# MCP connectors for Claude Code

> Find MCP connectors for Claude Code in the Doutor AI library. Easily connect external tools to your project.

- Source: https://doutorai.pt/en/claude-code/mcps
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

MCP (Model Context Protocol) connectors are essential components that link Claude Code to a wide range of external tools. With 88 options available in the Doutor AI library, these connectors give you a simple, effective way to expand what your application can do.

Installing MCP connectors through Doutor AI not only makes integration easier, it also means you get up-to-date, optimized components. Add functionality to your project and get the most out of artificial intelligence with these connector solutions.

## Explore connectors

- [alpaca-trading](https://doutorai.pt/en/components/mcps__alpaca-trading): Trading platform MCP server enabling stock, ETF, crypto, and options trading via Alpaca's API. Supports market data, portfolio management, and order execution.
- [android-mcp](https://doutorai.pt/en/components/mcps__android-mcp): MCP Server for interacting with Android devices. Control, inspect, and automate Android devices via ADB through Claude.
- [apify](https://doutorai.pt/en/components/mcps__apify): Extract data from social media, search engines, maps, and e-commerce sites using Apify's ready-made scrapers and actors via MCP.
- [arxiv-mcp-server](https://doutorai.pt/en/components/mcps__arxiv-mcp-server): Search, download, and analyze academic papers from arXiv. Supports full-text search, paper retrieval, and local storage for research workflows.
- [azure-kubernetes-service](https://doutorai.pt/en/components/mcps__azure-kubernetes-service): The AKS-MCP is a Model Context Protocol (MCP) server that enables AI assistants to interact with Azure Kubernetes Service (AKS) clusters. It serves as a bridge 
- [box](https://doutorai.pt/en/components/mcps__box): The Box MCP Server is a Python project that integrates with the Box API to perform various operations such as file search, text extraction, AI-based querying, a
- [brightdata](https://doutorai.pt/en/components/mcps__brightdata): Bright Data MCP server providing 60+ tools for web search, scraping, structured data extraction, and browser automation across major platforms
- [browser-use-mcp-server](https://doutorai.pt/en/components/mcps__browser-use-mcp-server): An MCP server that enables AI agents to control web browsers using browser-use.
- [browseract](https://doutorai.pt/en/components/mcps__browseract): BrowserAct cloud browser automation for structured data extraction from Amazon, YouTube, Google Maps, Google News, Reddit, WeChat, Zhihu and more
- [browsermcp](https://doutorai.pt/en/components/mcps__browsermcp): With Browser MCP, you can use MCP to automate your browser so that AI applications can navigate the web, fill out forms, and more.
- [chrome-devtools](https://doutorai.pt/en/components/mcps__chrome-devtools): A Model Context Protocol server for interacting with Chrome DevTools, enabling browser automation, debugging, and performance analysis capabilities.
- [circleci](https://doutorai.pt/en/components/mcps__circleci): Integrate CircleCI build and deployment pipeline management with your Claude Code workflow. Monitor builds, trigger deployments, and access project insights.
- [codacy](https://doutorai.pt/en/components/mcps__codacy): MCP Server for the Codacy API, enabling access to repositories, files, quality, coverage, security and more.
- [context7](https://doutorai.pt/en/components/mcps__context7): Context7 by Upstash pulls up-to-date, version-specific documentation and code examples straight from the source and injects them into your prompt. Add 'use cont
- [dbhub](https://doutorai.pt/en/components/mcps__dbhub): Zero-dependency, token-efficient database MCP server supporting PostgreSQL, MySQL, MariaDB, SQL Server, and SQLite connections.
- [deepgraph-nextjs](https://doutorai.pt/en/components/mcps__deepgraph-nextjs): Deep code analysis and visualization for Next.js projects. Understand component relationships, dependencies, and architecture patterns.
- [deepgraph-react](https://doutorai.pt/en/components/mcps__deepgraph-react): Analyze React component hierarchies, state flows, and dependencies. Visualize your React application architecture.
- [deepgraph-typescript](https://doutorai.pt/en/components/mcps__deepgraph-typescript): Comprehensive TypeScript code analysis with type mapping, interface relationships, and module dependency tracking.
- [deepgraph-vue](https://doutorai.pt/en/components/mcps__deepgraph-vue): Analyze Vue.js applications including component composition, reactive data flow, and template-script relationships.
