Bring Translation Management
to LlamaIndex
Learn how to connect Weblate to LlamaIndex and start using 32 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Weblate MCP Server?
Connect your Weblate instance to any AI agent to streamline your continuous localization and translation management through natural conversation.
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.
How it works
- Subscribe to this server
- Enter your Weblate Instance URL and Personal API Token
- Start managing your localization projects from Claude, Cursor, or any MCP-compatible client
No more switching between your IDE and the Weblate dashboard to check translation status or user permissions. Your AI acts as a localization manager.
Who is this for?
- Localization Managers — quickly check project health, language coverage, and user contributions without manual reporting.
- Developers — trigger repository syncs and inspect component structures directly from the code editor.
- DevOps Engineers — automate user provisioning and group role assignments within the localization infrastructure.
Built-in capabilities (32)
Add team administrators to a group
Associate roles with a group
Create a new group
Create a new language definition
Create a new project
Create a new component in a project
Create a new role with specific permissions
Create a new Weblate user
Delete a user (marks inactive)
Get group details (roles, projects, components)
Get language details (plural formulas, aliases)
Global statistics for a language
Get project details
Get the URL to download all translations as a ZIP archive
Overall VCS status for the project
Get role details and permission codenames
Get Weblate API root entry point
Get detailed user information
List translations with user contributions
Get user translation statistics
List Weblate groups
List all languages
List components within a project
Manage project labels
Paginated statistics for all languages in a project
List all projects
List roles associated with the user
List user notification subscriptions
Requires management permissions or returns self. List Weblate users
Manage user notification subscriptions
Perform VCS operations (push, pull, commit, reset, cleanup)
Update user details
Why LlamaIndex?
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.
- —
Data-first architecture: LlamaIndex agents combine Weblate tool responses with indexed documents for comprehensive, grounded answers
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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 in LlamaIndex
Weblate and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Weblate to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Weblate in LlamaIndex
The Weblate 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. All 32 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Weblate for LlamaIndex
Every tool call from LlamaIndex to the Weblate MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check the translation progress for a specific language code?
Yes! Use the get_language_statistics tool with the language code (e.g., 'fr'). The agent will return detailed metrics including translated, fuzzy, and failing strings.
Is it possible to trigger a Git pull or push from the AI?
Absolutely. Use the perform_repository_operation tool. You can specify the project and component along with the operation (like 'pull' or 'push') to sync with your remote repository.
Can I manage user access and view their contributions?
Yes. You can use list_users to see accounts, get_user_contributions to audit translation activity, and add_group_roles to manage permissions programmatically.
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.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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