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 breaking down complex problems into steps and recommending appropriate MCP (presumably referring to Microsoft Cognitive Platform or similar) tools for each stage. I will also provide confidence scores and rationales for my tool suggestions. **Here's how I will approach this:** 1. **Problem Understanding:** I will first ask clarifying questions to fully understand the problem you are trying to solve. 2. **Decomposition:** I will break down the problem into smaller, more manageable steps. 3. **Tool Recommendation:** For each step, I will recommend one or more MCP tools that could be helpful. 4. **Confidence Score:** I will assign a confidence score (0-100%) to each tool recommendation, reflecting my certainty that the tool is appropriate for the task. 5. **Rationale:** I will provide a clear rationale for each tool recommendation, explaining why I believe it is a good fit. **Example:** Let's say the problem is: "Analyze customer reviews to identify areas for product improvement." Here's how I might break it down and suggest tools: **Step 1: Data Collection and Preparation** * **Description:** Gather customer reviews from various sources (e.g., website, social media, app stores) and clean the data (remove irrelevant characters, handle missing values). * **Recommended Tool:** Azure Data Factory (ADF) * **Confidence Score:** 90% * **Rationale:** ADF is a robust ETL (Extract, Transform, Load) service that can connect to various data sources, perform data cleaning and transformation, and load the data into a central repository for further analysis. Its scalability and pre-built connectors make it ideal for handling large volumes of customer reviews. **Step 2: Sentiment Analysis** * **Description:** Determine the sentiment (positive, negative, neutral) expressed in each customer review. * **Recommended Tool:** Azure Cognitive Services - Text Analytics API (Sentiment Analysis) * **Confidence Score:** 95% * **Rationale:** The Text Analytics API provides pre-trained models for sentiment analysis, making it easy to quickly determine the overall sentiment of each review. It's highly accurate and requires minimal configuration. **Step 3: Topic Extraction** * **Description:** Identify the key topics or themes discussed in the customer reviews. * **Recommended Tool:** Azure Cognitive Services - Text Analytics API (Key Phrase Extraction) * **Confidence Score:** 85% * **Rationale:** The Key Phrase Extraction feature can automatically identify the most important phrases in each review, providing insights into the topics being discussed. This can help identify common themes and areas of concern. **Step 4: Issue Identification and Categorization** * **Description:** Group reviews based on the identified topics and sentiment to identify specific issues and their prevalence. * **Recommended Tool:** Azure Machine Learning (Custom Model) * **Confidence Score:** 70% * **Rationale:** While the Text Analytics API provides basic topic extraction, a custom machine learning model can be trained to categorize reviews into more specific issue categories. This allows for a more granular understanding of customer feedback. This requires more effort but provides more tailored results. **Step 5: Reporting and Visualization** * **Description:** Create reports and visualizations to summarize the findings and communicate them to stakeholders. * **Recommended Tool:** Power BI * **Confidence Score:** 95% * **Rationale:** Power BI is a powerful business intelligence tool that can connect to various data sources and create interactive dashboards and reports. It allows for easy visualization of sentiment trends, topic prevalence, and other key metrics. **Now, please provide me with the complex problem you want to solve, and I will start the process of decomposition and tool recommendation.**

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

MCP 서버를 Google Calendar API를 사용하여 구축하는 것에 대한 질문이신 것 같습니다. (This translates to: "You seem to be asking about building an MCP server using the Google Calendar API.") To give you the best possible answer, I need a little more information. Could you clarify what you mean by "MCP server"? It could refer to several things, including: * **Minecraft Protocol (MCP) server:** Are you trying to build a server that interacts with Minecraft using the Minecraft Protocol and integrates with Google Calendar? * **Mission Control Platform (MCP) server:** Are you referring to a server for a specific application or game that uses the acronym MCP? * **Something else entirely?** Once I understand what you mean by "MCP server," I can provide more specific guidance on how to use the Google Calendar API in conjunction with it. For example, I can help you with: * **Authentication and Authorization:** How to authenticate your server with the Google Calendar API. * **Event Management:** How to create, read, update, and delete events in Google Calendar. * **Integration with your MCP server:** How to connect the Google Calendar API to your specific server application. Please provide more details so I can assist you better!

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.