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The MCP Server for Running Data, Performance Analysis and Training Plans RunYay MCP connects AI assistants with your running data, helping athletes analyze performance, review training history, generate personalized training plans, and sync workouts to supported sports watches. Whether you're preparing for a 5K, 10K, Half Marathon, Marathon, or simply building a healthier running habit, RunYay MCP enables AI-powered coaching based on your real training data. 跑鸭·RunYay MCP 让 AI 成为你的专属跑步教练 RunYay MCP（Model Context Protocol）为 AI 提供访问跑步数据、分析训练表现、制定训练计划以及同步训练到运动手表的能力。 通过连接 RunYay MCP，ChatGPT、Claude、Codex、Cursor 等 AI 工具可以基于你的真实训练数据，为你提供个性化的跑步指导和科学训练建议。

Run your Tolstoy shoppable video workspace from any AI client — media library, shoppable widgets (Stories, Carousel, Spotlight), product tagging, multi-store, and Meta ads.

Checks if a Japanese construction or renovation estimate is fair and flags overcharge risk. Attach your estimate and get a red-flag audit.

XGR.Network MCP is a connector for XGRChain and the XDaLa on-chain process engine, enabling AI agents to access chain data, inspect process activity, and prepare secure workflow actions for user-controlled wallet signing.

An open-source Model Context Protocol (MCP) server for the InvGate Service Desk / Service Management API. Exposes 96 tools across 11 domains — incidents (create, update, comment, reassign, approvals), users & groups, knowledge base, custom fields, assets/CIs, workflows, triggers, breaking news and time tracking. Read-only by default. Write access is opt-in via granular profiles: `support` (incidents + time tracking, KB stays read-only) or `full` (adds Knowledge Base writes). Backward compatible, fail-fast on misconfiguration, with optional OpenTelemetry instrumentation. Install: `uvx invgate-service-desk-mcp`. Published on PyPI and listed in the official MCP registry.

clockify-mcp exposes the Clockify time-tracking API as Model Context Protocol tools so any MCP client (Claude Desktop, Cursor, etc.) can query and manage time-tracking data in natural language. Covers 18 domains: workspaces, users, groups, clients, projects, tasks, tags, time entries, reports (detailed/summary/weekly/attendance/expense + PDF/CSV/XLSX export), shared reports, time off, holidays, expenses, approvals, custom fields, scheduling, invoices, and webhooks. 48 read tools are always available; 64 write tools are opt-in via CLOCKIFY_ACCESS_MODE (read | time-tracking | full). Auth is a single Clockify API key (X-Api-Key). Optional OpenTelemetry OTLP export for traces/metrics/logs.

Voyei is a collaborative travel-planning app (Brazil-first, PT-BR). Its native MCP server lets you connect your own AI client — Claude, ChatGPT, Cursor or any MCP-compatible client — and have it read and edit your trips in real time, using your AI plan (Voyei never charges per token nor trains on your data). The AI can create and edit trips (days auto-generated), add and schedule places, manage reservations (hotels, restaurants, tours, events) and transport (flights, trains, cars, cruises), build budgets with expense-splitting, assemble packing lists, collaborate (shared notes, polls, messages, to-dos), update your travel Atlas and journey log, and search places & weather. Exposes 78 tools and 15 read resources, with granular OAuth scopes (read/write per area).

Gateway connector between LLM agents and world data. Official Model Context Protocol server for the Sugra API, backed by a bundled endpoint catalog and operation_id calls. Works with Anthropic Claude, OpenAI GPT, Google Gemini, xAI, and any MCP-enabled IDE. Client details: Anthropic Claude: Claude Desktop, Claude Code (CLI), claude.ai (web) OpenAI GPT: ChatGPT (via MCP connector) Google Gemini: Gemini CLI, Gemini Code Assist (VS Code + JetBrains) xAI: Remote MCP Tools in xAI SDK and Responses API IDEs: VS Code (native), Cursor, Zed, Cline, Continue.dev, Windsurf Custom agents: anything built on the Python or TypeScript MCP SDK