- [dynatrace](https://doutorai.pt/en/components/mcps__dynatrace): Manage and interact with the Dynatrace Platform for real-time observability and monitoring.
- [elasticsearch](https://doutorai.pt/en/components/mcps__elasticsearch): MCP server for connecting to Elasticsearch data and indices. Supports search queries, mappings, ES|QL, and shard information through natural language interactio
- [elevenlabs](https://doutorai.pt/en/components/mcps__elevenlabs): Official ElevenLabs MCP for text-to-speech, voice cloning, audio processing, and transcription. Generate AI voices, design custom voices, isolate audio, create 
- [explorium](https://doutorai.pt/en/components/mcps__explorium): Explorium MCP - live B2B company and contact data (150M+ businesses, 800M+ professionals, 4,000+ signals, 50+ data sources) for lead-list building, prospect enr
- [facebook-ads-mcp-server](https://doutorai.pt/en/components/mcps__facebook-ads-mcp-server): This project provides an MCP server acting as an interface to the Meta Ads, enabling programmatic access to Meta Ads data and management features.
- [figma-dev-mode](https://doutorai.pt/en/components/mcps__figma-dev-mode): The Dev Mode MCP server brings Figma directly into your workflow by providing important design information and context to AI agents generating code from Figma d
- [filesystem-access](https://doutorai.pt/en/components/mcps__filesystem-access): Secure filesystem access for Claude Code with configurable directory permissions and file operations.
- [firecrawl](https://doutorai.pt/en/components/mcps__firecrawl): A Model Context Protocol (MCP) server implementation that integrates with Firecrawl for web scraping capabilities.
- [firefly-mcp](https://doutorai.pt/en/components/mcps__firefly-mcp): Connect to Firefly AI services for advanced AI-powered development assistance, code analysis, and intelligent suggestions directly in your Claude Code environme
- [flatten-mcp](https://doutorai.pt/en/components/mcps__flatten-mcp): Flatten Claude Code sessions: moves bulky tool output into a sidecar file and keeps every prompt and event verbatim, so the same conversation resumes at a lower
- [footballbin-predictions](https://doutorai.pt/en/components/mcps__footballbin-predictions): AI-powered football match predictions for Premier League and Champions League. Returns half-time scores, full-time scores, next goal scorer, corner counts, and 
- [github-integration](https://doutorai.pt/en/components/mcps__github-integration): Direct GitHub API integration for repository management, issue tracking, pull requests, and collaborative development workflows.
- [github-official](https://doutorai.pt/en/components/mcps__github-official): GitHub's official MCP Server. Interact with GitHub repositories, issues, pull requests, and more directly from Claude.
- [google-ads-mcp-server](https://doutorai.pt/en/components/mcps__google-ads-mcp-server): A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication
- [google-workspace](https://doutorai.pt/en/components/mcps__google-workspace): Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms, Tasks, Search, and Drive with AI via Google Workspace MCP.
- [grafana](https://doutorai.pt/en/components/mcps__grafana): A Model Context Protocol server for interacting with Grafana dashboards and monitoring. Supports both self-hosted Grafana instances and Grafana Cloud.
- [huggingface](https://doutorai.pt/en/components/mcps__huggingface): Access Hugging Face models, datasets, Spaces, papers, collections via MCP.
- [imagesorcery](https://doutorai.pt/en/components/mcps__imagesorcery): An MCP server providing tools for image processing operations
- [ios-simulator-mcp](https://doutorai.pt/en/components/mcps__ios-simulator-mcp): Control iOS Simulator directly from Claude Code. Launch apps, take screenshots, manage device states, and streamline mobile development workflows.
- [jfrog](https://doutorai.pt/en/components/mcps__jfrog): JFrog MCP Server: providing your agents with direct access to JFrog Platform services.
- [jina-ai](https://doutorai.pt/en/components/mcps__jina-ai): Official Jina AI MCP Server for web reading, search, grounding, and fact-checking capabilities powered by Jina AI APIs.
- [jupyter](https://doutorai.pt/en/components/mcps__jupyter): Model Context Protocol server for Jupyter notebooks. Execute code, manage notebooks, and interact with Jupyter kernels directly from Claude.
- [just-mcp](https://doutorai.pt/en/components/mcps__just-mcp): Execute Just commands and task runners seamlessly from Claude Code. Manage project tasks, run build scripts, and automate development workflows with Just integr
