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Weblate MCP Server for Mastra AIGive Mastra AI instant access to 32 tools to Add Group Admins, Add Group Roles, Create Group, and more

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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.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
typescript
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();
Weblate
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

Add group admins on Weblate

Add team administrators to a group

add

Add group roles on Weblate

Associate roles with a group

create

Create group on Weblate

Create a new group

create

Create language on Weblate

Create a new language definition

create

Create project on Weblate

Create a new project

create

Create project component on Weblate

Create a new component in a project

create

Create role on Weblate

Create a new role with specific permissions

create

Create user on Weblate

Create a new Weblate user

delete

Delete user on Weblate

Delete a user (marks inactive)

get

Get group on Weblate

Get group details (roles, projects, components)

get

Get language on Weblate

Get language details (plural formulas, aliases)

get

Get language statistics on Weblate

Global statistics for a language

get

Get project on Weblate

Get project details

get

Get project file url on Weblate

Get the URL to download all translations as a ZIP archive

get

Get project repository on Weblate

Overall VCS status for the project

get

Get role on Weblate

Get role details and permission codenames

get

Get root on Weblate

Get Weblate API root entry point

get

Get user on Weblate

Get detailed user information

get

Get user contributions on Weblate

List translations with user contributions

get

Get user statistics on Weblate

Get user translation statistics

list

List groups on Weblate

List Weblate groups

list

List languages on Weblate

List all languages

list

List project components on Weblate

List components within a project

list

List project labels on Weblate

Manage project labels

list

List project languages on Weblate

Paginated statistics for all languages in a project

list

List projects on Weblate

List all projects

list

List roles on Weblate

List roles associated with the user

list

List user notifications on Weblate

List user notification subscriptions

list

List users on Weblate

Requires management permissions or returns self. List Weblate users

manage

Manage user notifications on Weblate

Manage user notification subscriptions

perform

Perform repository operation on Weblate

Perform VCS operations (push, pull, commit, reset, cleanup)

update

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.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 32 tools from Weblate via MCP

Why Use Mastra AI with the Weblate MCP Server

Mastra AI provides unique advantages when paired with Weblate through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Weblate without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Weblate tool response with IDE autocomplete and compile-time checks

04

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.

01

Automated workflows: build multi-step agents that query Weblate, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Weblate as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Weblate on a cron and store results in your database automatically

04

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.

01

"List all active localization projects in Weblate."

02

"Show me the translation statistics for the German language."

03

"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.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Weblate + Mastra AI FAQ

Common questions about integrating Weblate MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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