Workast MCP Server for LangChainGive LangChain instant access to 12 tools to Create Space, Create Task, Delete Task, and more
LangChain is the leading Python framework for composable LLM applications. Connect Workast 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 App Connector for LangChain
The Workast app connector for LangChain is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"workast": {
"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 Workast, 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 Workast MCP Server
Connect your Workast account to any AI agent to streamline your project management and task automation. Workast provides a powerful platform for organizing team workflows, tracking deadlines, and managing project backlogs directly within your existing communication tools.
LangChain's ecosystem of 500+ components combines seamlessly with Workast through native MCP adapters. Connect 12 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 & Space Orchestration — Organize your work using Spaces to group related task lists and projects for different teams.
- Task Lifecycle Management — Create, list, and update tasks with due dates, priorities, and detailed descriptions.
- Team Coordination — List and manage team members to assign responsibilities and monitor project progress programmatically.
- Metadata Synchronization — Access team-wide metadata and user profiles to keep your AI workflows aligned with your organization.
- Real-time Status Updates — Use natural language to get instant summaries of active spaces and task completion statuses.
The Workast MCP Server exposes 12 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.
All 12 Workast tools available for LangChain
When LangChain connects to Workast through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, workflow-automation, team-collaboration, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new space
Create a new task
Delete a task
Get my profile
Get space details
Get task details
Get team details
Get user details
List all Workast spaces
List tasks in a space
List team users
Update a task
Connect Workast to LangChain via MCP
Follow these steps to wire Workast into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Workast MCP Server
LangChain provides unique advantages when paired with Workast through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Workast 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 Workast queries for multi-turn workflows
Workast + LangChain Use Cases
Practical scenarios where LangChain combined with the Workast MCP Server delivers measurable value.
RAG with live data: combine Workast tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Workast, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Workast tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Workast tool call, measure latency, and optimize your agent's performance
Example Prompts for Workast in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Workast immediately.
"List all active spaces in my Workast account."
"Show me the tasks currently in the 'Design Team' space."
Troubleshooting Workast MCP Server with LangChain
Common issues when connecting Workast to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersWorkast + LangChain FAQ
Common questions about integrating Workast 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.