Discover Awesome MCP Servers

nslookup.io MCP Server

Provides comprehensive tools for real-time DNS queries across 53 record types, global propagation checks, and SSL certificate analysis. It also enables domain security scans for SPF/DKIM/DMARC configurations and HTTP uptime monitoring.

PayFast MCP

Enables interaction with the South African PayFast payment gateway to manage transactions, subscriptions, and refunds. It allows users to create payments, query transaction statuses, and check settlement balances through the MCP protocol.

Learning Hub

AI learning assistant for families. Manages game time rewards based on school grades, homework, and bonus tasks. Syncs with EduPage/PRONOTE. 78 MCP tools with instruction workflows.

Agentic Workbench

An MCP-based tool orchestrator that exposes a single execute_task tool to Claude while internally managing 100+ tools through hierarchical navigation with a cheaper LLM, preventing context overflow from loading all tool definitions.

Cloudflare Remote MCP Server (Authless)

A deployable Model Context Protocol server for Cloudflare Workers that enables AI models to use custom tools without requiring authentication.

Time MCP Server

Provides current time information and timezone conversion capabilities using IANA timezone names. Enables LLMs to get current time in any timezone and convert times between different timezones with automatic system timezone detection.

FSS Pension MCP Server

Provides FSS (Korean Financial Supervisory Service) pension data to AI models like Claude through Model Context Protocol, enabling real-time pension product information retrieval and personalized AI-based pension consultation services.

Channel Talk MCP Server

An unofficial MCP server that integrates with the Channel Talk Open API to allow AI assistants to access and manage chat information. It enables users to retrieve chat lists and message histories filtered by status, tags, and customer details.

Jinko

Jinko

Kali MCP Server

Provides a containerized Kali Linux environment that gives AI assistants access to a comprehensive suite of security and penetration testing tools. It enables automated vulnerability scanning, network reconnaissance, and secure command execution through the Model Context Protocol.

MCP Server Boilerplate

A starter template for building custom MCP servers that can integrate with Claude, Cursor, or other MCP-compatible AI assistants. Provides a clean foundation with TypeScript support, example implementations, and easy installation scripts for quickly creating tools, resources, and prompt templates.

Remote MCP Server

A Cloudflare Workers-based MCP server that allows users to deploy and customize tools without authentication requirements, compatible with Cloudflare AI Playground and Claude Desktop.

TopicLake Insights FedPolicy

Federal Agency Rules and Executive Actions

code-rules-mcp

Here are a few ways to translate "MCP server for reliably reading code rules into Agentic AI context" into Spanish, with slightly different nuances: * **Opción 1 (Más directa):** Servidor MCP para leer de forma fiable reglas de código en el contexto de IA Agéntica. * **Opción 2 (Enfatizando la fiabilidad):** Servidor MCP para la lectura fiable de reglas de código en el contexto de IA Agéntica. * **Opción 3 (Usando "incorporar" para "reading into"):** Servidor MCP para incorporar de forma fiable reglas de código al contexto de IA Agéntica. * **Opción 4 (Más descriptiva):** Servidor MCP para la lectura e integración fiable de reglas de código en el contexto de la IA Agéntica. **Breakdown of the choices:** * **MCP Server:** "Servidor MCP" is a direct translation and likely the best choice if "MCP" is a well-known acronym in your target audience. If not, you might need to explain what MCP stands for. * **Reliably reading:** "Leer de forma fiable" and "Lectura fiable" are both good options. The first is more active, the second more passive. "Incorporar de forma fiable" is also a good option if you want to emphasize the integration aspect. * **Code rules:** "Reglas de código" is the standard translation. * **Agentic AI context:** "Contexto de IA Agéntica" is a direct translation and generally understood. **Recommendation:** I would recommend **Opción 2: Servidor MCP para la lectura fiable de reglas de código en el contexto de IA Agéntica.** It's concise, accurate, and emphasizes the reliability aspect. However, if you need to emphasize the integration of the rules, **Opción 3** is a good alternative.

