Discover Awesome MCP Servers

Claim Pilot MCP Server

MCP server for insurance claim pilot tools, providing policy search, claim lookup, and fraud score calculation.

Superior Browser MCP

Enables AI-powered browser automation with real profiles, supporting interaction, navigation, form filling, and advanced features like visual overlays and self-healing selectors.

graphql-mcp-bridge

This application connects GraphQL APIs with the Model Context Protocol (MCP). It allows you to integrate your GraphQL services with MCP-compatible AI systems effortlessly.

NIOS WAPI MCP Read Gateway

Read-only MCP server for Infoblox NIOS grids, enabling IPAM, DNS, DHCP, and grid health queries via WAPI with multi-grid support.

MCP Personal Calendar

A CalDAV-compliant MCP server that enables AI models to manage personal schedules and to-do lists, supporting batch creation, modification, and intelligent timezone adjustments.

WLST MCP Server

Enables management of Oracle WebLogic Server domains using WLST, including server lifecycle, application deployment, monitoring, and diagnostics.

Phrase MCP Server

A Model Context Protocol server that integrates with Phrase Strings to manage translation projects, keys, and translations. Enables AI assistants to perform CRUD operations on projects, locales, and translations programmatically.

cloak-search-mcp

A local, anti-bot-resilient web search MCP server that uses stealth Chromium automation to search Google or DuckDuckGo without API keys, with automatic fallback and human-like interaction to bypass CAPTCHAs.

amenbo

Amenbo is a Japanese-web-native MCP server for low-impact, token-efficient web collection, enabling agents to fetch, outline, and screenshot web pages while respecting robots.txt and optimizing for Japanese sites.

Simple Calculator MCP Server

Enables basic arithmetic operations (add, subtract, multiply, divide, modulo) via natural language, with a FastMCP-based server and client for exploring MCP tool calling.

Lose It MCP

Enables access to Lose It calorie tracking data including daily summaries with budgets and remaining calories, weekly history, and food logs. Integrates with the Lose It web app API to retrieve nutrition information and dietary entries for monitoring caloric intake.

gitwhy-mcp

The shared AI context engine for git — save, search, and share the reasoning behind code changes. Captures the why behind every commit and slide on PRs for coding agents.

ableton-mind

MCP server for Ableton Live that exposes the Live Object Model to LLMs, enabling natural language control of music production.

jquants-mcp

An MCP server that retrieves Japanese stock market data via J-Quants API v2.

CurrencyAndOil

Zenrus MCP Server is a server that provides real-time currency exchange rates and oil prices, supports multiple computing functions, and is suitable for financial analysis and automation tool integration.

Oakallow MCP Server

Runtime permission, approval, and audit governance for AI agent tool execution, enabling human oversight of risky actions via an MCP server.

