"Bootstrap" matching MCP servers:

Provides tools for analyzing Bootstrap Studio .bsdesign project files, generating Bootstrap 5 component code, and looking up Bootstrap documentation.

A TypeScript-based MCP server that provides backend API handling and facilitates communication between microservices. Features an organized structure with controllers, routes, and models for easy extensibility and maintenance.

Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.

Official MCP server for Scorezilla (leaderboards for games). Your AI coding assistant can bootstrap a leaderboard, inspect games and boards, read top-N standings, and paste ready-to-run SDK integration code — without leaving the editor.

A reusable MCP server providing shared, versioned context across AI agents and devices via a private GitHub workspace, with tools to discover projects, bootstrap, query, and close out task state.

Multi-framework MCP server that enables AI to generate clean, semantic CSS class names (e.g., btn-primary) instead of verbose utility strings, with support for Tailwind, Bootstrap, UnoCSS, Tachyons, SSR safety, and minification for token savings.

TypeScript stdio MCP server for operating Docker-based local-ydb deployments from AI coding agents. Supports local and SSH-backed profiles, bootstrap, diagnostics, auth hardening, schema permissions, storage workflows, dump/restore, upgrades, and plan-first mutating operations.

Enables AI assistants to search, retrieve, and assemble Bootstrap UI components from the Webpixels library. It provides tools to explore component categories, fetch HTML snippets, and build complete web pages.

A Model Context Protocol server that enables unified fuzzy searching across multiple icon libraries (Bootstrap, Feather, Octicons, Tabler) with intelligent caching and comprehensive filtering options.

MCP server for a self-hostable typed knowledge graph, giving AI agents durable structured memory with typed nodes, links, and flexible payloads. Enables agents to bootstrap, manage, and evolve their ontology via MCP tools.