Explore MCP Servers and Clients

Quizlar is the learning MCP server. It turns whatever source the user brings — a YouTube lecture, a PDF, a URL, a textbook passage, or a pasted block of notes — into flashcards, then runs interactive quizzes with FSRS spaced-repetition scheduling so the material actually sticks. Every tool maps one-to-one to something a real learner does: ingest, quiz, track progress, review what's due. Built as a voice-first tutor (LiveKit + Deepgram + ElevenLabs); the MCP surface exposes the same primitives the voice agent uses internally, so your agent gets production-grade grading, STT-aware answer parsing, and the same FSRS scheduler that powers the consumer app. Three use cases: 1. "Quiz me on X." Call quiz_me(topic) — a composite tool that builds the deck and starts the quiz in one step. Then loop submit_answer → end_quiz. Grading is tier-1 exact match → phonetic fuzz → short LLM fallback (the same pipeline that ships in the voice product). 2. Study from a YouTube lecture. create_deck_from_youtube pulls the transcript, clusters it into concepts, and generates cards proportional to the video length. Poll get_job_status, then run the quiz loop. 3. Daily spaced-repetition review. get_study_recommendations returns exactly the cards due under the user's FSRS schedule, prioritised across all decks. Quizlar is the scheduler of record — your agent executes the plan instead of reinventing one each session. Auth: Bearer token (sk-qz-<32 chars>) for headless installs, or full OAuth 2.1 / DCR / PKCE for one-click clients (Smithery, Claude Connector). Mint keys at https://quizlar.app/settings/api-keys. 22 tools total. Voice and text equal-status. Education-first.

Live access to Henrik Bondtofte's blog — Denmark's leading SEO and GEO consultant. 26 tools: semantic post search, ask_henrik (answers in his own voice), SEO URL audits, AI Overviews & GEO knowledge base, topic authority, term lookups, and book recommendations. 200+ posts in Danish. Also acces to 400 pages from his SEO books.

Free UK SIC code lookup, GICS/ICB cross-classification mapping, and Companies House company search. Covers 731 SIC 2007 codes, 273 GICS entries, 249 ICB entries, 1,235 cross-classification mappings, and 5.6 million UK companies. No API key required.

Cite-able, content-addressed, signed memory of every place on Earth. When the user asks a place-question, is the air bad here? has this site flooded? is this neighbourhood hot? are the lakes safe to swim in? is there a pollen-season jump? what's the elevation? is this farmland?, your agent calls emem_locate then emem_recall, gets a signed fact + receipt, and quotes the receipt. No keys, no signup, no rate limits.

Paid Ads MCP is an AI connector for Google Ads and LinkedIn Ads that lets marketers use ChatGPT, Claude, and other MCP-compatible AI tools to analyze campaign performance, review account structure, compare ads and keywords, surface recommendations, and monitor weekly trends without exporting spreadsheets or logging into multiple platforms. It gives marketing teams a secure way to connect paid media accounts, ask natural-language questions about results, and get faster reporting, diagnostics, and optimization insights across their ad channels.

AI-native payment infrastructure that gives AI agents isolated wallets with programmable spending policies for autonomous USDC stablecoin transactions. 11 MCP tools for Claude Desktop, Cursor, and Windsurf. Tri-rail support: x402 (HTTP-native micropayments), MPP (session-based streaming), and traditional fiat. Non-custodial wallets with Shamir key splitting, sub-second settlement on Polygon PoS, Base, and Tempo. Free tier, no credit card. Website: https://moltpe.com Reference impl (Apache 2.0): https://github.com/umangbuilds/moltpe-agent-payments

Lightrun MCP connects AI coding assistants to live runtime context from production and staging applications for safe code-level debugging without redeploying. It lets MCP-compatible clients discover runtime sources, inspect live expression values, capture call stacks, measure execution duration, count executions, and collect numeric runtime metrics directly from the AI workflow.

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.

Local-first MCP code intelligence server with 37 tools — hybrid search, blast-radius analysis, diff-aware risk-scored review, and bi-temporal memory pinned to git SHAs. Stops AI agents from hallucinating function names that don't exist in your codebase. Published 60-task retrieval benchmark with reproducible harness. MIT.