- [launchdarkly](https://doutorai.pt/en/components/mcps__launchdarkly): Official LaunchDarkly MCP Server for feature flag management and experimentation. Enables AI agents to interact with LaunchDarkly APIs for managing feature flag
- [leetcode](https://doutorai.pt/en/components/mcps__leetcode): A Model Context Protocol (MCP) server for LeetCode that enables AI assistants to access LeetCode problems, user information, and contest data.
- [logfire](https://doutorai.pt/en/components/mcps__logfire): Provides access to OpenTelemetry traces and metrics through Logfire.
- [markitdown](https://doutorai.pt/en/components/mcps__markitdown): Convert various file formats (PDF, Word, Excel, images, audio) to Markdown.
- [mcp-server-atlassian-bitbucket](https://doutorai.pt/en/components/mcps__mcp-server-atlassian-bitbucket): A Node.js/TypeScript Model Context Protocol (MCP) server for Atlassian Bitbucket Cloud. Enables AI systems (e.g., LLMs like Claude or Cursor AI) to securely int
- [mcp-server-browserbase](https://doutorai.pt/en/components/mcps__mcp-server-browserbase): This server provides cloud browser automation capabilities using Browserbase and Stagehand. It enables LLMs to interact with web pages, take screenshots, extrac
- [mcp-server-playwright](https://doutorai.pt/en/components/mcps__mcp-server-playwright): A Model Context Protocol server that provides browser automation capabilities using Playwright
- [memex-mcp](https://doutorai.pt/en/components/mcps__memex-mcp): Developer context continuity for AI coding agents. Watches your git repos and builds a temporal knowledge graph of modules, symbols, decisions, and open problem
- [memory-integration](https://doutorai.pt/en/components/mcps__memory-integration): Persistent memory and context management for Claude Code sessions. Store and recall information across conversations and projects.
- [mermaid](https://doutorai.pt/en/components/mcps__mermaid): Generate Mermaid diagrams and charts dynamically with AI. Create flowcharts, sequence diagrams, class diagrams, and more via MCP.
- [microsoft-dev-box](https://doutorai.pt/en/components/mcps__microsoft-dev-box): This server enables natural language interactions for developer-focused operations like managing Dev Boxes, configurations, and pools.
- [monday](https://doutorai.pt/en/components/mcps__monday): Enable AI agents to operate reliably within real workflows. This MCP is monday.com's open framework for connecting agents into your work OS - giving them secure
- [mongodb](https://doutorai.pt/en/components/mcps__mongodb): A Model Context Protocol server to connect to MongoDB databases and MongoDB Atlas Clusters.
- [mongodb-official](https://doutorai.pt/en/components/mcps__mongodb-official): Official MongoDB MCP Server by MongoDB. Connect to MongoDB databases and Atlas clusters for querying, aggregation, and collection management.
- [mysql-integration](https://doutorai.pt/en/components/mcps__mysql-integration): Connect to MySQL databases for direct data access, queries, and database management within Claude Code workflows.
- [n8n-mcp](https://doutorai.pt/en/components/mcps__n8n-mcp): Build and manage n8n workflows directly from Claude. Includes a pre-built database with all n8n node documentation for workflow automation.
- [neon](https://doutorai.pt/en/components/mcps__neon): MCP server for interacting with Neon Management API and databases
- [notion](https://doutorai.pt/en/components/mcps__notion): Official MCP server for Notion API
- [playwright-mcp](https://doutorai.pt/en/components/mcps__playwright-mcp): A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages throug
- [playwright-mcp-server](https://doutorai.pt/en/components/mcps__playwright-mcp-server): A Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screen
- [postgresql-documentation](https://doutorai.pt/en/components/mcps__postgresql-documentation): PostgreSQL documentation and skills for writing better Postgres code
- [postgresql-integration](https://doutorai.pt/en/components/mcps__postgresql-integration): Connect to PostgreSQL databases for advanced data operations, complex queries, and enterprise database management.
- [postman](https://doutorai.pt/en/components/mcps__postman): Postman's MCP server connects AI agents, assistants, and chatbots directly to your APIs on Postman. Use natural language to prompt AI to automate work across yo
- [pulumi](https://doutorai.pt/en/components/mcps__pulumi): The Pulumi Model Context Protocol (MCP) server enables advanced Infrastructure as Code development capabilities for connected agents, providing tools for cloud 
- [railway](https://doutorai.pt/en/components/mcps__railway): Railway MCP server provides seamless integration with Railway's deployment platform, enabling Claude to manage projects, deployments, and infrastructure directl
