🧩 MCPs

Model-Context-Protocol (MCP) is an AI architecture pattern that separates intelligence into three key layers: Model: The core AI/ML algorithm that performs learning or inference. Context: The environment or situational data that influences how the model behaves. Protocol: The communication rules or interface that connects models, contexts, or external systems. This structure enables modular, scalable, and context-aware AI systems, ideal for multi-agent AI, robotics, IoT, and real-time decision-making.

Integrates with pykrx to provide real-time access to KOSPI and KOSDAQ stock market data, offering tools for retrieving ticker symbols, OHLCV data, market capitalization, fundamental metrics, and trading volumes.

Integrates with Figma's design platform API to enable AI-driven design operations, asset management, and team collaboration within Figma workflows.

DButils is an all-in-one MCP service that enables your AI to do data analysis by accessing versatile types of database (sqlite, mysql, postgres, and more) within a unified connection configuration in a safe way.

Streamlines code context sharing with LLMs by implementing smart file selection, code outlining, and multi-language support for efficient code reviews and documentation generation.

Integration with FireCrawl to provide advanced web scraping capabilities for extracting structured data from complex websites.

Let Cursor make outbound phone calls on your behalf. If you

Search and analyze academic papers from the arXiv repository.

Integrates with Linkup Technologies' API to enable web searches for information gathering, fact-checking, and research tasks.

Send messages, manage channels, and access workspace history.

Search and analyze Markdown notes in Obsidian vaults.

MCP server providing time and timezone conversion tools for AI assistants to handle localized time data and calculations.

Build and query persistent semantic networks for data management.

Automate web browsers for testing, scraping, and visual analysis.

Access Confluence pages and Jira issues via Atlassian API.

Implements a structured sequential thinking process for breaking down complex problems, iteratively refining solutions, and exploring multiple reasoning paths.

Interact with local Git repositories for version control tasks.

Access and analyze Postgres databases with read-only queries.

Manage repositories, issues, and search code via GitHub API.

Install and configure additional MCP servers dynamically.

Retrieve and convert web content to markdown for analysis.

Retrieve web pages, news, and local business results via Brave API.

Implements SQLite functionality in Node.js.

Manage KV stores, R2 storage, D1 databases, and Workers deployments.

Integrates with Deepseek models via a simple API bridge.

Comprehensive MCP server providing real-time framework documentation access for Claude Code with intelligent caching, multi-source integration, and context-aware assistance.

Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools. It turns Keboola features—like storage access, SQL transformations, and job triggers—into callable tools for Claude, Cursor, CrewAI, LangChain, Amazon Q, and more.

Integrates with DuckDuckGo to provide web search capabilities, content fetching, and parsing, with results formatted for large language model consumption.

Context Engineer MCP is an IDE-agnostic orchestration layer that eliminates context loss when working with AI coding agents. It automatically analyzes your local codebase, generates structured documentation (PRDs, epics, stories, tech specs, and diagrams), and feeds it back into your agents. This ensures better planning, cleaner implementations, and scalable feature development—without the chaos of fragmented context across tools.

Integrates with Stripe's API to enable payment processing, customer management, and financial operations for e-commerce and billing workflows.

Navigate websites, fill forms, and capture screenshots programmatically.

A fully managed remote MCP server that provides up-to-date documentation, code samples, and other official AWS content.

Package codebases into AI-friendly single files with intelligent code structure preservation and token optimization.

Read, write, and manipulate local files through a controlled API.

This server provides integration with Github's issue tracking system through MCP, allowing LLMs to interact with Github issues.

he AWS API MCP Server enables AI assistants to interact with AWS services and resources through AWS CLI commands. It provides programmatic access to manage your AWS infrastructure while maintaining proper security controls.

Monitor crash reports and performance metrics for application stability.

This MCP server provides access to a curated database of scientific articles dedicated to terahertz science and technology. The collection includes publications on terahertz sources and detectors, time-domain spectroscopy, FMCW radar, imaging and spectroscopy techniques, as well as applications in non-destructive testing, cultural heritage, biomedical analysis, and advanced materials.

Integrates MotherDuck and local DuckDB databases for flexible querying and analysis of structured data in MCP-compatible environments.

Search and retrieve AI-enhanced web results via Tavily.

Provides a persistent Python execution environment for interactive code development, data analysis, and rapid prototyping.

Use MCP tools within LangChain-powered applications.

Interact with JetBrains IDEs for code analysis and development tasks.

Manage containers and compose stacks through natural language.

Test protocol features and tools for client compatibility.

Search and analyze scientific papers from arXiv.

Document format conversion using Pandoc, enabling transformation of content between PDF, HTML, Markdown, .docx, .rst, .epuc, .latex, and more.

Access location data, geocoding, and place details through Maps API.

MCPunk provides tools for performing Roaming RAG

Integrates voice interaction capabilities using faster-whisper and PyAudio for speech recognition and synthesis, enabling natural language voice interfaces for AI models.

Integrates with the Graphlit platform to enable natural language processing tasks and data retrieval from the Graphlit ecosystem.

Enables AI assistants to search the web in real-time through OpenAI's websearch functionality, retrieving up-to-date information beyond training data cutoffs with configurable search parameters.

Execute whitelisted shell commands on the host system via asyncio.

Leverage Pinecone vector databases for semantic search and RAG.

Integrates with Video Jungle API to enable AI-powered video editing and content searching through natural language queries and automated clip generation.

Integrates with Perplexity AI API to enable web search capabilities for retrieving up-to-date information across domains.

Integrates with make to enable execution of Makefile targets, automating build processes and development tasks for software projects.

Connect to open data from millions of open government, NGO, and company datasets.

Enables MCP capabilities in Cloudflare Workers for deploying low-latency, scalable AI services at the network edge.

Provides flexible, timezone-aware date and time formatting across various locales.

Integrates with Lighthouse.one cryptocurrency portfolio tracker to fetch and display detailed portfolio data including total value, asset allocations, and major holdings through secure token-based authentication.

Integrates WeCom (WeChat Work) bot functionality for enterprise messaging, notifications, and interactive chatbots.

Get package version data from npm and PyPI registries to assist with dependency management.

Create and manage conversations with OpenAI assistants.

Integrates Anki flashcard functionality, enabling natural language interactions for spaced repetition learning within conversations.

Enables AI interaction with markdown documentation files through a SQL-like query format for creating, reading, updating, and searching documentation with YAML frontmatter metadata support in Node.js and Deno environments.

Integrates with DuckDuckGo search engine to provide real-time web information retrieval for research, fact-checking, and current events updates.

Provides a LibSQL-based persistent memory database for storing and retrieving knowledge graph entities and relations across conversations.

Control browsers to perform sophisticated web interactions and visual tasks.

Leverage Rememberizer's document API for AI-powered semantic search and retrieval of enterprise knowledge.

Integrates with MongoDB Atlas to enable creating and managing database resources including clusters, network access, users, and connection strings using TypeScript and the MongoDB Atlas API.

Provides efficient access to NPM/Go/Python package documentation through smart parsing and caching, enabling quick retrieval of up-to-date library information.

Integrates DeepSeek's language models, enabling AI-powered chat completions with customizable parameters for tasks like writing assistance and code generation.

Integrates with OpenDAL to provide unified access to diverse storage backends, enabling LLMs to read from and write to various storage systems for data management tasks.

Integrates SearXNG's meta-search capabilities to provide privacy-focused, customizable search results from multiple engines for diverse information retrieval scenarios.

Interact with MySQL databases to execute queries and manage connections.

Enables code modification and generation tasks through file operations, search-and-replace, and version control integration for automated refactoring and codebase maintenance.

Integrates with EverArt API to generate images from text prompts using multiple AI models for creative and visual design tasks.

Control and monitor K8s clusters for management and debugging.

Provides structured problem-solving tools for step-by-step analysis, branching thoughts, and adaptive reasoning strategies in complex decision-making processes.

Capable of controlling and pulling from Cursor IDE, powering development workflows.

Integrates with DevRev APIs to enable search and retrieval of DevRev data for automated issue tracking, customer support analysis, and data-driven decision making.

Create and manage X/Twitter posts.

Interact with Home Assistant for querying and controlling smart home devices.

Integrates with external resources to provide curated development knowledge for code generation, bug fixing, and context-aware programming advice.

Enables AI to compose and send emails through the Resend API with customizable sender addresses, reply-to fields, and scheduled delivery options

Query and analyze MongoDB databases via natural language.

Integrates with Sentry.io for retrieving and analyzing error reports, stacktraces, and debugging information, enabling developers and support teams to streamline issue tracking and debugging workflows.

Secure shell command execution server for AI models to interact with local systems while maintaining strict security controls.

Integrates with LlamaIndexTS to provide access to various LLM providers for code generation, documentation writing, and question answering tasks

Integrates with the qrencode utility to generate QR codes dynamically, supporting various output formats and configuration options for flexible use in applications and workflows.

Enable long-running Python REPL execution on a remote machine

Enables real-time communication with Telegram users via bots, supporting asynchronous messaging and secure chat interactions.

Integrates with PubMed to enable searching, retrieving, and accessing medical research articles for evidence-based healthcare data.

Executes Postman collections to run API tests, validate responses, and generate reports for automated testing and documentation workflows.

Manage Docker containers, bridged by the Docker SDK for Python.

Integrates with multiple 3D printer management systems to enable remote control, file handling, and advanced STL manipulation for automated print job management and custom model modifications.

Integrates note-taking capabilities with AI models using TypeScript and DynamoDB for persistent memory and context management in applications.

Integrates with the X API v2 to enable post, search, and reply to tweets.

Integrates with Zotero to enable searching libraries, retrieving metadata, and accessing full-text content for scholarly research workflows.

Integrates with Netskope API to manage private access infrastructure, enabling automated publisher lifecycle, app configuration, policy creation, and traffic diagnostics.

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