MCP RSS

Enables intelligent RSS feed management with AI-powered semantic search, advanced filtering, and a comprehensive reading workflow. Supports OPML parsing, article organization with status tracking, and token-efficient browsing of large feed collections.

GitHub MCP Server

Here are a few ways to translate "Github MCP Server to integrate with CI flows" into Spanish, with slightly different nuances: * **Opción 1 (Más directa):** Servidor MCP de Github para integrarse con flujos de CI. * **Opción 2 (Un poco más explicativa):** Servidor MCP de Github para la integración con flujos de trabajo de CI. * **Opción 3 (Enfatizando el uso):** Servidor MCP de Github para usar con flujos de CI. * **Opción 4 (Más formal):** Servidor MCP de Github para su integración en flujos de CI. **Explanation of Choices:** * **MCP:** It's likely best to leave "MCP" as is, assuming it's an acronym or specific term. If you know what it stands for, you *could* translate that, but without knowing the context, it's safer to keep it as "MCP." * **CI Flows:** "CI flows" is commonly understood in the tech world, so "flujos de CI" is a good translation. "Flujos de trabajo de CI" is a bit more explicit ("workflow" is added). * **Integrate:** "Integrar" is the direct translation of "integrate." "Integrarse" is the reflexive form, meaning "to integrate oneself" or "to be integrated." Both are valid, but "integrarse" might be slightly more common in this context. * **Para:** This is the most common translation of "to" in this context. Therefore, I would recommend **Opción 2: Servidor MCP de Github para la integración con flujos de trabajo de CI.** It's clear and accurate.

Excel MCP Server

Enables AI agents to create, read, and modify Excel workbooks without requiring Microsoft Excel, supporting operations like formulas, charts, pivot tables, formatting, and data validation.

EntityIdentification

A MCP server that helps determine if two sets of data belong to the same entity by comparing both exact and semantic equality through text normalization and language model integration.

MasterGo Magic MCP

Connects AI models to MasterGo design tools, enabling retrieval of DSL data, component documentation, and metadata from MasterGo design files for structured component development workflows.

TempoGraph

Code graph context engine that parses codebases with tree-sitter (170+ languages), builds structural dependency graphs, and provides 24 MCP tools for code intelligence. One prepare_context call gives your AI agent the right files for any task. Includes focus, blast radius, hotspots, dead code detection, and hybrid search.

ICON MCP v103

Provides AI agents and LLMs with secure access to the ICON MCP v103 API via Bearer tokens or HTTP 402 payment protocols. It enables standardized interaction with market data and API endpoints through the Model Context Protocol.

Ping MCP Server

An MCP server that allows users to ping other hosts to check network connectivity and diagnostic information. It enables LLMs to perform network latency tests and host availability checks through a standardized interface.

MCP Webhook Server

An MCP server that enables sending data to webhooks via HTTP POST for both local and remote team environments. It provides a tool for relaying task descriptions, custom metadata, and automated notifications to external services.

DaVinci Resolve MCP Server

Connects AI coding assistants (Cursor, Claude Desktop) to DaVinci Resolve, enabling control of video editing workflows through natural language commands for project management, timeline operations, and media pool tasks.

MCP Sheet Parser

A Model Context Protocol server designed for AI assistants to directly process spreadsheet files, enabling them to read, display, modify, and save various table formats like CSV and Excel.

Claude Deep Think MCP Server

Provides proactive deep analytical thinking using Claude Sonnet 4.5 before writing code, helping analyze errors, requirements, and architectural decisions to produce better quality code with fewer iterations.

Fathom MCP Server

Enables AI agents to access Fathom AI meeting data including transcripts, summaries, teams, and team members. Provides tools to list meetings with filters, retrieve detailed transcripts and summaries, and manage team information.

Terraform MCP Server

Enables management of Terraform infrastructure as code through 25 comprehensive tools for operations including plan/apply/destroy, state management, workspace management, and configuration file editing.