- [redis](https://doutorai.pt/en/components/mcps__redis): Official Redis MCP Server providing natural language interface for Redis databases. Query, manage, and interact with Redis data through Claude.
- [searxng](https://doutorai.pt/en/components/mcps__searxng): MCP Server for SearXNG, a privacy-respecting metasearch engine. Perform web searches across multiple search engines without tracking.
- [sentry](https://doutorai.pt/en/components/mcps__sentry): This service implements the Model Context Protocol (MCP) for interacting with Sentry, focused on human-in-the-loop coding agents and developer workflows rather 
- [sentry-local](https://doutorai.pt/en/components/mcps__sentry-local): Official Sentry MCP Server (local). Run Sentry integration locally via npx for debugging, error tracking, and performance monitoring.
- [serena](https://doutorai.pt/en/components/mcps__serena): Semantic code retrieval & editing tools for coding agents.
- [stripe](https://doutorai.pt/en/components/mcps__stripe): Let your AI agents interact with the Stripe API by using our MCP server.
- [supabase](https://doutorai.pt/en/components/mcps__supabase): Connect your Claude Code to Supabase using MCP
- [terraform](https://doutorai.pt/en/components/mcps__terraform): The Terraform MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Terraform Registry APIs, enabling advanced automation 
- [testsprite](https://doutorai.pt/en/components/mcps__testsprite): TestSprite’s MCP reads your intent, tests your code, and tells you what to fix.
- [tinyfish](https://doutorai.pt/en/components/mcps__tinyfish): TinyFish Web Agent - Web browsing and data extraction via MCP with real-time progress streaming, async tasks, and stealth browser profiles. Requires a TinyFish 
- [trace-mcp](https://doutorai.pt/en/components/mcps__trace-mcp): Framework-aware code intelligence - semantic navigation, impact analysis, and refactoring across 60 framework integrations and 81 languages with up to 99% token
- [web-fetch](https://doutorai.pt/en/components/mcps__web-fetch): Web content fetching and data extraction capabilities. Access external APIs, scrape web content, and integrate external data sources.
- [web-reader](https://doutorai.pt/en/components/mcps__web-reader): Web Reader MCP Server - Z.AI implementation based on the Model Context Protocol (MCP). Provides Claude Code, Cline, and other MCP-compatible clients with powerf
- [web-search-prime](https://doutorai.pt/en/components/mcps__web-search-prime): Web Search MCP Server - Z.AI search capability implementation based on the Model Context Protocol (MCP), providing powerful Z.AI search capabilities for MCP-com
- [webflow](https://doutorai.pt/en/components/mcps__webflow): Enable AI agents to interact with Webflow APIs.
- [zai-mcp-server](https://doutorai.pt/en/components/mcps__zai-mcp-server): Vision MCP Server - Z.AI capability implementation based on the Model Context Protocol (MCP), providing powerful Z.AI GLM-4.6V capabilities for MCP-compatible c
- [zread](https://doutorai.pt/en/components/mcps__zread): Zread MCP Server - Z.AI implementation based on the Model Context Protocol (MCP). Powered by zread.ai, it provides Claude Code, Cline, and other MCP-compatible 
- [mcp-builder](https://doutorai.pt/en/components/mcps__anthropics-skills__mcp-builder): Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when b
- [mcp-server-builder](https://doutorai.pt/en/components/mcps__alirezarezvani-claude-skills__mcp-server-builder): Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript suppor
- [setup-arxiv-mcp](https://doutorai.pt/en/components/mcps__neolab-context-engineering-kit__setup-arxiv-mcp): Guide for setup arXiv paper search MCP server using Docker MCP
- [setup-codemap-cli](https://doutorai.pt/en/components/mcps__neolab-context-engineering-kit__setup-codemap-cli): Guide for setup Codemap CLI for intelligent codebase visualization and navigation
- [setup-serena-mcp](https://doutorai.pt/en/components/mcps__neolab-context-engineering-kit__setup-serena-mcp): Guide for setup Serena MCP server for semantic code retrieval and editing capabilities
- [setup-context7-mcp](https://doutorai.pt/en/components/mcps__neolab-context-engineering-kit__setup-context7-mcp): Guide for setup Context7 MCP server to load documentation for specific technologies.
- [build-mcp](https://doutorai.pt/en/components/mcps__neolab-context-engineering-kit__build-mcp): Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when b
- [mcp-builder](https://doutorai.pt/en/components/mcps__davepoon-subagents__mcp-builder): Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when b

