Sprintra

io.github.Sprintra-ioPublished by GitHub account Sprintra-iov1.0.4Updated Oct 24, 2026

The project brain for AI coding agents — memory, decisions, sprints, knowledge base via MCP.

Overview

AI-generated overview

Sprintra is an AI-native project management server that gives coding agents persistent memory of projects, features, sprints, decisions and documents.

What you can do
Manage projects, features, stories, sprints and releases, including context snapshots and release notes generation. Record and supersede architecture decisions, keep a versioned knowledge base of documents, capture notes and run brainstorming sessions. Track acceptance criteria, feature dependencies, Git commits and pull requests, work sessions and comments. Get AI recommendations on what to work on next, report progress, generate briefings and recover context after a session reset.
When to use it
Useful when an AI coding agent keeps losing project context between sessions, IDE switches or token limits, and you want decisions, sprint state and feature context stored and recalled automatically. Also fits teams that want lightweight agile tracking with ADRs and a knowledge base alongside their code.
Requirements
Runs as a remote HTTP endpoint with OAuth bearer authentication, or locally via npx as a stdio process. Local self-hosting needs Node.js and a database: SQLite in local mode or a PostgreSQL connection string in saas mode. An optional Google Gemini API key enables embedding-based decision conflict detection. A Sprintra account is needed for the cloud option.
Before you install
The server reads and writes project data: it creates and updates projects, features, stories, sprints, documents, decisions, comments and work sessions, and can delete comments and criteria. Cloud use sends project context to Sprintra's servers and requires OAuth credentials. The PostgreSQL connection string and Gemini API key are secrets that should be scoped and kept out of shared configuration. Paid Team and Enterprise plans exist beyond the free tier.

Installation

In SourceWeft

  1. Open Sprintra in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.Sprintra-io%2Fsprintra/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "sprintra": {
      "type": "http",
      "url": "https://api.sprintra.io/api/mcp"
    }
  }
}

README

[Sprintra Logo]

Sprintra MCP Server

AI-native project management with persistent memory for coding agents

[npm version] [npm downloads] [website] [docs]

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)

bash
# Install the CLI (42KB, zero native dependencies)npm install -g @sprintra/cli
# Authenticatesprintra login
# Auto-configure your AI toolsprintra connect

Option 2: Self-Hosted

bash
# Scaffold a complete local project with server + dashboardnpx create-sprintra my-project
# Start the servercd my-projectnpm start
# Server + dashboard at http://127.0.0.1:4000

MCP Configuration

Claude Code

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

Or run: sprintra connect --tool claude-code

Cursor

Add to .cursor/mcp.json:

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

Or run: sprintra connect --tool cursor

Claude Desktop

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

json
{  "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/mcpAuth: 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

ToolMethodsDescription
projectslist, create, update, resolve, get_contextManage projects with tech stack, status, and full context snapshots
featureslist, get_bundle, create, update, save_context, get_contextEpic-level work items with acceptance criteria and AI guidance
storieslist, create, update, batch_updateTasks under features — story, task, bug, chore types
sprintslist, get_current, create, update, assignTime-boxed iterations with progress tracking
releaseslist, create, update, generate_notesRelease milestones with auto-generated release notes

Knowledge & Decisions

ToolMethodsDescription
decisionslist, add, supersede, get_conflicts, resolve_conflictArchitecture Decision Records (ADRs) with AI conflict detection
documentslist, get, create, update, get_versions, restore_version, add_link, get_graphKnowledge base with versioning, templates, and cross-references
noteslist, addQuick capture — ideas, research findings, meeting notes
sessionslist, start, log_message, completeBrainstorming sessions with AI personas

Tracking & Git

ToolMethodsDescription
criteriaadd, remove, update_status, verifyAcceptance criteria management and verification
gitsync, link, unlink, get_status, get_feature_statsGit commit tracking with AI authorship detection
dependenciesadd, remove, get_graphFeature dependency tracking with cycle detection
work_sessionslist, start, end, get_active, list_activity, list_traces, deltaCoding session tracking with context handoff
commentslist, create, update, deleteThreaded comments on any entity
custom_fieldsmanage, set, getCustom metadata fields

AI Intelligence

ToolMethodsDescription
aiget_next_work, report_progress, get_guidance, generate_briefingAI-powered recommendations, progress tracking, and context recovery
pull_requestslist, get_story_prsGitHub PR tracking and auto-linking

Example Prompts

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?"

8 AI Skills (Slash Commands)

Install workflow skills for guided project management:

bash
sprintra skills install --all
SkillTriggerDescription
Capture Feature/capture [idea]Break down an idea into features, stories, and criteria
Record Decision/decide [topic]Create an Architecture Decision Record
Standup Report/standupAuto-generate standup from recent work
Wrap Session/wrapSave context for seamless session resume
Sprint Review/sprint-reviewReview sprint progress with metrics
Brainstorm/brainstorm [topic]AI-powered brainstorming with personas
Implement Feature/implement [id]Start implementation with full context loaded
Sprint Planning/sprint-planPlan sprints with AI recommendations

Dashboard

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

Pricing

PlanPriceIncludes
Solo PilotFree forever2 projects, unlimited stories, all MCP tools, all skills
Team$5/seat/month10 projects, AI features, team collaboration, priority support
EnterpriseCustomOn-premise, dedicated infra, custom SLA

Links

License

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.

Source: README.md at commit 4e7e71e

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.4LatestSep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts