. Fast in production.
A* Pathfinder is checked daily against the live service.
- Fastest day
- 714ms
- Slowest day
- 1028ms
- 14-day trend
- Improving-8%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of A* Pathfinder, so you can see the experience inside your AI.
It does not authenticate your account with A* Pathfinder. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
A* Pathfinder Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_AG75gvuUMvODSgOAGPyVSWSujySFpUemL5hIOyAF/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — A* Pathfinder capabilities are ready to use.
{
"mcpServers": {
"a-pathfinder-mcp": {
"url": "https://edge.vinkius.com/vk_preview_AG75gvuUMvODSgOAGPyVSWSujySFpUemL5hIOyAF/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Who it's for
Built for the work A* Pathfinder owners hand off.
If you work with game logic, robotics, or complex simulations, this MCP is for you. It lets your agent calculate precise movement plans across constrained environments. You'll use it when you need to model how an object or character moves from point A to point B.
- 01
Game Developer
Use it to program enemy AI or character movement that must navigate complex, obstacle-filled maps.
- 02
Robotics Engineer
It calculates the movement path for physical robots operating in structured, grid-based environments.
- 03
Simulation Scientist
Run simulations to test how agents react to obstacles or how quickly they can reach a target location.
FAQ
Questions A* Pathfinder owners ask.
- 01
What kind of grids does this MCP handle?
It handles 2D grid environments. You provide the grid structure, and the MCP calculates paths based on the defined coordinates and obstacles within that grid.
- 02
Does it support different movement types?
Yes. You can specify whether your agent moves using 4-directional movement (up, down, left, right) or 8-directional movement (including diagonals).
- 03
What is the difference between the capabilities?
Use analyze_grid_feasibility to check if a path is possible at all. Use find_shortest_path for the single best route, and find_k_shortest_paths if you need several alternative options.
- 04
Do I need to worry about the heuristics?
The heuristics, like Manhattan or Euclidean, guide the search algorithm. Specifying them helps the MCP calculate the path more accurately and efficiently.
- 05
Can I use this with my own custom grid data?
Yes. You provide the grid data directly in your prompt, allowing you to test paths on any custom map structure you define.
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