## How to install MCP connectors in Claude Code

Installing MCP connectors in Claude Code is an intuitive process. Just open the Doutor AI library, select the connector you want and follow the integration instructions. This process lets developers easily connect Claude to external tools, for a smooth and efficient experience.

## Use cases for MCP connectors in AI projects

MCP connectors are used in many scenarios, from task automation to real-time data analysis. Companies that use Claude Code can benefit from integration with CRM systems, e-commerce platforms and much more, which increases the productivity and effectiveness of their processes.

## The difference between MCP connectors and other types of connectors

MCP connectors stand apart from other types of connectors because they can provide a specific model context for communication between systems. While other connectors may only pass data along, MCP connectors allow a richer, more contextual interpretation, which is essential for AI applications.

## By use case

If you already know the task you want to solve, start from a hand-picked selection: we chose the components that are really worth it and explain why. [Code review](https://doutorai.pt/en/for/code-review) · [Automated testing](https://doutorai.pt/en/for/automated-testing) · [Databases](https://doutorai.pt/en/for/databases) · [Frontend and interfaces](https://doutorai.pt/en/for/frontend-and-ui) · [DevOps and deployment](https://doutorai.pt/en/for/devops-and-deployment) · [Debugging](https://doutorai.pt/en/for/debugging). [See all use cases](https://doutorai.pt/en/for).

## Frequently asked questions

### What are MCP connectors?

MCP (Model Context Protocol) connectors are components that link Claude Code to external tools, making communication and data exchange easier.

### What are the main benefits of using MCP connectors?

The main benefits include simpler integration with a wide range of tools, access to real-time data and the ability to expand what Claude Code can do.

### How can I find MCP connectors in the Doutor AI library?

MCP connectors are easy to find in the Doutor AI library, where they are organized by category and function, so you can search quickly and effectively.

### Is it hard to install MCP connectors?

No, installing MCP connectors is a simple process that involves following the instructions available in the Doutor AI library, which makes it accessible to developers of every level.

### Are MCP connectors updated regularly?

Yes, Doutor AI makes sure MCP connectors are updated regularly to offer best practices and compatibility with the latest versions of Claude Code.

## Save hours every week with AI, no hassle

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/claude-code/mcps