MidOS MCP Community Library
Wire your coding agent to a hosted library of skill packs, semantic search, and validated patterns instead of scraping random repos.
Overview
MidOS MCP is an MCP server for the Build phase that gives AI agents curated skill packs, semantic search, and validated patterns via HTTP or stdio.
What is this MCP server?
- Streamable HTTP remote at midos.dev/mcp plus PyPI stdio package midos-mcp
- Curated skill packs and validated patterns for AI coding workflows
- Semantic search over community library content
- Dual transport: hosted MCP endpoint or local stdio install
- Versioned MCP server schema (2026.2.23.1)
- Server version 2026.2.23.1
- Remote URL https://midos.dev/mcp (streamable-http)
- PyPI package identifier midos-mcp with stdio transport
Community signal: 8 GitHub stars.
What problem does it solve?
Solo builders waste sessions re-discovering the same agent skills and patterns scattered across GitHub and docs.
Who is it for?
Indie devs who run Claude Code or Cursor daily and want a single MCP hook into a curated skill catalog.
Skip if: Teams that need private, air-gapped knowledge with no hosted remote endpoint.
What do I get? / Deliverables
Your agent can query a maintained community library for packs and patterns while you code, prototype, or refine launch checklists.
- Live MCP connection to MidOS community library
- Queryable skill packs and patterns from your agent session
- Optional local stdio server via midos-mcp
Recommended MCP Servers
Journey fit
Canonical shelf is Build because MidOS is primarily installed to extend agent tooling during implementation, even though you can query it earlier for patterns. Agent-tooling is the right subphase: the server exposes curated knowledge and packs meant to be invoked from Claude Code, Cursor, and similar agents.
How it compares
Curated knowledge MCP library, not a single-purpose integration skill in your repo.
Common Questions / FAQ
Who is MidOS MCP for?
Solo and indie builders using AI coding agents who want centralized access to skill packs and validated patterns.
When should I use MidOS MCP?
Use it when you are building or operating with agents and need semantic search over community-curated skills instead of one-off web searches.
How do I add MidOS MCP to my agent?
Register the streamable-http remote https://midos.dev/mcp or install the midos-mcp PyPI package with stdio transport in your MCP client config.