terminal-love-mcp

terminal-love-mcp

MCP server that scrapes Terminal Trove to search CLI/TUI tools and retrieve design references like screenshots and install commands for agentic UI research.

Category
Visit Server

README

terminal-love-mcp

license node MCP

MCP server over Terminal Trove — search the catalog and pull TUI/CLI design references (screenshots, demo GIFs, install commands, metadata) so an agent can study real terminal UIs while building one.

Built for wiring into the Vanta agent, but works with any MCP client.

Why

Terminal Trove curates hundreds of CLI/TUI tools, each page carrying the gold you want when designing a terminal UI: real screenshots + demo GIFs, the GitHub repo, language, license, platform support, and copy-pasteable install commands. There's no public API, so this server scrapes the (clean, stable) HTML and the site's Typesense search endpoint, caches politely to disk, and exposes everything as MCP tools — including returning screenshots as viewable image blocks so the agent can actually see the layout.

Install

npm install
npm run build

Wire into Vanta (or any MCP client)

Add to your client's MCP config (e.g. .mcp.json / claude_desktop_config.json):

{
  "mcpServers": {
    "terminal-love": {
      "command": "node",
      "args": ["/Users/jasonpoindexter/Documents/GitHub/_tools/terminal love mcp/dist/index.js"]
    }
  }
}

Optional env (all have sane defaults — see .env.example):

  • TTROVE_CACHE_DIR — where HTML/catalog cache lives (default: OS tmp)
  • TTROVE_CACHE_TTL_MS — cache lifetime (default 6h)
  • TTROVE_LOG_LEVEL — pino level (default info; logs go to stderr, never stdout)
  • GITHUB_TOKEN — raises the rate limit for get_repo_stats

Tools

Collection-returning tools share one shape: { count, items, ...context } (e.g. search_tools{ query, count, items }, browse_category{ category, count, items }). Single-entity tools (get_tool, get_repo_stats) return the object directly.

Tool Input Returns
get_tool slug Full details: description, GitHub, language, license, platforms, tags, install commands, screenshot URLs
search_tools query, limit? Live search results (Terminal Trove Typesense) as tool summaries
related_tools slug, limit? Tools sharing the input's primary category
get_repo_stats github_url? | slug? GitHub stars/forks/issues/language/license/topics/pushedAt
list_categories All 70+ categories (slug, name, url)
browse_category category, limit? Tools in a category (name + description)
newly_added limit? Recently added tools (/new/)
tool_of_the_week Current pick + archive
list_screenshots slug Screenshot/GIF URLs + dimensions for a tool
view_screenshot slug?+index? | url? The image itself as a base64 MCP image block (CDN-host allowlisted, 8 MB cap)
sync_catalog force? Build/refresh the full local catalog index from the sitemap
search_catalog query, limit? Offline fuzzy search across the whole catalog (after first sync)

Typical flow for Vanta

  1. search_tools / search_catalog / browse_category → find candidate TUIs
  2. get_tool → read structure, install, screenshot URLs
  3. view_screenshot → actually see the layout to learn from
  4. get_repo_stats → gauge maturity/popularity

Development

npm run dev        # run the server via tsx (stdio)
npm test           # vitest (parsers tested against saved HTML fixtures)
npm run typecheck
npm run smoke      # build + end-to-end stdio smoke test against the live site
npm run demo       # build + simulate the full Vanta research flow
npm run verify     # build + assert every tool against the LIVE site (drift guard, exits non-zero on failure)
npm run inspect    # open the MCP Inspector

Design notes

  • stdio transport — stdout is the JSON-RPC stream; all logging is forced to stderr.
  • Polite scraping — 6h disk cache, custom user-agent, retry-with-backoff, 15s timeout.
  • Pure parsers — all HTML parsing lives in pure functions tested against fixtures in src/features/*/__fixtures__/, so a Terminal Trove markup change is caught by a failing test.
  • See DECISIONS.md for locked architectural choices and PARKED.md for deferred ideas.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured