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 "Mathematical Computation Package") 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 present. 2. **Problem 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 suggestion, explaining why I believe it is a good fit for the specific step. **Example:** Let's say the problem is: "Optimize the supply chain for a manufacturing company to minimize costs." Here's how I might break it down and suggest tools: **Step 1: Data Collection and Analysis** * **Description:** Gather data on suppliers, transportation costs, inventory levels, demand forecasts, and production capacity. Analyze this data to identify bottlenecks and inefficiencies. * **Recommended Tool:** * **MCP Tool:** Statistical Analysis Package (e.g., R, Python with Pandas/NumPy/SciPy) * **Confidence Score:** 95% * **Rationale:** These packages are excellent for handling large datasets, performing statistical analysis (e.g., regression, correlation), and identifying trends and patterns in the data. They can help pinpoint areas where costs are high or processes are inefficient. **Step 2: Modeling the Supply Chain** * **Description:** Create a mathematical model of the supply chain, representing the flow of goods and information, and the associated costs. * **Recommended Tool:** * **MCP Tool:** Linear Programming Solver (e.g., Gurobi, CPLEX, SciPy's `linprog`) * **Confidence Score:** 85% * **Rationale:** If the supply chain can be represented with linear relationships (e.g., linear costs, linear constraints on capacity), a linear programming solver can find the optimal solution that minimizes costs while satisfying all constraints. **Step 3: Optimization** * **Description:** Use the model to find the optimal configuration of the supply chain, such as optimal inventory levels, transportation routes, and production schedules. * **Recommended Tool:** * **MCP Tool:** Optimization Toolbox (e.g., MATLAB Optimization Toolbox, SciPy's `optimize` module) * **Confidence Score:** 90% * **Rationale:** These toolboxes provide a variety of optimization algorithms (e.g., gradient descent, genetic algorithms) that can be used to find the best solution to the supply chain model, even if it is non-linear or has complex constraints. **Step 4: Simulation and Validation** * **Description:** Simulate the supply chain under different scenarios to test the robustness of the optimized solution and identify potential risks. * **Recommended Tool:** * **MCP Tool:** Discrete Event Simulation Software (e.g., AnyLogic, Simio) * **Confidence Score:** 75% * **Rationale:** While not strictly a "mathematical computation package," simulation software allows you to model the dynamic behavior of the supply chain and test the optimized solution under realistic conditions, including variability in demand, disruptions in transportation, and other unforeseen events. This helps validate the model and identify potential weaknesses. **Now, please provide me with the complex problem you want me to help you solve. I'm ready to start!**

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

Un servidor MCP que utiliza la API de Google Calendar.

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.