
CAIT
Wire a modular MCP toolkit into Claude Code or Cursor when you want extra assistant capabilities without building one-off servers yourself.
Overview
Core AI Toolkit (CAIT) is a MCP server for the Build phase that modularly extends AI coding assistants with additional practical tool capabilities over stdio.
What is this MCP server?
- Modular Core AI Toolkit MCP server (version 1.0.1) via stdio MCPB package
- Designed to extend AI assistants with practical, composable capabilities
- Official MCP server schema 2025-12-11 with pinned file SHA256 for the release artifact
- stdio transport fits Claude Code, Cursor, and other MCP-capable clients
- Packaged release URL on GitHub releases for repeatable installs
- Server version 1.0.1 with stdio transport and MCPB registry type
- Published MCP server schema dated 2025-12-11
- Release artifact fileSha256 pinned in server.json metadata
What problem does it solve?
Indie builders waste time stitching together ad hoc MCP servers when they just need a dependable modular toolkit hooked into their agent.
Who is it for?
Solo builders standardizing MCP setup while shipping agent-assisted products who want a modular toolkit server rather than a single-purpose connector.
Skip if: Teams that need a documented, single-domain API integration (payments, email, one SaaS) with explicit tool names in README—pick a focused server instead.
What do I get? / Deliverables
After you register CAIT in your MCP client, your assistant can reach a bundled toolkit surface through one stdio server entry instead of many one-off configs.
- Registered CAIT stdio MCP server in your agent config
- Single modular toolkit endpoint for assistant tool calls
- Version-pinned MCPB install aligned with catalog metadata
Recommended MCP Servers
Journey fit
CAIT ships as an installable MCP package meant to extend coding agents during active product work, so the canonical shelf is Build with agent-tooling. It is distributed as an MCPB stdio server whose purpose is broadening what your agent can do in the editor, which matches agent-tooling rather than a single API integration.
How it compares
Modular MCP toolkit server, not a single-task agent skill or one API wrapper.
Common Questions / FAQ
Who is Core AI Toolkit (CAIT) for?
It is for indie builders and small teams using Claude Code, Cursor, or other MCP clients who want a modular server to extend assistant capabilities during development.
When should I use CAIT?
Use it during Build when you are configuring agent-tooling and want one MCPB-packaged stdio server that broadens what your coding agent can invoke.
How do I add CAIT to my agent?
Add the CAIT MCPB stdio server from the v1.0.1 GitHub release to your client MCP config per your editor docs, using the published package identifier and SHA256 from server metadata.