Bring Task Management
to LangChain
Create your Vinkius account to connect Zenkit to LangChain and start using all 8 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 Zenkit MCP Server?
Connect your Zenkit account to any AI agent to streamline your productivity and project management. This MCP server enables your agent to interact with workspaces, lists (collections), and data entries directly from natural language.
What you can do
- Workspace Oversight — List all workspaces and retrieve their constituent lists and metadata
- List Management — Query detailed configurations and field elements for any Zenkit list
- Data Operations — List, retrieve, create, and update entries (items) within your collections
- Field Discovery — Inspect list elements to understand the data structure and field types
- Content Cleanup — Delete entries and maintain your lists directly via natural language commands
How it works
- Subscribe to this server
- Enter your Zenkit API Key
- Start managing your productivity data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Project Managers — Monitor task lists and update entry statuses across multiple workspaces
- Operations Teams — Automate data entry and record maintenance via simple commands
- Knowledge Workers — Quickly retrieve and organize information stored in Zenkit collections
Built-in capabilities (8)
Requires a JSON object with field values. Create a new entry in a list
Delete an entry from a list
Get details for a specific list
Get details for a specific workspace
List all elements (fields) defined in a list
List all entries (items) in a list
List all workspaces and their lists
Update an existing entry
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Zenkit through native MCP adapters. Connect 8 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 Zenkit 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 Zenkit queries for multi-turn workflows
Zenkit in LangChain
Why run Zenkit with Vinkius?
The Zenkit 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 8 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 Zenkit using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Zenkit and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Zenkit 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
Zenkit for LangChain
Every request between LangChain and Zenkit 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
How do I find my List ID?
Use the list_workspaces tool to see all your workspaces and the lists they contain along with their unique IDs.
Can I filter entries in a list?
The current list_entries tool retrieves all items. For complex filtering, you can provide field-specific values when using the create or update tools.
Is it possible to see the field definitions of a list?
Absolutely. Use the list_elements tool with a list ID to retrieve all field names, types, and configurations.
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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