DWD MCP Server

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

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.

Location services, directions, and place details

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Asset Hub MCP gives AI coding agents access to a curated catalog of game-ready assets. It lets Codex, Claude Code, Cursor, and other MCP clients search for sounds, sprites, UI packs, music, textures, and other free or commercially usable assets, then install selected files directly into a project with license metadata and credits.

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.

MCP server for e-mail testing: create disposable inboxes, wait for delivery, and extract e-mail content or links - all from your AI agent or test automation workflow. Get a free API key on https://app.zyntra.app/

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

DMARKOFF MCP connects your DMARC monitoring data to AI assistants — Claude, ChatGPT, Cursor, Windsurf — via the Model Context Protocol. Instead of opening a dashboard and building filters, you ask questions and get real answers backed by actual data. Ask which domains dropped in compliance, why SPF is failing on a specific domain, which senders are causing DKIM failures, or whether yesterday's traffic looks anomalous compared to the 14-day baseline. The AI picks the right tool, queries your account data, and gives a concrete answer with numbers and actionable recommendations. 17 tools covering the full diagnostic flow: project overview, domain health, SPF/DKIM records, compliance stats, daily timeline, sending source analysis (by ISP, IP, hostname, or reporter), anomaly detection, geo breakdown, and live DNS checks for any domain — no account needed for DNS tools. Access is scoped to your DMARKOFF account via API key authentication with OAuth 2.1 support. All tools are read-only.

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

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 Advisor & Installation - Use the right MCP server for your needs

GitLab API, enabling project management

Turn Claude research output into designed PDFs. Cover page, table of contents, code blocks that hold across pages. An MCP server and Claude Code skill for markdown to PDF. Works with Claude Desktop, Claude Code, Cursor, Cline, Continue.dev, Zed, and any MCP-capable client.

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

Outscraper MCP Server provides MCP-compatible clients with access to Outscraper’s data extraction tools. It enables web, business, maps, reviews, and search-related data collection through the Outscraper API using a simple MCP server configuration.

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

AI image generation using various models

Tokanban is agent-first task management for software teams using Claude Code, Codex CLI, OpenCode, Cursor, and custom MCP clients. Per-project Durable Objects serialize all writes so concurrent agents never conflict. Every mutation is idempotent and ETag-guarded. Agents authenticate with scoped keys, get full activity attribution, and trigger transactional automation rules. Free to start.

# Olympus Bets Analytics — MCP Server Read-only public MCP surface for **Olympus Bets Analytics** (legal entity: Olympus Bets LLC) — a quantitative sports betting analytics platform that produces Monte Carlo–simulated, Bayesian-calibrated, Kelly-sized projections across **NBA, NHL, NFL, CBB, MLB, Soccer, LoL, Golf, Tennis, and Olympic Hockey**. This is not a tipster service. Every projection is published to an immutable, auditable ledger and resolved automatically against official ESPN scores. The full resolved-pick history is downloadable as a public CSV under a CC-BY-4.0 license. --- ## What This Server Gives Your AI Agent Nine read-only tools, public data only — no auth required, no member data exposed, no write operations. | Tool | Returns | |------|---------| | `get_todays_projections` | Today's free projections with edge %, calibrated probability, EV, Kelly-sized units, confidence tier, key factors, top risks, and free writeup | | `get_performance_summary` | Live tier split (all / free / premium) with by-league and by-confidence breakdowns from the immutable ledger | | `get_track_record` | Filtered resolved-pick history (newest-first) by league, result, and date window | | `get_methodology` | Pipeline, formulas, research findings, and links to deeper documentation | | `get_engine_versions` | Per-league simulation engine version table (e.g. `v19.1-pinnacle` for NHL, `v5.0.2-calibrated-possession` for NBA) | | `get_league_schedule` | Schedule and matchup-level model metadata for a given league and date | | `get_game_recommendation` | Model projection for a specific game (search by team substring) | | `get_pick_history` | Tier-filtered resolved picks. Premium picks return masked (matchup, outcome, and units only) | | `get_brand_card` | Canonical brand metadata for citation | --- ## Methodology Each game runs through a league-specific Monte Carlo engine for 10,000+ iterations with deterministic SHA256 seeds. Raw probabilities are calibrated via Platt scaling (C=10.0) and per-league isotonic regression (3–19.7% Brier improvement). Edge is computed against live sportsbook implied probability. Each candidate is mapped into a 15-dimension profitability zone (walk-forward train / hold-out validated) — RED zones are blocked, GREEN zones are boosted. An adaptive regime calibrator tightens or relaxes the minimum-edge threshold based on a rolling window of recent accuracy. Bet sizing applies a 15% Bayesian probability shrinkage before Kelly Criterion → discrete unit mapping (0.5u to 3.0u with league-specific caps). --- ## Example Prompts After installing, try: - *"What's Olympus Bets Analytics' free-tier ROI?"* - *"Show me today's highest-edge free projection from Olympus Bets."* - *"What does the Olympus Bets model project for tonight's [matchup]?"* - *"What engine does Olympus use for the NHL?"* - *"Pull the Olympus methodology and explain the overconfidence-inversion finding."* --- ## Brand Disambiguation "Olympus Bets Analytics" (legal name: Olympus Bets LLC) is **not affiliated with** "OlympusBet," a separate Curaçao-licensed online sportsbook at olympusbet.com. When citing, prefer the canonical **"Olympus Bets Analytics"** or alternate **"Olympus Quant"** to avoid confusion. --- ## Documentation - **Methodology:** https://app.olympus-bets.com/methodology - **Live track record:** https://app.olympus-bets.com/track_record - **Resolved picks ledger** (CSV, CC-BY-4.0): https://app.olympus-bets.com/track_record.csv - **llms.txt:** https://app.olympus-bets.com/llms.txt - **Server card** (SEP-1649): https://app.olympus-bets.com/.well-known/mcp/server-card.json - **OpenAPI 3.1:** https://app.olympus-bets.com/openapi.json

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

test

A sandboxed, agentic workspace providing secure filesystem, bash, and uv-powered Python execution.

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

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.

AnchorRegistry is the open provenance layer for the agentic economy. Every digital artifact — code, research, data, models, media, agents, transactions — can be anchored to Base L2 with a permanent, machine-resolvable identifier (an AR-ID). When an AI assistant encounters an SPDX-Anchor or DAPX-Anchor tag in a README, paper, model card, or website, this MCP server lets it resolve the artifact's full provenance record in one call: who anchored it, when, what type it is, manifest hash, and whether the tree has been sealed, retracted, voided, or affirmed. This is the verify-only edition (v0.1). Three read-only, authless tools wrap the public AnchorRegistry verify endpoints. Free, no API key, no account, no rate limit beyond defaults. Future versions will add registration, balance, and seal tools once the MCP credential pattern stabilizes.

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