Discover Awesome MCP Servers

Context Sync

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.

Synthetics MCP Server

A specialized monitoring solution that enables users to create and manage synthetic tests through natural language prompts, providing seamless integration with APIs like Splunk Synthetics.

SimDoc MCP Server

Enables access to scientific simulation documentation and code snippets for simulators like PyBaMM and Cantera. Provides AI-powered search and retrieval of simulation examples and documentation through natural language queries.

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 Logging Assistant

Provides comprehensive logging and monitoring capabilities for MCP services with real-time log tailing, advanced search, error analysis, and anomaly detection. Enables centralized log aggregation, correlation tracking, and health monitoring across all MCP ecosystem services.

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.

Ics Ap Apis MCP Server

Provides access to Ics Ap Apis API endpoints with authentication support, enabling API interactions through the MCP protocol.

MCP AI Bug Helper

Provides emergency coding assistance by querying three AI coding models simultaneously through OpenRouter, with automatic premium fallback on rate limits, returning multiple expert opinions with cost and latency telemetry for debugging and problem-solving.

Log Analyzer with MCP

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

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.

Greply MCP Server

Enables file and directory searching through the greply CLI tool with configurable search options like context lines, case sensitivity, and pattern matching. Provides direct access to powerful grep-like functionality from MCP-compatible clients.

Google Drive MCP Server

Enables searching, reading, and commenting on Google Drive documents through secure OAuth2 authentication, with support for creating styled notes directly in document content.

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

Interactive Feedback MCP

A Model Context Protocol server that enables AI assistants to request user feedback at critical points during interactions, improving communication and reducing unnecessary tool calls.

ai-dev-mcp-server-test-1743931217520

AI 기반 개발 MCP 서버

Model Context Protocol (sse) servers

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

Apple Events MCP Server

Provides native integration with Apple Reminders and Calendar on macOS, enabling full CRUD operations and smart task management through the Model Context Protocol. It allows users to search, create, and organize reminders and calendar events using natural language via the macOS EventKit framework.

MCPFinanceiro

A server for managing financial accounting entries that provides utilities for database access using SQLAlchemy with environment-based configuration.

MCP Markdown Template

Automatically transforms markdown templates (like GitHub Issue templates) into MCP tools and FastAPI endpoints. Load templates from local files, directories, or URLs to create typed API endpoints with Swagger UI documentation.

commercetools MCP Essentials

An MCP server that enables AI agents to interact with the commercetools Composable Commerce platform. It provides tools for managing products, categories, orders, carts, and customer data through secure read and write operations.

Roblox Studio MCP Server

Versão atualizada do servidor MCP do Roblox Studio com melhorias.

macOS Calendar MCP Server

A Model Context Protocol server that enables direct integration with macOS Calendar application using AppleScript, allowing users to create, list, and search calendar events without requiring OAuth setup.

OSRS MCP Server

MCP Server for interacting with Old School RuneScape Wiki API and game data files, providing tools to search the OSRS Wiki and access game data definitions through the Model Context Protocol.

Helios-9 MCP Server

Provides comprehensive project management capabilities through the Helios-9 API, enabling AI agents to create and manage projects, tasks, initiatives, and documents with full hierarchy support and AI-optimized metadata.