Provides LLMs with tools to interact with the MASV API. Available Tools: - Package Management - Portal Management - Activity Tracking - Integration Management

Analyze US rental property deals using the IDEAL Scoring v2.0 framework. 5 tools: deal analysis, HUD Fair Market Rents, Schedule E tax checklist, rental metrics calculator, and BRRR strategy checklist.

Description: A transparent desktop overlay that gives your AI agent a physical presence on screen. Your AI picks its own body from a library of avatars, colors, and expressions — you don't choose for it. Windows, $4.99, 7-day free trial, no account required.

ExpenseBot is the first expense management tool on the official MCP Registry. Two MCP servers: @expensebot/mcp-server-auth (authenticated) — 13 tools that work with your real ExpenseBot data: - Search expenses by category, merchant, date, amount - Submit photo/PDF receipts via base64 - Scan Gmail for receipts on demand - Create, list, share, download expense reports - Run deep analytics ("compare Q1 vs Q2 spending") - Add cash expenses without a receipt - Check tax deductibility - Check compliance issues @expensebot/mcp-server (read-only) — answers questions about ExpenseBot for pre-sales/help. Auth: Personal Access Tokens generated from Settings → AI Assistant Tokens. 30-day expiry, revokable, scoped to your account only. CASA Tier 2 certified. Free with any ExpenseBot account (60-day free trial).

The deepidv MCP Server gives AI agents direct access to deepidv's identity verification and anti-fraud platform. Agents can initiate KYC/KYB verification sessions, manage workflows, retrieve bank statement analysis, and query case statuses, all through natural language, without any custom integration work.

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.

# 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

A lightweight BYOK MCP server for Reddit community signal analysis. It returns structured outputs for What Users Like, What Users Don't Like, and Competitors Users Mention from Reddit discussions.

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.

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.

Tells you how you and your Claude agent actually work together. Reads your CLAUDE.md, hooks, skills, memory, and scheduled tasks — then writes you a letter. Three core tools: collab (collaboration scoring + lint), security (secrets scan, prompt-injection surfaces, rule conflicts), and health (orphan jobs, overlap, structural drift). Local-only — no API keys, no data leaves your machine. Source: github.com/bleedmode/dearuser

ComplyMe.AI MCP server provides legal & data protection risk analysis and audits.

Real-time L2 orderbook physics engine for crypto & US equities. Detects institutional spoofing, BUY_ABSORPTION, and LIQUIDITY_EVENT signals with 15-30s lead time over price action. Audited live by Manus AI (0.99 confidence on flash crash detection). The only MCP server with Behavioral Court verdict engine — tells your AI agent not just what the market is doing, but what whales are doing right now.

Institutional-grade crypto & equity orderflow intelligence for AI trading agents. Sub-second L2 orderbook physics, spoofing detection, and liquidity event alerts.

Inistate is a process platform where AI agents and humans share the same workflow primitives — same forms, same state transitions, same audit trail. Connect any MCP client (Claude, Cursor, Gemini CLI, custom agents) to design modules, run state transitions, query entries, and upload files against live Inistate workspaces. Agents work inside a governed state machine with confidence-gated escalation and full reasoning capture (model, sources, prompt hash). Built on FACTSOps and the patented ProcessCanvas notation. No system prompt required — the schema is the prompt.

IP Geolocation MCP server that query the geolocation information using IP2Location.io API. User can query for 1,000 per day without an API key, or 50,000 per month with a free API key.

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.

Find your first SaaS users on Reddit, X, YouTube, and TikTok. Lead-discovery MCP for solo founders.

