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Persistent memory for AI agents. Give your coding assistant organizational context that compounds — search memories with hybrid retrieval, store anything with auto entity extraction, and query a living knowledge graph that gets smarter over time.

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.

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

Build and send email, SMS, push, and web-push from your AI coding agent

让最强 AI 成为你的专属跑步教练。RunYay MCP 支持 AI 分析跑步数据、制定个性化训练计划，并一键同步到 Garmin、COROS 和 Apple Watch等，让科学训练真正落地。 Turn the world's most powerful AI into your personal running coach. RunYay MCP enables AI assistants to analyze running data, generate personalized training plans, and sync workouts directly to Garmin, COROS, and Apple Watch. The first MCP built specifically for runners and AI-powered training.

A brutally honest senior-engineer code reviewer as an MCP server for Claude Code, Cursor & Windsurf: 0–10 scores, real issues, usable fixes. 8 tools, free tier, no account needed.

FavCRM is an agentic CRM for service businesses. Its public MCP server exposes **190+ typed tools** — bookings, customers, loyalty, WhatsApp/SMS/email, invoicing — at **100% annotation coverage** (read-only / destructive / open-world labelled; outbound sends approval-gated). Any MCP client (Claude, Cursor, ChatGPT) can register a workspace and operate a real CRM backend from chat. **Agentic registration** lets the agent create the account itself. Free tier, no card.

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

Web and local search using Brave's Search API

Provably correct day-count and accrued-interest calculations. A small, dependency-light TypeScript library and an MCP server, so an AI agent can get the exact number instead of guessing.

Register, attest, and verify work for any autonomous agent. Persistent cryptographic identity, tamper-evident on-chain work records, trust scores. 3 MCP tools. Settled on Solana.

Bring your social media analytics, video intelligence, and competitor research into any MCP-compatible AI agent. SocialGPT is a hosted, remote MCP server - nothing to install, no API keys. Point your client at https://mcp.gpt.social/mcp, authenticate once with your SocialGPT account over OAuth 2.1 (PKCE), and your agent can: 1. Analyze your own content - list and search your TikTok, Instagram, and YouTube videos; pull deep per-video analysis (hooks, themes, transcripts, scene-by-scene breakdowns); and track views, engagement, and growth over time. 2. Research competitors - look up any public creator's profile and content DNA, browse their top and recent videos, find videos similar to yours, and benchmark against comparable creators. 3. Analyze new content on demand - drop in any TikTok/Instagram/YouTube URL or creator handle to scrape and analyze it into your library. 4. Run guided workflows - built-in prompts chain the tools into a full account audit, a head-to-head video benchmark, or a reverse-engineered playbook for any niche.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

灵计一动:把灵感拆成可勾选的计划,AI 写代码时经 MCP 自动打钩,做完一键归档成文章。免费。 Lingji turns a one-line idea into a checkable plan outline. Connect your AI coding tool (Claude Code, Cursor, Trae) via MCP and it auto-checks tasks as it writes code — progress syncs to the web in real time, and editing the plan never interrupts the running AI. When done, archive the finished project into a publishable article draft. Free to use.

Knowledge that gets sharper every time an agent uses it. A living knowledge base built by AI agents, for AI agents. Search community-verified solutions, share what you learn, turn dead ends into open problems, and converge on truth.

Multi-platform AI memory. One save, recall everywhere—Claude, ChatGPT, Cursor, VS Code, and more. Persistent memory across AI conversations and clients.

Real-time ranked tech intelligence feed from Hacker News, arXiv, Dev.to, Ars Technica, Product Hunt, and more. Query the live feed by category (AI, tech, code, science, space, robotics, security), search stories by keyword, and list available sources — directly in Claude, Cursor, or any MCP-compatible agent.

Secure file operations with configurable access controls

Access 8,000+ web research and data extraction APIs through a single MCP. Search the web, scrape content, query Reddit, pull Google results, extract structured data, and more. Pay-per-call in USDC via x402 on Base — no API keys, no subscriptions.

Agent-callable Parallax services — list_services, get_pricing, start_project, book_call

The social media publishing API that fails loudly instead of silently. Open source, idempotent by default, with preflight validation across 8 platforms: Bluesky, X, LinkedIn, Pinterest, Instagram, Facebook, Threads, and TikTok.

Postal mail API for AI agents. mailbox.bot lets agents send outbound physical mail, including letters, certified mail, postcards, and batch mailings, with cost previews, approval controls, tracking, proof artifacts, and signed webhooks. It also supports inbound mail context from forwarded scans, phone-captured postal mail, PDFs, photos, and documents, so agents can understand physical-mail context and generate replies. Get a new receiving mailbox number for your agent with a real street-address opening soon through the mailbox.bot waitlist.

Location services, directions, and place details

Auditable, self-improving knowledge & memory for AI agents, served over MCP. Citation-enforced answers (no source, no claim), a replayable why-trace per answer, and a judge-gated loop that promotes validated knowledge. Zero-key local embeddings (bge-m3), hybrid vector + BM25 retrieval, scoped fail-closed bearer auth, and multi-tenant row-level security — self-hosted on Postgres alone. Apache-2.0. Reference implementation of the Agentic Product Standard.