Stele
Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
Install
Run one of the commands below, then add the client config underneath.
Streamable HTTPhttps://app.stele-ai.dev/api/mcp
Client configuration
Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.
mcpServers{
"mcpServers": {
"stele": {
"url": "https://app.stele-ai.dev/api/mcp"
}
}
}
About this server
Stele is listed in the Knowledge & Memory category of the MCPNav directory. It is distributed as Streamable HTTP and can be loaded by any client that speaks the Model Context Protocol.
Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.
Frequently asked questions
What is the Stele MCP server?
Stele is an MCP server by stele-ai. Shared project memory for AI coding agents: decisions, lessons, risks and tasks in one graph.
How do I install Stele?
Install it with: https://app.stele-ai.dev/api/mcp. Then add the JSON config to your client's MCP settings and restart the client.
Is Stele free to use?
The MCP server itself is free to install. The source is public on https://github.com/Stele-Dev/stele-mcp-connector. Any third-party API it calls (such as a search or maps API) may require its own key and billing.
Which clients support Stele?
Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.