Google A2A Agent Example

Read-only database access with schema inspection

GoalMochi isn’t a goal tracker—it’s a brand new way to manage your aspirations. Instead of juggling endless lists, GoalMochi guides you to focus on one goal at a time, forging a deeply personal narrative that keeps you motivated and on track. Powered by conversational AI, GoalMochi provides constructive insights and creative storytelling tailored to your unique motivations, helping you see your goal through to completion with a sense of momentum and fun. Goal Mochi works because it weaves proven visualization techniques into your planning process. Research shows that using mental imagery when forming implementation intentions leads to higher rates of goal achievement.¹ By collaborating with an AI “thought partner,” you’ll generate personally meaningful stories that tap into your intrinsic motivators, priming both your mind and emotions to move forward. It’s not about ticking boxes—it’s about intuitive goal management that meets you where you are and adapts with you. At the heart of this approach lies GoalMochi’s GoalMochi Agent, which transforms the typical, often dull process of goal tracking into an engaging, fun, and deeply resonant experience. With every completed goal, your insights and progress are securely captured, so you can reflect and build on them in the future. You don’t have to abandon your usual tools—track your tasks wherever you like. GoalMochi simply turns goal-tracking into a dynamic story that evolves, energizes, and empowers you to achieve what matters most. Getting started is EASY! 1. Email story@GoalMochi.com with some details about you and the goal you want to achieve 2. Log into GoalMochi.com with the same email address (or with a Google account connected to your email) to schedule a daily goal summary to be emailed to you 3. Email story@GoalMochi.com at any time to request a new story about your goal or give feedback, tell GoalMochi you've completed your goal and want to work on a new one, and so on. Stories from GoalMochi and daily summaries include AI deep research, so you're both inspired and informed!

Stop feeding your agent raw HTML. BrowserControl gives LLMs true visual grounding with Set of Marks (SoM), letting them click exactly what they see without hallucinating selectors. With built-in developer tools, session recording, and persistent logins, it transforms web automation from a brittle guessing game into a reliable, human-like capability. Give your agent eyes, not just code.

A Model Context Protocol (MCP) server for interacting with Atlassian Jira. Connect AI assistants like Claude, Cursor AI, and others directly to your Jira projects, issues, and workflows. Available Tools: jira_get - Read data from any Jira API endpoint jira_post - Create resources (issues, comments, etc.) jira_put - Replace resources jira_patch - Partially update resources jira_delete - Delete resources health_check - Verify server configuration and connectivity Common Use Cases Ask your AI assistant: "List all projects I have access to" "Show me issues assigned to me that are in progress" "Find all high priority issues in the DEV project" "Get full details about issue PROJ-456 including comments" "Add a comment to PROJ-456: 'Code review completed'" "Create a new bug in the MOBILE project"

This server contains 6 tools. It could be used to process data for lifeline network recovery (LNR). It has been tested in a case of Shelby County.

Description: The Neural Router for DepthOS. A polyphonic Model Context Protocol (MCP) server that orchestrates an ensemble of LLM specialists into a unified development hive mind. Implements the .depthos/touchpoint.md protocol for absolute project alignment.

Web and local search using Brave's Search API

MCP server for Mendeley reference manager - search, retrieve, and manage your academic library from Claude and other MCP clients.

A Model Context Protocol (MCP) server that provides AI coding assistants with specialized tools for analyzing and migrating Java applications from Java EE 8 (javax.*) to Jakarta EE 9+ (jakarta.*). The Jakarta Migration MCP Server enables your AI coding assistant to: - Analyze Jakarta Readiness - Assess Java projects for migration readiness with detailed dependency analysis - Detect Blockers - Identify dependencies and code patterns that prevent Jakarta migration - Recommend Versions - Suggest Jakarta-compatible versions for existing dependencies - Create Migration Plans - Generate comprehensive, phased migration plans with risk assessment - Verify Runtime - Test migrated applications to ensure they run correctly after migration The Problem It Solves Migrating from Java EE 8 (javax.*) to Jakarta EE 9+ (jakarta.*) is complex because: - Dependency Hell: Many libraries haven't migrated, creating transitive conflicts - Binary Incompatibility: Compiled JARs may reference javax.* internally - Hidden Dependencies: javax.* usage in XML configs, annotations, and dynamic loading - Risk Assessment: Need to understand migration impact before starting This MCP server provides AI assistants with the specialized knowledge and tools to navigate these challenges effectively.

Enable your AI assistant to generate instant, shareable flowcharts and Sankey diagrams directly in chat.

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"

This MCP (Model Context Protocol) server allows you to search for high-quality AI art prompts directly from Banana Prompts (https://bananaprompts.fun). Explore a curated collection of Nano Banana prompts to inspire your next creation.

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Access institutional-grade alternative financial data directly in your LLM workflows.

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An MCP (Model Context Protocol) server for searching and fetching Unsplash photos with proper attribution. Built for LLM workflows that generate content pages and need compliant, ready-to-embed credits.

Bring your Cursor AI chat history directly into Claude. Search past conversations, export sessions, create backups, and only MCP to migrate chat sessions to new project dir and generate year-in-review reports—all through natural language. Built on the Model Context Protocol for seamless AI assistant integration.

A production-ready MCP server that gives AI agents deep codebase understanding. Features AST-based semantic analysis, context-aware security scanning (zero false positives on source code), safe refactoring tools with previews, and comprehensive Git operations.

SIGMAEO is a comprehensive SEO intelligence MCP server that provides 52 powerful tools for AI assistants like Claude and ChatGPT. Domain Intelligence: Analyze any website's traffic, authority metrics, keyword rankings, backlink profile, and identify top competitors. Keyword Research: Discover keyword opportunities with search volume, difficulty scores, CPC data, and topical clustering. Find content gaps between you and competitors. SERP Analysis: Get complete search results breakdowns including featured snippets, People Also Ask questions, and ranking factors for any keyword. Page Audits: Run comprehensive on-page SEO audits covering meta tags, headings, readability, E-E-A-T signals, and technical issues. Technical SEO: Check Core Web Vitals, crawl errors, internal linking structure, and site-wide technical health. Competitor Analysis: Compare multiple domains side-by-side, track ranking changes, and uncover competitor content strategies. AI Citation Tracking: Monitor your brand's presence in Google AI Overviews and responses from ChatGPT, Claude, Gemini, and Perplexity. Secure OAuth 2.0 authentication. Real-time data. Multi-region support for US, UK, AU, and more.

Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)

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

SEC filings and insider trades in real-time. 10-K, 10-Q, 8-K, Form 4, and company lookup.

获取 MG_MCP_TOKEN 1. 访问 https://mastergo.com 2. 进入个人设置 3. 点击安全设置选项卡 4. 找到个人访问令牌 5. 点击生成令牌 设计文件必须放在有权限的团队项目中（团队版及团队版以上权限） 草稿箱中的文件无法通过 MCP 工具访问

A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. Enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

A Serper MCP Server

Playwright MCP server