Allstacks Analytics MCP
Allstacks MCP is a MCP server that provides 208+ tools for AI-native engineering intelligence through the Allstacks API.
About
Allstacks Analytics MCP Server wraps the Allstacks API as a large tool surface—208 plus tools—for AI-native engineering intelligence. teams and technical founders who already use or trial Allstacks can install the PyPI package (allstacks-mcp 0.1.3) and attach it via stdio MCP to Claude Code, Cursor, or Codex to ask delivery questions in natural language: cycle time, risk hotspots, investment alignment, and similar metrics without clicking through every dashboard tile. Complexity is intermediate because you must provision API credentials and understand which Allstacks entities map to your repos and work tracking. It is not a substitute for git hosting or issue trackers; it aggregates and analyzes data you already feed Allstacks. Use alongside code review and monitoring practices when you outgrow spreadsheet status updates.
- 208+ MCP tools backed by the Allstacks API for engineering intelligence
- PyPI package allstacks-mcp v0.1.3 with stdio transport
- AI-native access to delivery and engineering analytics workflows
- Suited to small teams mirroring enterprise engineering visibility
- Requires Allstacks account/API access—not a standalone demo dataset
Allstacks Analytics MCP by the numbers
- Data as of Aug 10, 2026 (Skillselion catalog sync)
claude mcp add allstacks-mcp -- uvx allstacks-mcpAdd your badge
Show developers this MCP server is listed on Skillselion. Paste this into your README.
| Package | allstacks-mcp |
|---|---|
| Transport | STDIO |
| Auth | None |
What it does
Expose 208+ Allstacks engineering-intelligence tools to your agent for delivery analytics, workflow visibility, and team metrics.
Who is it for?
Best when you're on Allstacks and want agent-driven delivery analytics and intelligence without manual dashboard hunting.
Skip if: Skip if you're without an Allstacks subscription or API access and only need simple GitHub issue counts.
What you get
Your agent can call 208+ Allstacks-backed tools over stdio MCP to answer engineering analytics questions inside the IDE.
- Local stdio MCP server exposing 208+ Allstacks intelligence tools
- Agent-queryable engineering and delivery analytics responses
- Repeatable install path via PyPI identifier allstacks-mcp
By the numbers
- 208+ tools for AI-native engineering intelligence
- Package version 0.1.3 (registryType pypi, transport stdio)
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Engineering-intelligence MCP bridge (208+ tools), not a standalone issue tracker or log aggregator.
FAQ
Who is com.allstacks/allstacks-mcp for?
Technical founders and small teams using Allstacks who want Claude Code, Cursor, or Codex to query engineering intelligence via MCP.
When should I use com.allstacks/allstacks-mcp?
Use it during grow and operate phases when you need delivery analytics, investment views, or engineering metrics inside the agent rather than only in the Allstacks UI.
How do I add com.allstacks/allstacks-mcp to my agent?
Install the PyPI package allstacks-mcp (0.1.3), configure stdio MCP in your client, and provide valid Allstacks API credentials per Allstacks documentation.