How do I get a Crowdin Personal Access Token?

Log in to your Crowdin account, navigate to **Account Settings > API**, and you will find the Personal Access Tokens section to generate a new token.

Can the agent upload new files for translation?

This integration currently focuses on listing and retrieving project and file data. File uploads should be handled through the Crowdin dashboard or CI/CD integrations.

Does Crowdin support custom glossaries?

Yes, you can use the list_glossaries tool to view all glossaries available in your account, ensuring consistent terminology across your projects.

Crowdin MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Crowdin
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Crowdin through Vinkius, pass the Edge URL in the `mcps` parameter and every Crowdin tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Crowdin Specialist",
    goal="Help users interact with Crowdin effectively",
    backstory=(
        "You are an expert at leveraging Crowdin tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Crowdin "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Crowdin MCP Server

Integrate Crowdin, the leading localization management platform, directly into your AI workflow. Manage your translation projects, monitor file statuses, and track localization tasks using natural language.

When paired with CrewAI, Crowdin becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Crowdin tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Project Management — List and retrieve detailed settings and statuses for all your localization projects.
File Operations — Monitor files within projects and retrieve specific file metadata.
Task & Workflow Tracking — Track translation and proofreading tasks to ensure timely delivery.
Resource Insights — Access glossaries, translation memories, and supported language lists via chat.

The Crowdin MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Crowdin to CrewAI via MCP

Follow these steps to integrate the Crowdin MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Crowdin

Why Use CrewAI with the Crowdin MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Crowdin through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Crowdin + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Crowdin MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Crowdin for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Crowdin, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Crowdin tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Crowdin against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Crowdin MCP Tools for CrewAI (10)

These 10 tools become available when you connect Crowdin to CrewAI via MCP:

get_file_details

Touches file structure, revision history, and per-language translation status boundaries. Get metadata for a specific file in a project

get_project_details

Touches source/target language settings and project-level activity summary boundaries. Get detailed settings and status for a project

list_glossaries

Resolves glossary names, IDs, and language pairs used for terminology management. List all glossaries available in the account

list_project_files

Resolves file names, IDs, paths, and current translation progress metrics. List all files within a specific project

list_project_reports

Resolves report names, types (Translation Costs, Progress), and creation timestamps. List generated reports for a specific project

list_project_screenshots

Resolves screenshot IDs, tags, and linked string identifiers used for visual context. List all screenshots uploaded to a project for context

list_project_tasks

Resolves task titles, types (Translation, Proofreading), status, and assigned linguist references. List translation and proofreading tasks for a project

list_projects

Resolves project names, IDs, source languages, and target languages for localization workflows. List all localization projects in your Crowdin account

list_supported_languages

Resolves language codes, human-readable names, and locale identifiers. List all languages supported by Crowdin

list_translation_memories

Resolves TM names, IDs, and segment counts for reuse in future translations. List all translation memories (TMs) available

Example Prompts for Crowdin in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Crowdin immediately.

"List all localization projects in my account."

"What is the status of files in project 'Mobile App'?"

"List all active translation tasks for my projects."

Troubleshooting Crowdin MCP Server with CrewAI

Common issues when connecting Crowdin to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Crowdin + CrewAI FAQ

Common questions about integrating Crowdin MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.