Allstacks Analytics MCP Server
Expose 208+ Allstacks engineering-intelligence tools to your agent for delivery analytics, workflow visibility, and team metrics.
Overview
Allstacks MCP is a Grow-phase MCP server that provides 208+ tools for AI-native engineering intelligence through the Allstacks API.
What is this MCP server?
- 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
- 208+ tools for AI-native engineering intelligence
- Package version 0.1.3 (registryType pypi, transport stdio)
What problem does it solve?
Delivery metrics live in Allstacks dashboards your agent cannot query, so engineering intelligence stays disconnected from coding workflows.
Who is it for?
Small engineering-led startups on Allstacks who want agent-driven delivery analytics and intelligence without manual dashboard hunting.
Skip if: Builders without an Allstacks subscription or API access who only need simple GitHub issue counts.
What do I get? / Deliverables
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
Recommended MCP Servers
Journey fit
Engineering intelligence compounds in Grow when you optimize throughput, with Operate monitoring and Ship review as natural follow-ons. Analytics is the primary shelf for Allstacks-style delivery and engineering metrics APIs surfaced through MCP.
How it compares
Engineering-intelligence MCP bridge (208+ tools), not a standalone issue tracker or log aggregator.
Common Questions / FAQ
Who is com.allstacks/allstacks-mcp for?
Technical solo 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.