mcp-resources-giulia-ai

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

MCP Sequential Thinking Tools

Okay, I understand. I will act as a helpful assistant that guides problem-solving by: 1. **Breaking down complex problems into manageable steps.** I will identify the key stages involved in solving the problem. 2. **Recommending appropriate MCP (Meta-Cognitive Prompting) tools for each stage.** I will suggest specific techniques or prompts that can be used to facilitate thinking and problem-solving at each step. 3. **Providing confidence scores for each tool suggestion.** This will indicate how confident I am that the tool is a good fit for the stage. 4. **Offering rationales for my tool suggestions.** I will explain why I believe the suggested tool is helpful and how it can be applied. Let's get started! Please provide me with the complex problem you want to solve. I'm ready to help you break it down and find the right tools for the job. --- **Example of how I will respond (once you provide a problem):** **Problem:** (Let's say you provide: "How can I improve my team's communication?") **My Response:** Okay, improving team communication is a complex problem. Here's a breakdown into steps and suggested MCP tools: **Step 1: Identify Communication Bottlenecks and Pain Points** * **Goal:** Understand the current state of communication within the team and pinpoint specific areas that need improvement. * **Suggested MCP Tool:** **"5 Whys" Analysis** * **Confidence Score:** 90% * **Rationale:** The "5 Whys" technique helps to drill down to the root causes of communication problems. By repeatedly asking "Why?" about observed issues, you can uncover underlying factors that contribute to poor communication. For example, "Why is information not being shared effectively?" -> "Why are team members not attending meetings?" -> "Why are meetings perceived as unproductive?" etc. * **Suggested MCP Tool:** **"Brainstorming (with constraints)"** * **Confidence Score:** 80% * **Rationale:** Brainstorming can generate a wide range of potential problems and solutions. Adding constraints (e.g., "What are the biggest communication challenges given our current tools?") can focus the brainstorming session and make it more productive. **Step 2: Define Clear Communication Goals and Objectives** * **Goal:** Establish specific, measurable, achievable, relevant, and time-bound (SMART) goals for improving team communication. * **Suggested MCP Tool:** **"SMART Goal Setting"** * **Confidence Score:** 95% * **Rationale:** This is a direct application of the SMART framework. It ensures that the goals are well-defined and actionable. For example, "Increase team meeting attendance by 20% within the next quarter." * **Suggested MCP Tool:** **"Backward Planning"** * **Confidence Score:** 75% * **Rationale:** Starting with the desired outcome (improved communication) and working backward to identify the necessary steps can help create a clear roadmap. **Step 3: Generate Potential Solutions and Strategies** * **Goal:** Explore different approaches to address the identified communication bottlenecks and achieve the defined goals. * **Suggested MCP Tool:** **"SCAMPER"** * **Confidence Score:** 85% * **Rationale:** SCAMPER (Substitute, Combine, Adapt, Modify/Magnify/Minimize, Put to other uses, Eliminate, Reverse) is a creativity technique that can help generate novel solutions by prompting you to think about different ways to modify existing communication practices or tools. * **Suggested MCP Tool:** **"Analogical Thinking"** * **Confidence Score:** 70% * **Rationale:** Consider how other teams or organizations have successfully improved communication. What strategies did they use? Can those strategies be adapted to your team's context? **Step 4: Evaluate and Prioritize Solutions** * **Goal:** Assess the feasibility, impact, and cost of each potential solution and prioritize those that are most likely to be effective. * **Suggested MCP Tool:** **"Impact/Effort Matrix"** * **Confidence Score:** 90% * **Rationale:** This matrix helps to visually represent the potential impact of each solution against the effort required to implement it. This allows you to focus on high-impact, low-effort solutions first. * **Suggested MCP Tool:** **"Cost-Benefit Analysis"** * **Confidence Score:** 80% * **Rationale:** A more formal analysis of the costs and benefits of each solution can provide a more objective basis for prioritization. **Step 5: Implement and Monitor Progress** * **Goal:** Put the chosen solutions into action and track progress towards the defined goals. * **Suggested MCP Tool:** **"Action Planning"** * **Confidence Score:** 95% * **Rationale:** Create a detailed action plan that outlines who is responsible for each task, what the timeline is, and what resources are needed. * **Suggested MCP Tool:** **"Regular Check-ins and Feedback"** * **Confidence Score:** 90% * **Rationale:** Regularly monitor progress and solicit feedback from team members to identify any issues and make adjustments as needed. **Step 6: Reflect and Iterate** * **Goal:** Evaluate the effectiveness of the implemented solutions and identify areas for further improvement. * **Suggested MCP Tool:** **"After-Action Review (AAR)"** * **Confidence Score:** 90% * **Rationale:** An AAR is a structured process for reflecting on what happened, what went well, what could have been done better, and what lessons were learned. * **Suggested MCP Tool:** **"Continuous Improvement Cycle (PDCA)"** * **Confidence Score:** 85% * **Rationale:** The Plan-Do-Check-Act cycle provides a framework for continuous improvement by systematically planning, implementing, monitoring, and adjusting solutions. --- Now, please provide me with the problem you want to solve, and I'll apply this approach to it.

Wasilah MCP

Remote MCP server exposing Wasilah's Islamic reference data, enabling prayer-time, Qibla, Hijri-date, and Quran-audio queries via natural language.

Google Calendar MCP Server

使用 Google Calendar API 的 MCP 服务器 (Shǐyòng Google Calendar API de MCP fúwùqì)

image-reader MCP Server

A TypeScript-based MCP server that implements a simple notes system, allowing creation and management of text notes with URIs and metadata.

notebooklm-mcp-2026

Secure MCP server for querying Google NotebookLM notebooks. Enables AI assistants to list notebooks, read sources, and ask the NotebookLM AI questions about your sources.

appsgolem-mcp

Enables AI agents to cut YouTube clips programmatically via the AppsGolem API, supporting multiple formats, batch cuts, and direct download URLs.

Financial Hub MCP Server

A TypeScript MCP server for financial data aggregation that connects AI assistants to SEC EDGAR filings, XBRL statements, FRED economic indicators, and real-time market data.

osm-mcp

A read-only MCP server for OpenStreetMap offering geocoding, routing, route optimization, isochrones, and POI search—requiring no API key and built for AI travel planning.

MCP Weather Server

A standardized API server that enables AI agents and client applications to fetch current weather information for any location without directly interacting with external weather APIs.

MLX MCP Server

Enables AI assistants like Claude to manage LLM inference by controlling model registry, backends, and VRAM monitoring through the Model Context Protocol.

Career Agent Workbench MCP Server

Enables natural-language access to workspace-independent public job search, matching, and seeding tools, along with lazy job matching, while keeping private data and application state in a separate operator-owned workspace.

CCI Black Book MCP

Enables semantic search over the CCI Black Book, a scanned grow manual, retrieving both text and visual content with cited evidence packs for AI assistants.