Discover Awesome MCP Servers

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.

Conversation Search MCP Server

Enables comprehensive search and analysis of Claude Code conversation history using full-text search, optional semantic vector search, and conversation management tools. Provides fast SQLite-based indexing with role-based filtering, project organization, and hybrid search capabilities combining keyword and semantic matching.

eBay Analytics MCP Server by CData

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for eBay Analytics (beta): https://www.cdata.com/download/download.aspx?sku=JJZK-V&type=beta

ahk-mcp

Servidor MCP que expõe a funcionalidade AutoHotkey, permitindo que interfaces de modelo automatizem tarefas no Windows.

SuperMapMCP

Aqui está uma tradução do texto "MCP Client e Server, 实现shapefile导入到数据库" para português: **Cliente e Servidor MCP, implementando a importação de shapefiles para o banco de dados.** Uma tradução alternativa, dependendo do contexto, poderia ser: **Cliente e Servidor MCP para implementar a importação de shapefiles para um banco de dados.** A escolha da melhor tradução depende do quão formal você precisa ser e se você está descrevendo algo que já foi implementado ou algo que está sendo planejado.

Jokes MCP Server

A Model Context Protocol server that provides jokes on demand, allowing users to request different types of jokes (Chuck Norris, Dad jokes, etc.) through Microsoft Copilot Studio or GitHub Copilot.

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Docker Manager MCP

Enables AI assistants to manage Docker containers, deploy stacks, and monitor services across multiple Docker hosts from one centralized location. Supports container lifecycle management, Docker Compose operations, and infrastructure orchestration through natural language commands.

Abacate Pay MCP Server

Enables integration with Abacate Pay API for managing payments, customers, and billing through AI assistants. Supports multi-tenancy, PIX QR codes, discount coupons, and payment simulation with secure per-request API key authentication.

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.

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!

Garza Home MCP

Personal home automation server integrating unified messaging (Beeper), home security (Abode), UniFi cameras/sensors, ProtonMail, knowledge graphs (Graphiti), Bible resources, and push notifications across 49 tools.

Sketchup Integration

Conecta o SketchUp ao Claude AI através do Protocolo de Contexto do Modelo, permitindo que o Claude interaja diretamente e controle o SketchUp para modelagem 3D assistida por prompts e manipulação de cenas.

MCP Sigmund

Enables AI assistants to analyze personal financial data from Open Banking sources stored in PostgreSQL database. Provides educational financial analysis tools with intelligent formatting for learning about spending patterns, account balances, and transaction history.

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.

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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

Barebones MCP Server

A minimal, dockerized template for creating HTTP-based Model Context Protocol servers. Provides a starting point with FastMCP framework integration and includes a sample cat fact tool that can be replaced with custom functionality.

Bluesky MCP Server

Enables AI agents to interact with Bluesky social network through optimized, token-efficient tools for posting, replying, searching, and managing social relationships. Features Windows-compatible implementation with context cleanup to minimize LLM token consumption.

QMD - Query Markdown

Provides hybrid search over local markdown knowledge bases using BM25 keyword search and vector semantic search. Enables indexing, querying, and retrieving markdown documentation with dual-mode support for local and remote agents.