Weblate MCP Server for LlamaIndexGive LlamaIndex instant access to 32 tools to Add Group Admins, Add Group Roles, Create Group, and more

Name: Weblate
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Weblate as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this MCP Server for LlamaIndex

Open in ChatGPT Open in Claude Open in Perplexity

The Weblate MCP Server for LlamaIndex 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

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Weblate. "
            "You have 32 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Weblate?"
    )
    print(response)

asyncio.run(main())

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.

LlamaIndex agents combine Weblate tool responses with indexed documents for comprehensive, grounded answers. Connect 32 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

Follow these steps to wire Weblate into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 32 tools from Weblate

Why Use LlamaIndex with the Weblate MCP Server

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

Data-first architecture: LlamaIndex agents combine Weblate tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Weblate tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Weblate, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Weblate tools were called, what data was returned, and how it influenced the final answer

Weblate + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Weblate MCP Server delivers measurable value.

Hybrid search: combine Weblate real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Weblate to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Weblate for fresh data

Analytical workflows: chain Weblate queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Weblate in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting Weblate to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Weblate + LlamaIndex FAQ

Common questions about integrating Weblate MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Weblate tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Explore More MCP Servers

View all →

Fera.ai

12 tools

Manage reviews and social proof via Fera.ai — list customer feedback, track product ratings, and monitor UGC directly through your AI agent.

Asaas

8 tools

Manage payments, customers, and subscriptions with Asaas — the complete digital account for Brazilian businesses via AI.

Mercury

10 tools

Equip your AI agent with direct access to Mercury — check account balances, review transactions, and manage recipients without opening the banking dashboard.

Descript

8 tools

Equip your AI agent with direct access to Descript — manage projects, export transcripts, and retrieve media assets without opening the video editor.