Bring Kyc
to LangChain
Create your Vinkius account to connect Collect to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Collect MCP Server?
Connect your AI to Collect, the secure platform for gathering information and documents from clients.
What you can do
- Campaign Management — List active data collection campaigns and check their completion status.
- Request Sending — Send new data requests to clients by email for KYC, onboarding, or compliance workflows.
- Status Tracking — Check the status of individual requests, view messages, and monitor completion.
How it works
- Add the Collect integration to your AI toolset.
- Provide your API Key (from Settings > Integrations > API).
- Manage your data collection workflows via natural language.
Who is this for?
- Compliance Teams — Send and track KYC requests without switching to the Collect dashboard.
- Accounting Firms — Manage document collection campaigns for multiple clients from chat.
- HR Teams — Track onboarding document submissions and send reminders.
Built-in capabilities (10)
Send a new data collection request to a recipient
Retrieve detailed information about a specific campaign
Retrieve details of a specific element (field/block) in a request
Retrieve details of a specific data request
Retrieve information about your team in Collect
Retrieve information about the currently authenticated user
Retrieve a list of all data collection campaigns in Collect
Retrieve a list of messages sent through Collect
Retrieve all data requests for a specific campaign
Send a message to a recipient regarding a specific request
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Collect 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.
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The largest ecosystem of integrations, chains, and agents. combine Collect MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Collect queries for multi-turn workflows
Collect in LangChain
Why run Collect with Vinkius?
The Collect connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Collect using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Collect and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Collect to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Collect for LangChain
Every request between LangChain and Collect is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Where do I find my Collect API key?
In the Collect dashboard, go to Settings > Integrations > API and generate a key. Copy it and paste it below.
Which authentication method does this use?
This integration uses Basic Authentication with your API Key as the password.
Can I export requests as PDF?
The API supports PDF exports. While this integration focuses on data management, you can retrieve the metadata needed to trigger an export.
How does LangChain connect to MCP servers?
Use 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?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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