Enables Claude to read recent Garmin training history and wellness data and to create, update, or remove structured workouts on an intervals.icu calendar so they sync to Garmin Connect and a watch.

Enables Claude to read recent activities and wellness data, then design, create, update, and delete structured workouts that sync through intervals.icu to Garmin Connect and the user's watch.

Enables local access to personal banking data such as accounts, balances, transactions, and CSV exports, with optional preview and confirmation of transfers between the user's own accounts, including credit cards and pensions. Requires Node.js 22+, a customer account, and a personal API client with BankID login.

Free, rules-based checks for e-commerce product pages: AI shopping readiness (structured data, reviews, return and shipping terms, GTINs, AI crawler access), Google Merchant Center compliance, store SEO audit and Shopify checkout deadlines. No AI calls, nothing stored.

Gives any MCP client read-only access to Hyperliquid HIP-4 outcome market data from every deployer, including order books, fair lines with their sources, rule comparisons across deployers listing the same question, and the newest listings. Also surfaces fee-adjusted edge figures and listing order so users can scan markets, price questions, and check rule consistency.

Enables Claude to read your own Garmin Connect data—activities and exact pace splits, VO2 max and training effect, sleep, HRV, Body Battery, stress, weight and more—through Garmin's official Personal API, with no password or scraping. Access is read-only and runs entirely on your machine, so you can ask natural-language questions about training and recovery.

Enables Claude to read intervals.icu training data — wellness metrics, completed activities with per-lap and time-series detail, and planned events with planned-versus-completed reconciliation — and to create, update, or delete planned run and bike workouts on the intervals.icu calendar, which syncs to Garmin Connect. Writes are guarded by dry-run defaults and explicit approval.

Enables AI agents to read a user's SRCE Moodle account data, including grades, deadlines, calendar events, course files, forum posts, and messages, with optional private-message sending gated by phone approval. It can run as a Cloudflare Worker or self-hosted via Node or Docker.

Enables AI agents to query Korean public data from OpenDART, data.go.kr and law.go.kr — corporate filings and financials, stock prices, apartment trades, business registration status, holidays, statutes in force on a given date, and court rulings. It corrects the live APIs' known traps (mislabeled periods, not-yet-in-force laws, cancelled trades, changed district codes) so answers come back right, with evidence.

Enables an AI assistant to inspect project dependency and runtime files, determine each component's support status and end dates, and rank upgrade urgency using bundled endoflife.date data.

Enables AI assistants to diagnose and fix technical SEO, content and generative-engine-optimization issues in one conversation by bundling 102 tools spanning Google Search Console, Analytics 4, PageSpeed/CrUX, structured data, llms.txt, AI-crawler access, WordPress and GitHub.

Lets any MCP-capable AI agent call a hosted EdgePress site's REST API to browse and manage CMS content or store data, using a personal access token whose role and read-only flag decide what the agent can do. Supports Streamable HTTP at /api/mcp or local stdio via npx, with an OpenAPI spec lookup tool for discovering routes and request bodies.

Enables AI assistants and business systems to query and validate Brazilian fiscal data and documents, including CNPJ/CPF, Simples Nacional/MEI, NF-e/NFS-e, SPED, eSocial, and supplier compliance, without mandatory API keys. It also supports offline reference tables, tax-regime comparison, due-diligence scoring, and 2026 IBS/CBS reform analysis through composable tools.

Exposes the Jupyter notebooks open in VS Code to MCP-compatible AI agents, letting them edit cells in the open editor and execute them in the live kernel without file conflicts. Agents can make partial edits, track stale cells, inspect variables, and manage kernels while preserving the user's interpreter choices and unsaved work.

Enables Claude and other MCP clients to query live online-store product, order, sales, stock, and customer data in plain English, with secure read-only defaults, masked customer information, capped results, and audit logging.

Enables Claude to answer plain-English questions by listing and describing database tables, running read-only SQL queries, and searching a folder of policy documents.

Enables AI assistants such as Claude to read SAP IBP master data and key figures through IBP's standard OData APIs on SAP BTP, with read-only access enforced.

Enables AI assistants to search YouTube, manage a channel, read analytics, and handle uploads, playlists, captions, comments, and moderation while requiring explicit approval for every change.

Enables AI assistants and other MCP clients to search, retrieve, and browse end-to-end encrypted contacts locally through read-only tools, decrypting data only on the user's device.

Enables coding agents on different machines to exchange end-to-end encrypted messages through a shared, self-hosted relay, exposing inboxes, room history, and notifications to Claude Code, Codex, or any MCP client. Peers' messages arrive automatically as clearly framed untrusted data, so collaborators can coordinate without granting tool, file, or command access.

Search AutoRFP.ai projects, requirements, content library, and tags for Q&A and analytics.

Enables Claude to query read-only Oura Ring data—including sleep, readiness, activity, heart rate, stress, and device status—through raw collection access and analysis tools for summaries, weekly comparisons, HRV trends, and readiness drivers.

Enables any AI agent to work inside your own signed-in Chrome or Edge, with risky steps gated behind approvals the agent cannot skip, receipts for every action, routines that replay without the AI, and per-site packs that read a site's own data. Everything runs locally, so pages, cookies and passwords never leave your machine.

Enables users to prepare and validate market data, launch and control backtests, and retrieve results, causal explanations, and self-contained reports through stdio tools. It also supports polling or canceling jobs and running sweep, walk-forward, factor, and study research workflows with bounded pagination and reproducible artifacts.