Discover Awesome MCP Servers

Monobank MCP Server

Enables interaction with Monobank personal accounts through MCP tools to fetch client information, account details, and transaction statements for specified time periods.

GoHighLevel MCP Server

Connects Claude Desktop to GoHighLevel CRM, providing 269+ tools across 19 categories for complete contact management, messaging, sales, marketing, e-commerce, and business operations through AI automation.

Tesy 56 MCP Server

Provides AI agents and LLMs access to the Tesy 56 API through standardized MCP tools for seamless integration and interaction with Tesy 56 endpoints.

infobel-api-mcp

MCP server for the Infobel GetData API, enabling AI agents to search businesses, retrieve records, and browse categories and locations.

Firecrawl MCP Server

Enables web scraping, crawling, and content extraction by integrating with the Firecrawl API. It supports deep research, batch scraping, and automatic rate limiting for both cloud and self-hosted environments.

MCP Server Knowledge Engine

Transforms PDF collections into a searchable knowledge base using TF-IDF indexing and proximity matching. It enables users to search documents, retrieve specific page content, and manage document libraries through natural language via MCP clients.

mcp-server-public-transport

mcp-server-public-transport is an open-source, locally hosted server providing an interface for accessing public transport data across Europe.

Paprika 3 MCP Server

Okay, I understand! Here's how you can create and save recipes in Paprika using natural language. I'll provide examples and explanations to help you get started. **Understanding Paprika's Natural Language Parsing** Paprika is pretty good at understanding recipe instructions written in a natural, conversational style. It can automatically extract information like ingredients, quantities, directions, and even cooking times. However, it's not perfect, so you might need to tweak things after Paprika parses the text. **General Tips for Writing Recipes for Paprika:** * **Be Clear and Concise:** Use straightforward language. Avoid overly flowery or ambiguous descriptions. * **Use Standard Units:** Stick to common units like cups, tablespoons, teaspoons, ounces, grams, etc. * **Separate Ingredients and Directions:** Make sure the ingredients are clearly listed separately from the instructions. * **Use Line Breaks:** Use line breaks to separate each ingredient and each step in the directions. This helps Paprika parse the information correctly. * **Specify Cooking Times and Temperatures:** Include specific times and temperatures whenever possible. * **Use Action Verbs:** Start each direction step with a strong action verb (e.g., "Preheat," "Mix," "Bake," "Simmer"). **Example Recipe (Natural Language):** Here's an example of a recipe written in a way that Paprika should be able to understand: ``` **Recipe Name:** Chocolate Chip Cookies **Ingredients:** 1 cup (2 sticks) unsalted butter, softened 3/4 cup granulated sugar 3/4 cup packed brown sugar 1 teaspoon vanilla extract 2 large eggs 2 1/4 cups all-purpose flour 1 teaspoon baking soda 1 teaspoon salt 2 cups chocolate chips **Instructions:** Preheat oven to 375 degrees F (190 degrees C). Cream together the butter, granulated sugar, and brown sugar until smooth. Beat in the vanilla extract and then the eggs one at a time. Gradually stir in the flour, baking soda, and salt. Fold in the chocolate chips. Drop by rounded tablespoons onto ungreased baking sheets. Bake for 9-11 minutes, or until golden brown. Let cool on baking sheets for a few minutes before transferring to a wire rack to cool completely. ``` **How to Save in Paprika:** 1. **Open Paprika:** Launch the Paprika app on your device (iOS, Android, Mac, or Windows). 2. **Create a New Recipe:** Tap the "+" button (or the equivalent on your platform) to create a new recipe. 3. **Enter the Recipe Name:** Type the name of your recipe in the "Name" field. 4. **Copy and Paste (or Type):** Copy the recipe text (like the example above) and paste it into the "Recipe" field. Alternatively, you can type the recipe directly into the field. 5. **Parse the Recipe:** Tap the "Parse" button (it might look like a magic wand or a similar icon). Paprika will analyze the text and attempt to automatically identify the ingredients, directions, and other information. 6. **Review and Edit:** Carefully review the parsed information. Paprika might not get everything perfect. You can edit the ingredients, directions, cooking times, etc., to correct any errors. 7. **Save the Recipe:** Once you're satisfied with the recipe, tap the "Save" button. **More Examples and Variations:** Here are some variations and more complex examples to illustrate how Paprika handles different types of instructions: * **Ranges of Quantities:** ``` 1-2 tablespoons olive oil ``` * **Fractions:** ``` 1/2 cup chopped onions ``` * **Parenthetical Information:** ``` 1 (14.5 ounce) can diced tomatoes, undrained ``` * **Specific Brands (Sometimes):** ``` 1 package (8 ounces) cream cheese, Philadelphia brand ``` * **Cooking Times in Directions:** ``` Simmer for 30 minutes, or until the sauce has thickened. ``` * **More Complex Directions:** ``` In a large bowl, whisk together the flour, sugar, baking powder, and salt. In a separate bowl, whisk together the milk, melted butter, and egg. Pour the wet ingredients into the dry ingredients and stir until just combined. Do not overmix. ``` **Troubleshooting Tips:** * **If Paprika is having trouble parsing a specific ingredient or direction:** Try rephrasing it. Sometimes a slight change in wording can make a big difference. * **Check for Typos:** Even a small typo can throw off the parser. * **Use the Manual Entry Fields:** If Paprika really struggles with a particular aspect of the recipe, you can always manually enter the information into the appropriate fields (e.g., manually add an ingredient instead of relying on the parser). * **Paprika's Help Resources:** Consult Paprika's official documentation or help resources for more detailed information on natural language parsing. **Important Considerations:** * **Paprika's Parsing is Not AI:** It's based on rules and patterns. It's not a sophisticated AI that can understand context perfectly. * **Experiment and Learn:** The best way to learn how to write recipes for Paprika is to experiment and see what works best. **In summary, write your recipes clearly, use standard units, separate ingredients and directions, and use line breaks. Then, use Paprika's "Parse" function and carefully review the results.** Let me know if you'd like more examples or have any other questions!

