Discover Awesome MCP Servers

document-reader-mcp

Universal MCP server for extracting text from various document formats including PDF, Excel, Word, CSV, and more, with support for streaming, limits, and markdown conversion.

nod-mcp-server

Enables AI agents to discover and interact with businesses by reading structured NOD manifests. Provides tools to look up business capabilities and check if specific actions like ordering food or booking appointments are supported.

Express MCP Server

A modular Model Context Protocol server implementation using Express.js that provides example mathematical and echo tools with HTTP streaming support and easy extensibility for adding custom tools.

Houdini MCP Server

Enables AI-assisted 3D content creation by allowing Claude Code to control SideFX Houdini directly, including creating nodes, setting parameters, executing HScript commands, and building complex procedural networks.

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.

Canvas Poke MCP

Connects Canvas LMS to Poke for proactive text reminders about upcoming assignments and deadlines.

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.

Roblox Studio MCP Server

Versão atualizada do servidor MCP do Roblox Studio com melhorias.

League of Legends Mock Match Predictor

AI-powered League of Legends tool that simulates mock matches and compares summoners based on historical performance data.

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.

payclaw-mcp

Tokenized user identity and virtual Visa cards for AI agents. Delegated user commerce- on existing Visa rails.

Apidog MCP Server

Enables AI tools to search and explore API documentation from Apidog projects or OpenAPI/Swagger specifications, providing endpoint details, schemas, and project statistics through natural language queries.

ahk-mcp

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

meta-ads-mcp

MCP server for Meta Marketing API v25.0 — 123 tools for Facebook & Instagram ad campaign management

thoughtgraph-mcp

Enables AI agents to persist and retrieve structured thinking graphs using SQLite-backed memory with support for CRUD operations, graph search, and path finding.

elasticsearch-mcp

Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.

Todoist MCP Server

Provides tools for AI assistants to manage tasks, projects, labels, sections, and comments via the Todoist API.

Outline Wiki MCP Server

Enables LLMs to interact with Outline wiki for document management, search, collections, and comments, with optional AI-powered features including RAG-based Q\&A and content summarization.

AFFiNE MCP Server

Enables interaction with AFFiNE workspaces through GraphQL API to manage documents, search content, handle comments, and access version history. Supports comprehensive workspace operations including document publishing, comment management, and user authentication via session cookies or personal access tokens.

Lenx MCP Server

Bridges AI agents to the Lenx.ai social media monitoring API, enabling task management like listing, creating, and exporting monitoring data.

Devici MCP Server

Enables interaction with the Devici API for managing threat models, security components, mitigations, users, teams, and collections through natural language.

MCP Inventario

Enables inventory management through MongoDB with tools for creating, listing, searching, updating, and deleting items and categories. Supports natural language interactions via Groq AI integration.

thales-cdsp-crdp-mcp-server

Enables AI applications to protect and reveal sensitive data via Thales CipherTrust CRDP service, supporting bulk operations, versioning, and monitoring.