Weblate MCP Server for Mastra AIGive Mastra AI instant access to 32 tools to Add Group Admins, Add Group Roles, Create Group, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Weblate through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The Weblate MCP Server for Mastra AI is a standout in the Developer Tools category — giving your AI agent 32 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"weblate": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Weblate Agent",
instructions:
"You help users interact with Weblate " +
"using 32 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Weblate?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Weblate MCP Server
Connect your Weblate instance to any AI agent to streamline your continuous localization and translation management through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Weblate tool infrastructure. Connect 32 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Project & Component Management — List all projects, fetch component details, and explore translation files directly from the Weblate API.
- Language Insights — Retrieve detailed statistics for specific languages to track translation progress and identify missing strings.
- User & Group Administration — Manage user profiles, list contributions, and handle group roles or administrative permissions.
- Repository Operations — Perform critical repository actions like pulling updates or pushing translations to keep your version control in sync.
- Notification Control — List and manage user notification subscriptions to stay updated on translation changes.
The Weblate MCP Server exposes 32 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 32 Weblate tools available for Mastra AI
When Mastra AI connects to Weblate through Vinkius, your AI agent gets direct access to every tool listed below — spanning translation-management, localization-workflow, i18n, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add group admins on Weblate
Add team administrators to a group
Add group roles on Weblate
Associate roles with a group
Create group on Weblate
Create a new group
Create language on Weblate
Create a new language definition
Create project on Weblate
Create a new project
Create project component on Weblate
Create a new component in a project
Create role on Weblate
Create a new role with specific permissions
Create user on Weblate
Create a new Weblate user
Delete user on Weblate
Delete a user (marks inactive)
Get group on Weblate
Get group details (roles, projects, components)
Get language on Weblate
Get language details (plural formulas, aliases)
Get language statistics on Weblate
Global statistics for a language
Get project on Weblate
Get project details
Get project file url on Weblate
Get the URL to download all translations as a ZIP archive
Get project repository on Weblate
Overall VCS status for the project
Get role on Weblate
Get role details and permission codenames
Get root on Weblate
Get Weblate API root entry point
Get user on Weblate
Get detailed user information
Get user contributions on Weblate
List translations with user contributions
Get user statistics on Weblate
Get user translation statistics
List groups on Weblate
List Weblate groups
List languages on Weblate
List all languages
List project components on Weblate
List components within a project
List project labels on Weblate
Manage project labels
List project languages on Weblate
Paginated statistics for all languages in a project
List projects on Weblate
List all projects
List roles on Weblate
List roles associated with the user
List user notifications on Weblate
List user notification subscriptions
List users on Weblate
Requires management permissions or returns self. List Weblate users
Manage user notifications on Weblate
Manage user notification subscriptions
Perform repository operation on Weblate
Perform VCS operations (push, pull, commit, reset, cleanup)
Update user on Weblate
Update user details
Connect Weblate to Mastra AI via MCP
Follow these steps to wire Weblate into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Weblate MCP Server
Mastra AI provides unique advantages when paired with Weblate through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Weblate without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Weblate tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Weblate + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Weblate MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Weblate, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Weblate as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Weblate on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Weblate tools alongside other MCP servers
Example Prompts for Weblate in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Weblate immediately.
"List all active localization projects in Weblate."
"Show me the translation statistics for the German language."
"Get detailed information for user 'johndoe'."
Troubleshooting Weblate MCP Server with Mastra AI
Common issues when connecting Weblate to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWeblate + Mastra AI FAQ
Common questions about integrating Weblate MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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