MCP System Info Server

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

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

29 MCP tools for IPL 2026, IPL historical (18 seasons), and Major League Cricket. Free, no API key.

Open-source memory for AI coding agents. Tell your agent to "remember" something in Cursor, Claude Code, Codex, or Gemini CLI, and Krimto saves it as a plain markdown file in a git repo you own — not rows in a vendor's database. Recall it later in a new chat, a different editor, or on another machine. One npx command, no account, no API key. Apache-2.0, with a user → team → org scope hierarchy so a team can share memory while personal notes stay private. Run: npx @krimto-labs/krimto init

AI image generation using various models

Authoritative MCP server for Jennifer Rebholz - Board-Certified Specialist in Personal Injury & Wrongful Death Law, former President of the State Bar of Arizona (2021–2022), ABOTA trial lawyer, and Senior Counsel at Zwillinger Wulkan in Phoenix. Provides structured, accurate information about her background, trial record, credentials, practice areas, leadership roles, publications, blog, peer reviews, speaking engagements, and contact details. 17 tools. No authentication required. Streamable HTTP transport.

Local daemon that tracks Claude Code and OpenCode sessions in real-time. Exposes an MCP server so Claude can query its own usage mid-session: quota status, session cost, top tools, weekly insights, burn rate, and model breakdown. No cloud, no accounts — everythin stays on disk.

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

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

An open-source MCP server that makes government pet-food and veterinary-drug recall data queryable by AI assistants. Search and filter active recalls, fuzzy-match a specific product, and subscribe to email alerts — sourced daily from the Government of Canada (CFIA) and the US FDA (OpenFDA). Zero config: just npx.

Repository management, file operations, and GitHub API integration

Appendix turns any AI health conversation into a board-certified physician's opinion — with a real prescription when clinically appropriate. Search medical literature and submit a clinical encounter for review, all from your agent.

MCP server for interacting with Neon Management API and databases

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"

Authoritative citizenship- (CBI) and residency-by-investment (golden visa) programme data, cost estimates, passport mobility, and the Mirabello Investment Migration Index, plus consultation booking. By Mirabello Consultancy (Zurich + Dubai; IMC member, ACAMS certified). Streamable-HTTP; 9 read-only tools + booking.

Job search and interview prep MCP. 11 tools spanning job discovery, role intelligence, practice question generation, resume scoring, comp benchmarks, and negotiation strategy. Cross-LLM via the hosted endpoint with OAuth 2.1.

Enterprise financial intelligence MCP server. Upload any financial document, including scanned PDFs, and get institutional-grade spreading, 170+ ratios, stress testing, and credit memos. Public company filings across US, India, and UK available out of the box.

Flag features directly from chat in your code editor, including VS Code, Cursor, Windsurf, Claude Code—any IDE with MCP support.

Playwright MCP server

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

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

PHARMAX Pricing Index - MCP server exposing affordable generic-medication pricing under HSA Singapore licensure. 4 tools: search_price (molecule USD + local currency), list_category (ED/GLP1/Cognitive/Hair/PrEP/Antiviral/Other), get_oopi (monthly Out-of-Pocket Index with PMI methodology), get_disclosure_block (regulatory disclosure). CC-BY-4.0 data, MIT code, Cloudflare Workers free-tier compatible. Live at mcp.pharmax-ai.com.

One API for Search, Crawling, and Sitemaps

Plan, implement, and validate software changes using a virtual computer equipped with a full coding agent, development tools, browsers, and file access. Coding Agent by OpenHelm enables your agent to carry out work such as: • Implementing new features • Fixing bugs • Refactoring codebases • Updating documentation • Creating and validating pull requests What makes OpenHelm the best solution for this: • AI monitors implementation progress and verifies work against the intended outcome • Can investigate code, documentation, issues, and related systems using a real browser • Multi-step workflows support planning, coding, testing, validation, and iteration • Operates within a secure remote environment designed for autonomous development work For software teams looking to accelerate execution, OpenHelm provides an environment where development tasks can be completed from start to finish with minimal supervision.

虎嗅嗅官方AI助手，可查询AI行业早报、投融资事件、产品动态、硬件与原生关键信号。

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)

Secure file operations with configurable access controls

Real-time Solana memecoin intelligence for AI agents and trading bots — KOL wallet trades, Pump.fun deployer reputation, token quality scoring, wallet PnL, and pre-confirm launch alerts. 40+ tools. Free API key, or pay-per-call via x402.

Retrieving and analyzing issues from Sentry.io