Crowdin MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Crowdin through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"crowdin": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Crowdin, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(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 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.
LangChain's ecosystem of 500+ components combines seamlessly with Crowdin through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Crowdin MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Crowdin via MCP
Why Use LangChain with the Crowdin MCP Server
LangChain provides unique advantages when paired with Crowdin through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Crowdin MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Crowdin queries for multi-turn workflows
Crowdin + LangChain Use Cases
Practical scenarios where LangChain combined with the Crowdin MCP Server delivers measurable value.
RAG with live data: combine Crowdin tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Crowdin, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Crowdin tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Crowdin tool call, measure latency, and optimize your agent's performance
Crowdin MCP Tools for LangChain (10)
These 10 tools become available when you connect Crowdin to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Crowdin to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCrowdin + LangChain FAQ
Common questions about integrating Crowdin MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Crowdin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Crowdin to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.