# 小奇智算 API 能力 | Xiaoqi Intelligent Calculation API Skill GET APIKEY：https://www.xiaoqizhisuan.cn/account.html GET HELP: https://www.xiaoqizhisuan.cn/help.html en: Official Xiaoqi Intelligent Calculation API for BaZi and Qi Men Dun Jia. This service requires XIAOQIZHISUAN_API_KEY credential for authentication. zh: 小奇智算官方API，提供八字、奇门遁甲测算服务，需配置XIAOQIZHISUAN_API_KEY密钥鉴权。 提供专业的奇门遁甲排盘与解盘服务，支持7个MCP工具： # 可用工具 | Available Tools ### 1. bazi_dayun - 八字大运查询 | BaZi Great Fortune Query ``` 价格 | Price: ¥0.2 / time / 次 参数 | Parameters: year (integer, 必填) 出生年（公历） month (integer, 必填) 出生月 day (integer, 必填) 出生日 hour (integer, 必填) 出生时（0-23） xingbie (string, 必填) 性别（"男" / "女"） 返回 | Return: success, cost, balance, bazi, dayun, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_1_bazi_dayun.html ### 2. qimen_paipan - 奇门排盘（JSON 数据）| Qi Men Chart Generation (JSON Data) ``` 价格 | Price: ¥0.5 / time / 次 参数 | Parameters: year (integer, 必填) 年 month (integer, 必填) 月 day (integer, 必填) 日 hour (integer, 必填) 时（0-23） minute (integer, 选填, 默认0) 分 number (integer, 选填, 默认1) 排盘方法（1=拆补法, 2=置润法） 返回 | Return: success, cost, balance, 数据, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_2_qimen_paipan.html ### 3. qimen_paipan_image - 奇门排盘+HTML网页图 | Qi Men Chart Generation + HTML Webpage Chart ``` 参数 | Parameters: year (integer, 必填) 年 month (integer, 必填) 月 day (integer, 必填) 日 hour (integer, 必填) 时（0-23） minute (integer, 选填, 默认0) number (integer, 选填, 默认1) 返回 | Return: success, cost, balance, 数据, html_url, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_3_qimen_paipan_image.html ### 4. qimen_jiepan - 即时盘解析准备 | Immediate Chart Analysis Preparation ``` 价格 | Price: ¥1.0 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) 起盘时间 minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, html_url, system_prompt, user_prompt, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_4_qimen_jiepan.html ### 5. qimen_jiepan_lifetime - 终身盘解析准备 | Lifetime Chart Analysis Preparation ``` 价格 | Price: ¥1.2 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) xingbie (string, 必填) 性别（"男"/"女"） minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, bazi, dayun, html_url, system_prompt, user_prompt, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_5_qimen_jiepan_lifetime.html ### 6. qimen_full - 即时局完整解盘 | Complete Immediate Chart Interpretation ``` 价格 | Price: ¥1.5 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, html_url, system_prompt, user_prompt, jiepan_result, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_6_qimen_full.html ### 7. qimen_full_lifetime - 终身局完整解盘 | Complete Lifetime Chart Interpretation ``` 价格 | Price: ¥2.0 / time / 次 参数 | Parameters: year, month, day, hour (integer, 必填) xingbie (string, 必填) 性别（"男"/"女"） minute (integer, 选填, 默认0) number (integer, 选填, 默认1) question (string, 必填) 返回 | Return: success, cost, balance, bazi, dayun, html_url, system_prompt, user_prompt, jiepan_result, error ``` 实测结果 | real test： https://www.xiaoqizhisuan.cn/examples/example_7_qimen_full_lifetime.html 🔗 https://www.xiaoqizhisuan.cn/mcp

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.

Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.

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.

PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and dimension breakdown across 8 quality dimensions. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: - score_prompt: Free. Grade and percentile for any prompt. No API key needed. - optimize_prompt: $0.025 USDC. Returns optimized prompt with full dimension breakdown. - compare_models: $1.25 USDC. Side-by-side scoring across multiple models. HTTP API (x402-native on Base): - /api/score/free: Free. Grade and percentile, no payment required. - /api/score: $0.025 USDC. Single score, pay-per-call. - /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. - /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. - /api/score/compare: $1.25 USDC. Multi-model side-by-side scoring. - /api/preflight: $0.05 USDC. Lightweight pre-flight quality check. Paste a prompt. Get an optimized version. Ship better work. Cheaper than one bad prompt.

Real-time Swiss grocery shopping over MCP. Search products and compare prices across Migros, Coop, Aldi, Denner, and Lidl, see weekly promotions, and plan multi-store shopping trips with three optimisation strategies. Works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, Cline, Continue).

Convert URLs to PDF, screenshot, or markdown, and convert document and image files, directly from Claude Code, Cursor, Windsurf, and Claude Desktop.

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

Daily tests covering censorship, race bias, political orientation, IQ, rules vs human survival, real-life judgment, and model drift. 16 frontier & widely used models · 7 tests prepared · Censorship Index launching first · raw answers public after each run BenchGecko asks the questions people actually worry about: what AI refuses, who it protects, what it believes, and whether it changes over time.