Sprintra MCP server

Sprintra MCP Server

AI-native project management with persistent memory for coding agents

Your AI forgets. Sprintra remembers.

What is Sprintra?

Sprintra gives your AI coding agent persistent memory — features, architecture decisions, sprint progress, and project context that survive session resets, token limits, and IDE switches.

The problem: Every AI coding session starts from scratch. Your agent doesn't know what you decided last week, what sprint you're in, or what your teammate built yesterday.

The solution: Sprintra's MCP server connects to Claude Code, Cursor, Windsurf, and any MCP-compatible tool. Your agent reads and writes project context automatically — no copy-paste, no re-explaining.

Quick Start

Option 1: Sprintra Cloud (Recommended)

# Install the CLI (42KB, zero native dependencies)
npm install -g @sprintra/cli

# Authenticate
sprintra login

# Auto-configure your AI tool
sprintra connect

Option 2: Self-Hosted

# Scaffold a complete local project with server + dashboard
npx create-sprintra my-project

# Start the server
cd my-project
npm start

# Server + dashboard at http://127.0.0.1:4000

MCP Configuration

Claude Code

{
  "mcpServers": {
    "sprintra": {
      "command": "npx",
      "args": ["@sprintra/cli", "mcp"]
    }
  }
}

Or run: sprintra connect --tool claude-code

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "sprintra": {
      "command": "npx",
      "args": ["@sprintra/cli", "mcp"]
    }
  }
}

Or run: sprintra connect --tool cursor

Claude Desktop

Add to ~/Library/Application Support/Claude/claudedesktopconfig.json (macOS):

{
  "mcpServers": {
    "sprintra": {
      "command": "npx",
      "args": ["@sprintra/cli", "mcp"]
    }
  }
}

Windsurf

Run: sprintra connect --tool windsurf

HTTP Transport (Remote)

For remote MCP connections (Claude.ai, mobile):

URL: https://api.sprintra.io/api/mcp
Auth: Bearer <your-token>
Transport: HTTP + SSE

17 MCP Tools

Sprintra uses a consolidated tool pattern (inspired by GitHub's MCP server). Each tool accepts a method parameter to select the operation.

Project Management

Knowledge & Decisions

Shortened. The full README is on GitHub.