Powerdrill

MCP server for human-in-the-loop surveys, A/B preference tests, ratings, and rankings. Get real human feedback inside Claude Code, Claude Desktop, Cursor, Windsurf, and any MCP client

An MCP server that provides a tool for sending transactional emails via Mailtrap

A Serper MCP Server

Repository management, file operations, and GitHub API integration

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

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

BenchGecko MCP Server A Model Context Protocol (MCP) server that provides access to AI model benchmarks, inference pricing, and provider data. Built on data from BenchGecko, the data layer of the AI economy. Features Model Rankings - Search and explore thousands of AI models across 128 evaluation suites Cross-Provider Pricing - Find the cheapest inference for any model, compared across every major provider Provider Directory - Every major AI inference provider with availability and pricing details Benchmark Scores - Comprehensive evaluation suite tracking covering coding, math, reasoning, and more

Lightweight MCP server for providing user prompts defined in Markdown with argument support.

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Location services, directions, and place details

Web content fetching and conversion for efficient LLM usage

Autonomous AI browser testing. Give Testorax a URL and it crawls your app, generates test scenarios, runs them in real browsers, and returns a bug report with screenshots. No test code to write. Works with any deployed web app.

hardcover-mcp connects your Hardcover library to AI assistants like Claude and Copilot. Search for books, update your reading status, manage lists, explore series — all through natural conversation instead of clicking through menus.

MCP server for AI industry intelligence: real-time AI news, service status, model pricing, and 15 paid premium tools (routing, news search, history series, cost projection, forecasting, provider deep-dive, model comparison, webhook watches). Pay-per-call in USDC on Base mainnet, no accounts. Already in the official MCP registry as ai.tensorfeed/mcp-server.

scratchpad-mcp is an MCP server that gives AI agents persistent, token-efficient storage. It solves a specific waste problem: agents constantly re-read files they've already seen, re-summarize documents they've already processed, and re-load context they've already understood. Every one of those round-trips burns tokens for no new information. This server fixes that with eight tools designed around how agents actually work: Versioned writes. write_file automatically versions every write and keeps the 10 most recent versions per file. Storage is append-only on success and atomic on failure partial writes can't corrupt state. Structured diffs. read_file accepts a since_version parameter and returns a JSON line-diff against that prior version instead of the full content. Agents that have already seen v1 can ask "what changed in v3?" and get a small structured payload they can reason about, not the entire file again. Append-only logs. append_log and read_log give agents an event-stream they can replay. Cursor-based pagination (since_entry + last_entry_id + has_more) means an agent can checkpoint where it left off and resume cheaply. On-demand summaries. summarize_file calls Claude Haiku to summarize files over ~2000 estimated tokens. Summaries are cached per file version, so repeat calls on an unchanged file cost nothing. The threshold is enforced server-side you can't accidentally pay to summarize something small. Per-agent isolation. Every operation is scoped by an agent_id parameter, so one server instance can serve many agents without leaking state between them. Storage limits. 1 MB per file write, 64 KB per log entry, 1000 files / 100k log entries / 100 MB total per agent sane multi-tenant guardrails out of the box. Backed by a single SQLite file (Postgres migration is on the roadmap). All SQL is parameterized, paths are validated against a strict allowlist, and the security model is documented honestly it's safe for one-user-per-process deployments today, and the V2 plan derives agent_id from the caller's API key for true multi-tenancy. Build agents that remember what they've already seen.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

AI-native platform that automates Spanish building code compliance and technical regulations for the AECO sector

Discover tabletop gaming events, venues, and games — Magic: The Gathering, Lorcana, Pokemon, Flesh and Blood, Warhammer, board games, and RPG sessions across ~16,000 venues. Six tools: 3 read (search events / search venues / search games) plus 3 write (RSVP, register a user, create an event) gated by personal access tokens. Live remote MCP at https://mcp.tavernfinder.com/mcp. No install — just paste the URL into your MCP client.

Production-grade MCP server that opens persistent SSH sessions and exposes safe, structured tools for command execution, file operations, transfers, tunnels, package and service management, metrics, resources, and guided prompts. Secure by default: strict host-key verification, root login disabled, raw sudo policy-gated, destructive commands denied unless explicitly allowed.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Web and local search using Brave's Search API

MCP server for the Pepesto's Grocery Shopping API - give your agent the ability to turn any recipe (a URL, plain text, or a photo) into a matched basket of real supermarket products with live prices, across 26 European supermarkets. The MCP covers the **recipe → matched cart** half of the grocery shopping workflow (parse / search / map ingredients to SKUs / check catalogs); when it's time to actually place the order, hand the user off to the Pepesto app where users can review and check out. Supported European Supermarkets: Sainsbury's - sainsburys.co.uk ASDA - asda.com Morrisons - groceries.morrisons.com Waitrose - waitrose.com Tesco - tesco.com Albert Heijn - ah.nl Jumbo - jumbo.com Plus NL - plus.nl Rewe - shop.rewe.de Coop CH - coop.ch Migros - migros.ch Farmy - farmy.ch Aldi CH - aldi-now.ch Colruyt - colruyt.be Delhaize - delhaize.be Tesco IE - tesco.ie SuperValu - shop.supervalu.ie Dunnes - dunnesstoresgrocery.com Esselunga - spesaonline.esselunga.it Conad - spesaonline.conad.it Nemlig - nemlig.com Meny - meny.no Frisco - frisco.pl Auchan PL - zakupy.auchan.pl Bulmag - bulmag.org eBag - ebag.bg

Browser automation and web scraping

Real-time gold price API + MCP server. 8 tools: get_spot_price, list_commodities, get_metadata, get_historical, search_news, search_docs, get_prediction_market_view, get_prediction_market_arb. Pyth + WGC + CME + Stooq sources, prediction-market view layered on top. Free tier available; Pro tier ($50/mo) for futures + multi-asset (silver, copper). MCP available on every tier, no paywall on AI agent integration.

Local-first memory firewall and MCP server for AI agents. Audrey gives coding agents recall, memory capsules, preflight checks, reflexes, validation, tool-trace learning, contradiction handling, and SQLite/sqlite-vec storage.

The GitKraken MCP Server turns your AI assistant into a context-aware development partner by connecting it to git history, branches, issues, pull requests, and multi-repo workflows through GitKraken. It works with all the providers you would expect from the GitKraken software suite such as GitHub, GitLab, Azure DevOps, Bitbucket, Jira and more. Built by the team behind GitLens, the Git tool that 48 million developers chose, from first-time contributors to enterprise teams at Netflix and Adobe.

QueueSim is a free MCP server that gives Claude, Cursor, and any MCP-speaking AI the ability to run real discrete event queueing simulations. Nine tools cover direct M/M/c, four preset scenarios (call center, ER, coffee shop, single server), staffing recommendations, scenario comparisons, theory explainers, and result interpretation. By ChiAha — 35 years of Discrete Event Simulation.