Simple MCP Server Example

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A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

A Serper 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"

AI-powered knowledge base for your Terraform modules. Index, search, compose, and audit - all from one place.

An MCP server that provides a tool for sending transactional emails via Mailtrap

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

An MCP server for managing Modal — apps, containers, volumes, and secrets — and for deploying & running Modal apps directly from Claude Code and other MCP clients. Every tool shells out to your local modal CLI, so it operates against whatever Modal profile and credentials are configured on your machine. There are no extra tokens to manage.

Verified, provenance-first per-byte USDC data feeds for AI agents on Arbitrum. Discover first-party publishers, subscribe to live feeds or pay-per-call via x402, and verify-before-act (recompute keccak256 vs the publisher's on-chain EIP-712 attestation). 15 MCP tools; read-only needs no wallet. Testnet; no token.

Budget & cost control for AI agents: hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval — enforced before each LLM call, not after the invoice. One hosted MCP endpoint (no proxy or self-hosting), settled via x402 (USDC on Base).

Let AI read, search, and summarize your UpNote notes — and create new ones — right from your chat.

A read-only Model Context Protocol server for Valve's public Steam Web API and storefront. Ask about your friends and games, playtime and achievements, as well as get game suggestions based on your library. Plus account-independent things like sales, reviews, live player counts, Steam Deck compatibility, discovery, and recommendations — bring your own free Steam API key.

Web and local search using Brave's Search API

숭실대학교의 모든 공개/개인 정보 제공과 자동화 에이전트 기능을 MCP 표준 도구로 제공하여 공개 서버 지속적으로 업데이트 및 기능 추가 중입니다 공개 도구 •학식 - 학생식당·도담식당·기숙사(레지던스홀)등 모든 식당 메뉴 및 식당정보 •시설 - 캠퍼스 내 카페·편의점·복사 등 검색 •도서관 - 좌석 실시간 조회 / 도서 검색 •공지사항 - 최신 공지 목록·키워드검색·학과별공지 등 개인 도구 요청시 로그인 URL을 받아 한 번 로그인하면 이후 모든 개인 도구를 사용 가능 •u-SAINT - 시간표, 성적, 채플 정보, 졸업요건, 장학금 내역 등 •LMS - 현재 학기 미제출 과제·퀴즈목록 등 •도서관 - 대출 현황 및 반납 기한(예약 현황 및 예약 자동화 에이전트 도입 예정) 대화 예시 나 졸업하려면 어떤 조건들이 남았어? 도서관 6층 창가쪽 빈자리 있으면 예약해줘 장학금 관련 공지사항 찾아줘

Browser automation and web scraping

AgentDrive is a cross-agent artifact workspace with provenance and portable storage across Claude Code, Codex, Cursor, and LangGraph. 20 MCP tools: file CRUD, semantic recall over workspace artifacts, run logging, cross-agent attribution, comments, and shares. Connect to the hosted server at https://mcp.agentdrive.sh/mcp with an Authorization: Bearer key, or run locally via npx @adrive/mcp-server. Free tier (1 GB + 10k embeddings) at https://app.agentdrive.sh — no credit card.

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.

Run personalised outreach campaigns and manage conversations using a virtual computer equipped with email capabilities, research tools, and workflow automation. Email Outreach by OpenHelm enables your agent to carry out work such as: • Prospect research • Personalised outbound email campaigns • Lead qualification • Follow-up sequences • Inbox monitoring and response handling What makes OpenHelm the best solution for this: • AI continuously monitors conversations and adjusts actions to maximise outcomes • Deep research capabilities enable highly personalised outreach at scale • Multi-step workflows coordinate research, sending, follow-ups, and response management • Operates within a secure remote environment isolated from your local machine For organisations looking to generate opportunities through outbound communication, OpenHelm provides the infrastructure needed to run sophisticated outreach workflows autonomously.

Retrieving and analyzing issues from Sentry.io

Token-aware response paging for MCP servers. One line of code — large tool responses chunked and delivered page by page.

Use TradeOS MCP Server to bring your trading data, indicators, strategy logic, and agent workflows into MCP-compatible AI tools. Copy your server URL, add it to GPT or Claude, and let your AI assistant work directly with your TradeOS trading intelligence.

Improve your visibility across both traditional search engines and AI-powered answer engines using a virtual computer that can analyse websites, competitors, content, and search performance. SEO & GEO by OpenHelm enables your agent to carry out work such as: • SEO audits and recommendations • GEO (Generative Engine Optimisation) analysis • Competitor monitoring • Content opportunity discovery • Search visibility reporting What makes OpenHelm the best solution for this: • Continuously evaluates whether recommendations are actually improving visibility over time • Can investigate competitors and search results using a highly capable stealth browser • Multi-step workflows allow analysis, planning, implementation, and monitoring to work together • Designed for both search engines and emerging AI discovery platforms For organisations looking to grow organic visibility, OpenHelm provides a secure environment where optimisation work can be performed continuously and autonomously.

高德地图官方 MCP Server

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

MCP server that fuses 2–5 AI agents into one unified mind. Features 7 tools: esse_quick, esse_fuse, esse_execute, esse_list_agents, esse_list_sessions, esse_memory, esse_defuse. Supports Venice AI, OpenAI, and Anthropic. One AI. Many agents. Fused.

Service name: Scrape Agent Service base URL: https://scrapeagent.xyz Website URL: https://scrapeagent.xyz Email: your email Category: Data Description: Pay-per-use web scraping API built on x402. Extract clean text, links or HTML from any URL for $0.01 USDC on Base. No API key, no subscription needed. Perfect for AI agents that need web data on demand. Endpoint paths: /api/scrape/x402 Notes: Endpoint returns HTTP 402 with valid accepts[] payload on both GET and POST requests without X-PAYMENT header. Custom domain, landing page at root, OpenAPI spec at /openapi.json.

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