This server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
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.
Related MCP server: Memory Pickle MCP
# 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 + SSESprintra uses a consolidated tool pattern (inspired by GitHub's MCP server). Each tool accepts a method parameter to select the operation.
Tool | Methods | Description |
| list, create, update, resolve, get_context | Manage projects with tech stack, status, and full context snapshots |
| list, get_bundle, create, update, save_context, get_context | Epic-level work items with acceptance criteria and AI guidance |
| list, create, update, batch_update | Tasks under features — story, task, bug, chore types |
| list, get_current, create, update, assign | Time-boxed iterations with progress tracking |
| list, create, update, generate_notes | Release milestones with auto-generated release notes |
Tool | Methods | Description |
| list, add, supersede, get_conflicts, resolve_conflict | Architecture Decision Records (ADRs) with AI conflict detection |
| list, get, create, update, get_versions, restore_version, add_link, get_graph | Knowledge base with versioning, templates, and cross-references |
| list, add | Quick capture — ideas, research findings, meeting notes |
| list, start, log_message, complete | Brainstorming sessions with AI personas |
Tool | Methods | Description |
| add, remove, update_status, verify | Acceptance criteria management and verification |
| sync, link, unlink, get_status, get_feature_stats | Git commit tracking with AI authorship detection |
| add, remove, get_graph | Feature dependency tracking with cycle detection |
| list, start, end, get_active, list_activity, list_traces, delta | Coding session tracking with context handoff |
| list, create, update, delete | Threaded comments on any entity |
| manage, set, get | Custom metadata fields |
Tool | Methods | Description |
| get_next_work, report_progress, get_guidance, generate_briefing | AI-powered recommendations, progress tracking, and context recovery |
| list, get_story_prs | GitHub PR tracking and auto-linking |
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 --allSkill | Trigger | Description |
Capture Feature |
| Break down an idea into features, stories, and criteria |
Record Decision |
| Create an Architecture Decision Record |
Standup Report |
| Auto-generate standup from recent work |
Wrap Session |
| Save context for seamless session resume |
Sprint Review |
| Review sprint progress with metrics |
Brainstorm |
| AI-powered brainstorming with personas |
Implement Feature |
| Start implementation with full context loaded |
Sprint Planning |
| Plan sprints with AI recommendations |
Sprintra includes a full web dashboard with 20+ views:
Kanban Board — drag-and-drop story management
Sprint Tracker — progress bars, velocity charts, burndown
Roadmap — phase timeline with feature grouping
Knowledge Base — Confluence-style docs with versioning
Decisions — ADR log with conflict detection
Reports — burndown, velocity, DORA metrics
Activity Feed — real-time project activity
Cloud: app.sprintra.io
Self-hosted: http://127.0.0.1:4000 after npm start
Plan | Price | Includes |
Solo Pilot | Free forever | 2 projects, unlimited stories, all MCP tools, all skills |
Team | $5/seat/month | 10 projects, AI features, team collaboration, priority support |
Enterprise | Custom | On-premise, dedicated infra, custom SLA |
Website: sprintra.io
Documentation: sprintra.io/docs
MCP Tools Reference: sprintra.io/docs/mcp-tools
Skills Guide: sprintra.io/docs/skills
CLI Reference: sprintra.io/docs/cli
npm: @sprintra/cli
Blog: sprintra.io/blog
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.
This server cannot be deployed
Project management shared by people and AI agents, with persistent project state through MCP.
AI-native project management + agent memory: tasks, sprints, risk, burnout, knowledge search.
Persistent memory, knowledge graph, task management and more for AI agents via MCP.
Team memory for AI coding agents and code reviews, reviewed by humans and served over MCP.
