Babashka MCP Server

Search and fetch icons from 200,000+ icons across 100+ open-source libraries. Supports Material Design, Lucide, Heroicons, Phosphor, Tabler, Font Awesome, and more. No API key required.

Persistent memory and shared context for AI coding tools. Two local MCP servers give every AI coding tool a shared, permanent memory of your project across sessions and tools.

Web3 founder diligence: contract audit, jurisdiction matching, fund discovery, portfolio comparison, scoring. Free, open source.

An MCP (Model Context Protocol) server that generates advanced mock 2D PNG assets for games prototypes — directly from any MCP-compatible AI client such as Claude Desktop. This MCP is engine-agnostic and works with any game engine that supports PNG import: Godot Unity Unreal Engine GameMaker Construct RPG Maker And many more... Create placeholder sprites, UI elements, health bars, spritesheets, and more with full support for gradients, patterns, transparency, text rotation, and auto-scaling — all without opening an image editor. Each generated PNG embeds rich JSON metadata (dimensions, color, shape, description) directly in its EXIF data, so AI models without vision can still understand what an asset contains.

Five live data tools for AI agents — company hiring signals (Greenhouse/Lever/Ashby), SEC EDGAR filings, academic papers (OpenAlex), GitHub repos, and Hacker News — as flat, citation-ready JSON. Hosted on Apify; pay-per-result billing to the caller's own Apify account, empty results cost $0.

Generates high-quality unit tests for Python code with a coverage before/after report on every run. Derives concrete edge cases (None inputs, numeric boundaries, empty collections, exception paths) and returns ready-to-run pytest files with external I/O automatically mocked. Free tier: 100 executions. Pro: $19/month.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

Open source SQL-native query and provisioning engine for cloud and SaaS infrastructure. Ships as a single signed binary with MCP tools for provider discovery, schema exploration, queries, and lifecycle operations.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Know what every affiliate link actually earns, and fix what's bleeding revenue. See revenue per article, catch dead links before they cost you, and ask it anything in plain English. Works on any site.

Retrieving and analyzing issues from Sentry.io

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Puter MCP lets your AI tools (Claude Code, Codex, or any other MCP-compatible client) interact with your Puter resources: managing files, publishing websites, deploying workers, and more.

AI image generation using various models

Write notes to Flomo

Remote MCP server over 33,000+ clinician-governed, ICD-11/ICF-grounded child-development answers (autism, speech, ADHD, milestones) with intent-aware resolution and AbilityScore escalation.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

MCP server to provide Figma layout information to AI coding agents like Cursor

Healthy Food MCP is a public MCP server that gives AI agents structured access to healthy recipe content. It lets Claude, Cursor, Gemini, and other MCP-compatible clients browse recipes by calorie category, diet group, meal type, macros, and keywords. The server includes tools for listing recipe categories, exploring diet and meal groups, browsing available recipe files, fetching full structured recipes, and searching the recipe collection. It is designed as a practical example of how MCP can be used beyond developer tools — turning curated food knowledge into something AI agents can query, understand, and use in real conversations. Healthy Food MCP is powered by Vectoralix and includes connection metadata, plugin manifests, reusable skills, documentation, assets, and validation scripts for easier installation and testing.

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

Local-first agent memory MCP — Claude Code, Cursor, OpenAI Codex, and Gemini CLI share one SQLite brain. 6-layer structured memory (goal/context/emotion/implementation/caveat/learning), drift detection with pre-action re-injection guard, and an AST-aware diff cache saving 50-99% tokens on file re-reads. npx linksee-memory-setup — one command.

Browser automation and web scraping

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

MCP server for Wundervault zero-knowledge secret management. Exposes vault secrets to AI agents via the Model Context Protocol — secrets are decrypted server-side and never returned to the agent in plaintext.

Swipe-to-review GitHub PRs with AI context. Paste a repo URL, get open PRs as a card stack with risk scores, AI summaries, similar past changes, and contributor history. Works as a Claude MCP plugin — review PRs directly from Claude Desktop or Cursor without a browser. 12 tools including risk scoring, semantic similarity search, caller lookup, and test coverage detection.