Remote MCP Server on Cloudflare

A template for deploying MCP servers on Cloudflare Workers with OAuth authentication and SSE transport. Demonstrates how to create remote MCP servers that can be accessed by Claude Desktop and other MCP clients over HTTP.

SnapAPI MCP Server

MCP server for the SnapAPI web capture API. Take screenshots, scrape pages, extract structured data, generate PDFs, record videos, and run AI analysis on any URL — all from Claude, Cursor, VS Code, or any MCP client. 9 tools, 30+ device presets, ad/cookie blocking. Install: npx snapapi-mcp

Advanced Trello MCP Server

An enhanced Model Context Protocol server providing comprehensive integration between Trello and Cursor AI with 40+ tools covering multiple Trello API categories for complete project management.

Mattermost MCP Server

A Model Context Protocol server that enables Claude to interact with Mattermost instances, supporting post management, channel operations, user management, and reaction management.

compare-mcp

Enables multi-model code review by fanning out issues to multiple LLMs simultaneously, diffing their unique insights, optionally running debate rounds, and dispatching subagents to implement fixes with git commits.

Mcp Server Js

Um servidor MCP (Protocolo de Contexto de Modelo) que permite que plataformas de ✨ IA interajam com a infraestrutura do 🤖 YepCode. Transforme seus processos do YepCode em ferramentas poderosas que assistentes de IA podem usar 🚀

google-drive-mcp-server

Google Drive + Workspace MCP — 98 tools for Docs, Sheets, Slides, Shared Drives, Labels, Approvals. Supports OAuth2 and Service Account + Domain-Wide Delegation.

EU AI Act Compliance Chatbot

Um servidor MCP para responder a perguntas sobre a Lei de IA original da UE.

MCP Server

A TypeScript MCP server that evaluates MCP capabilities over RAG approaches, integrating with Google Calendar to enable querying meetings and events via chat.

paladin-swap-mcp

Multi-aggregator swap router for AI agents on Base. MCP-native, best-of-N across 0x and Velora, current flat 10 bps fee.

google-sheets-mcp

MCP server for Google Sheets - read, write, and query spreadsheet data.

mcp-garmin

MCP server for Garmin Connect that provides read-only access to daily health metrics, activities, workouts, and body composition data.

whatsapp-mcp-server

Connects AI assistants to the official Meta WhatsApp Cloud API for managing conversations and sending various message types through natural language. It provides tools for media management, template messages, and real-time webhook processing without the risk of account bans.

MCP for IIIF Images

Provides tools to fetch IIIF manifests and retrieve specific image regions or scaled images for analysis. This server enables detailed interaction with International Image Interoperability Framework resources, supporting tasks like image description and transcription.

MeshAI MCP Server

Enables Claude Code and other MCP-compatible tools to leverage MeshAI's multi-agent orchestration capabilities for code review, refactoring, debugging, documentation, architecture analysis, and feature development. Automatically selects appropriate AI agents based on task content and works with agents built on LangChain, CrewAI, AutoGen, and other frameworks.

stdout-mcp-server

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ScreenPilot

MCP server to let LLM take full control on your device by providing screen automation toolkit for controlling and interacting with graphical user interface

Echo MCP

A lightweight server that enables AI agents to emit and validate structured messages through MCP tool call returns. It facilitates reliable programmatic consumption of agent outputs by echoing validated payloads against predefined schemas.

Model Context Protocol (sse) servers

Servidores de Protocolo de Contexto de Modelo com SSE (Server-Sent Events)

pernosco-mcp

MCP server that connects AI coding agents to Pernosco debugging sessions for querying execution traces, inspecting variables, navigating call stacks, and tracing value histories through natural language.