# Connect Mcp Ai Agents **Source:** https://pt-pt.multilipi.com/help/connect-mcp-ai-agents **Language:** Portugal Portuguese --- ARTIGO DE AJUDA # How to Connect the MultiLipi MCP Server to Your AI Agents ![MultiLipi](/_next/image?url=https%3A%2F%2Fik.imagekit.io%2Fmultilipi%2Fmedia%2Fprofile_images%2Fpost_LIb3wFf.png&w=3840&q=75) MultiLipi •7/6/2026• 5 min ler ![How to Connect the MultiLipi MCP Server to Your AI Agents](/_next/image?url=https%3A%2F%2Fik.imagekit.io%2Fmultilipi%2Fmedia%2Fcover_images%2Fhelp_center_1_4gEpZcz.png&w=3840&q=75) ## What is the MultiLipi MCP Server? The bridge between your AI tools and your localization data. O **Protocolo de Contexto de Modelo (MCP)** is an open standard developed to give AI models structured, secure access to external tools, databases, and SaaS platforms. Instead of forcing you to navigate web dashboards, click buttons, or manually copy-paste text, the MultiLipi MCP server links your account data **directly into the context window** of cutting-edge AI environments. By connecting MultiLipi's MCP architecture to large language models (LLMs) or developer environments like **ChatGPT, Claude Desktop, Gemini, Cursor,**or **Windsurf**, you turn your AI into an **Autonomous Localization Agent**. The model can directly read your project states, fetch translation analytics, upload bulk glossaries, or alter project configurations using pure natural language commands. 🤖 ### From Dashboard Clicks to Natural Language Commands MCP eliminates the entire web dashboard loop. Instead of logging in, clicking through menus, and manually editing fields, you simply type a request to your AI — and it executes the operation directly against your live MultiLipi account. This is the same approach powering the next generation of Otimização de LLM workflows, and now it's available for your entire localization stack. ## Key Features & Agentic Capabilities What your AI co-pilot can do once connected. Once connected, your AI model acts as a **co-pilot with deep operational access** to your MultiLipi project. It bypasses manual visual interfaces completely, performing complex tasks via chat in seconds. ### Automated Project Onboarding Command your agent to configure a new localization setup, map domain rules, add target languages, and define industry context — all through a single conversational prompt. ### Semantic Dictionary Lock-in Instruct your LLM to update translation dictionaries, protect brand terms from being altered, or set explicit text exclusion blocks — on the fly without touching the dashboard. Pairs perfectly with your existing Project Glossary. ### On-Demand Intelligence Reports Ask your agent to pull data metrics like user impressions, language-specific page views, or credit usage graphs directly into your chat workflow — dashboard login required. ## Step-by-Step Connection Instructions Two methods — pick the one that matches your environment. Connecting MultiLipi to your favorite AI platform is straightforward and handled using an automatic command configuration line or an initialization profile. Both methods use your unique Auth Token for secure verification. ### Method A: Command Parameters For AI Agents, IDEs, and terminal environments 1 Go to your dashboard and select **Connect MCP** from the lower section of the left navigation panel. 2 In the Connection Credentials sidebar, click the blue **Generate Auth Token** button to create your unique secure verification key. 3 If your development IDE or local terminal environment operates over Node/Python packages, copy the parameter syntax located in the **STDIO RUN COMMAND** field: npx -y @multilipi/mcp --api-url https://mcp.multilipi.com 4 For environments utilizing automated JSON configurations, copy the structural text provided in the **JSON CONFIG DEFINITION** block and paste it into your agent's configuration file. ![MultiLipi Connect MCP workspace showing code syntax fields and token layout](https://multilipiwebstorage.blob.core.windows.net/media/https:/static.multilipi.com/media/uploads/2026/manual/MCP_01.png) The MultiLipi Connect MCP workspace — copy your auth token and STDIO/JSON config in seconds ### Method B: Native Desktop Setup For humans using desktop productivity apps Clique **For Humans** tab button at the top of your dashboard screen to instantly load dedicated guides for specific productivity applications: #### 🖥️ Claude Desktop Setup Open your computer's local system config file: macOS`~/Library/Application Support/Claude/claude_desktop_config.json` Windows`%APPDATA%\Claude\claude_desktop_config.json` Paste the provided **JSON Config Definition** block directly inside the `mcpServers` object and restart the Claude app. #### ⚡ Cursor IDE Setup 1 Open Cursor and navigate to Cursor Settings (Gear Icon) → Features → MCP. 2 Click + Add New MCP Server, input the name MultiLipi, and set the connection Type parameter to command. 3 Paste the provided runtime code into the path block and click Save. ![MultiLipi For Humans tab showing application-specific MCP setup instructions](https://multilipiwebstorage.blob.core.windows.net/media/https:/static.multilipi.com/media/uploads/2026/manual/MCP_02.png) The "For Humans" tab — step-by-step checklist guides for Claude Desktop, Cursor, Windsurf, and more ## How to Guide Your AI Agent Prompts, references, and operational guidelines. To interact successfully with your newly connected infrastructure tool, you can pass explicit baseline system rules directly into your chat workspace. Click the **View Guidelines & Reference** link inside the dashboard to access the complete operational guidebook. 💬 ### Example Prompts to Try Paste these directly into your connected AI chat to get started. → "Onboard my landing page at staging.mysite.com. Translate it from English to German and Spanish, and set industry to retail." Project Setup → "Add 'MultiLipi' to my Glossary so that it never gets translated." Glossário → "Show me page view statistics for my website over the last 30 days." Análises ## The Future of Autonomous Translation Management Where MCP takes your international growth strategy. The addition of the Model Context Protocol changes how international scaling works. Instead of relying on manual oversight, your team can **integrate localized data directly into existing programmatic product builds**. Imagine an automated software workspace where a developer writes code, updates a feature, and an AI agent **instantly adjusts localized SEO rules, tracks character credits, and deploys global pages completely autonomously**. MultiLipi brings that future directly to your modern tech stack today. 🔗 ### Build Your Full Multilingual Stack MCP works best as part of a complete multilingual SEO and GEO strategy. Use these resources to build out every layer: →Guia de Otimização para LLM — Get your content cited by AI models →SEO Multilingue — Build authority across every language →Guia GEO — Generative Engine Optimization strategy →Guia AEO — Answer Engine Optimization for AI search →Free llms.txt Generator Tool— Make your site AI-crawler ready →Free SEO Analyzer Tool— Audit multilingual page performance →Idiomas Disponíveis — 90+ supported translation pairs →Integrações — Connect MultiLipi to your stack ## Ready to Automate Your Translation Workflows? Launch your first agentic localization session in minutes. Bring your localization management tasks right into your daily conversation threads with your favorite AI tooling systems. Head over to your MultiLipi Dashboard, click on the **Connect MCP** tab on the left, and initialize your first agentic automation workflow within minutes. Already running a multilingual website? Check the FAQ page for common setup questions, or explore our Pricing plans to find the right tier for your team's needs. **Need specialized platform setup or team-wide custom parameters?** Our optimization engineers are here to help. Reach out to MultiLipi Support for direct assistance configuring your MCP environment for enterprise-scale deployments. ### Este artigo foi útil? ### Neste artigo Partilhar ## Pronto para Expandir Globalmente? Vamos discutir como a MultiLipi pode transformar a sua estratégia de conteúdo e ajudá-lo a alcançar públicos globais com otimização multilíngue baseada em IA. 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