에이전트 강화
게시자의 자체 URL입니다. PlugMCP 엔드포인트가 아닙니다.
Host a copy with our keys and logs.
https://api.sprintra.io/api/mcp위의 Claude 버튼을 누르면 이름과 URL이 채워진 상태로 Claude가 열립니다. 확인은 Claude에서 직접 해야 합니다.
claude mcp add --transport http io.github.sprintra-io-sprintra https://api.sprintra.io/api/mcpRun in a terminal.
{ "mcpServers": { "io.github.sprintra-io-sprintra": { "command": "npx", "args": [ "-y", "mcp-remote", "https://api.sprintra.io/api/mcp" ] } }}claude_desktop_config.json
원격 URL인가요, 내 컴퓨터에서 실행하는 명령인가요? 두 설치 방식의 차이
PlugMCP에서 실행
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
실행게시자 제공
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 project brain for AI coding agents — memory, decisions, sprints, knowledge base via MCP.
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.
# Install the CLI (42KB, zero native dependencies)
npm install -g @sprintra/cli
# Authenticate
sprintra login
# Auto-configure your AI tool
sprintra connect
# 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
{
"mcpServers": {
"sprintra": {
"command": "npx",
"args": ["@sprintra/cli", "mcp"]
}
}
}
Or run: sprintra connect --tool claude-code
Add to .cursor/mcp.json:
{
"mcpServers": {
"sprintra": {
"command": "npx",
"args": ["@sprintra/cli", "mcp"]
}
}
}
Or run: sprintra connect --tool cursor
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"sprintra": {
"command": "npx",
"args": ["@sprintra/cli", "mcp"]
}
}
}
Run: sprintra connect --tool windsurf
For remote MCP connections (Claude.ai, mobile):
URL: https://api.sprintra.io/api/mcp
Auth: Bearer <your-token>
Transport: HTTP + SSE
Sprintra uses a consolidated tool pattern (inspired by GitHub's MCP server). Each tool accepts a method parameter to select the operation.
Once connected, try these in Claude Code or Cursor:
"Create a Sprintra project for this repo"
"Capture a feature: user authentication with OAuth and email/password"
"What should I work on next?"
"Record a decision: we chose PostgreSQL over MongoDB for relational order data"
"Give me a standup report"
"What changed since my last session?"
Install workflow skills for guided project management:
sprintra skills install --all
Sprintra includes a full web dashboard with 20+ views:
Cloud: app.sprintra.io
Self-hosted: http://127.0.0.1:4000 after npm start
The Sprintra MCP server documentation in this repository is MIT licensed. The Sprintra server, dashboard, and CLI are proprietary software — see sprintra.io/pricing for plans.
The project brain for AI coding agents — memory, decisions, sprints, knowledge base via MCP.
{ "mcpServers": { "io.github.sprintra-io-sprintra": { "url": "https://api.sprintra.io/api/mcp", "headers": {} } }}도구
아직 도구 목록이 없습니다. 원격 서버는 첫 상태 확인 후에 도구 목록이 생깁니다.
FAQ
이 페이지에서 Cursor, Claude Desktop, Claude Code 또는 VS Code용 http 설정을 복사합니다. PlugMCP 프록시가 아니라 게시자의 설치 방식을 사용합니다.
게시자가 등록한 환경 변수: VIBEPILOT_MODE, SUPABASE_DATABASE_URL, GEMINI_API_KEY.
Sprintra에는 HTTP로 연결합니다.
마지막 확인: 2026-11-09. The project brain for AI coding agents — memory, decisions, sprints, knowledge base via MCP.