Stele MCP MCP server

Stele provides shared, persistent project memory for AI coding agents, allowing them to read decisions, lessons, risks, and tasks before acting and write back learnings. It coordinates work across multiple agents, traces project history, and ensures data consistency through a self-repairing graph structure.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-05Operated by Stele

MCP endpoint (Streamable HTTP)

https://app.stele-ai.dev/api/mcp

Vendor documentation

What you can do with it

Read project decisions and risks before coding
Write back lessons and task updates to shared memory
Coordinate work to prevent duplicate agent efforts
Trace project history and decision rationale

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http stele-mcp https://app.stele-ai.dev/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add stele-mcp --url https://app.stele-ai.dev/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable stele-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "stele-mcp": {
      "url": "https://app.stele-ai.dev/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "stele-mcp": {
      "type": "streamableHttp",
      "url": "https://app.stele-ai.dev/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start stele-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "stele-mcp": {
      "type": "http",
      "url": "https://app.stele-ai.dev/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http stele-mcp https://app.stele-ai.dev/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "stele-mcp": {
      "url": "https://app.stele-ai.dev/api/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "stele-mcp": {
      "serverUrl": "https://app.stele-ai.dev/api/mcp"
    }
  }
}

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