AdaptiveWork (Clarizen) MCP Server for LangChain 6 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect AdaptiveWork (Clarizen) 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({
"adaptivework-clarizen": {
"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 AdaptiveWork (Clarizen), 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 AdaptiveWork (Clarizen) MCP Server
Connect your AdaptiveWork (formerly Clarizen) account to your AI agent to unlock enterprise-grade project and portfolio management. From tracking high-level project health to creating granular tasks and managing resource availability, your agent handles complex workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with AdaptiveWork (Clarizen) through native MCP adapters. Connect 6 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 Portfolio Management — List and audit active projects, check health statuses, and retrieve executive summaries
- Task Orchestration — Create, assign, and update tasks across your project structure to ensure team alignment
- Resource Insights — List organization users and check assignments to optimize team capacity
- Advanced Querying (CZQL) — Run custom Clarizen Query Language commands to retrieve specific data subsets for reporting
- Portfolio Health — Quickly identify project bottlenecks or overdue milestones directly from your chat interface
The AdaptiveWork (Clarizen) MCP Server exposes 6 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 AdaptiveWork (Clarizen) to LangChain via MCP
Follow these steps to integrate the AdaptiveWork (Clarizen) 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 6 tools from AdaptiveWork (Clarizen) via MCP
Why Use LangChain with the AdaptiveWork (Clarizen) MCP Server
LangChain provides unique advantages when paired with AdaptiveWork (Clarizen) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine AdaptiveWork (Clarizen) 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 AdaptiveWork (Clarizen) queries for multi-turn workflows
AdaptiveWork (Clarizen) + LangChain Use Cases
Practical scenarios where LangChain combined with the AdaptiveWork (Clarizen) MCP Server delivers measurable value.
RAG with live data: combine AdaptiveWork (Clarizen) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AdaptiveWork (Clarizen), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AdaptiveWork (Clarizen) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every AdaptiveWork (Clarizen) tool call, measure latency, and optimize your agent's performance
AdaptiveWork (Clarizen) MCP Tools for LangChain (6)
These 6 tools become available when you connect AdaptiveWork (Clarizen) to LangChain via MCP:
create_task
You must provide a task name and its parent ID. Add a new granular task to a project or parent task structure in AdaptiveWork
get_project_details
Requires the Project ID. Retrieve detailed metadata and progress metrics for a specific AdaptiveWork project
list_projects
Can filter by state or status in the tool response natively. Retrieve a list of active projects managed within the AdaptiveWork organization
list_tasks
Requires the Project ID. Retrieve the active task list associated with a specific project container ID
list_users
Retrieve the list of active organization users in AdaptiveWork to check resource assignments
run_query
Requires valid CZQL syntax. Execute advanced Clarizen Query Language (CZQL) commands for custom data retrieval
Example Prompts for AdaptiveWork (Clarizen) in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with AdaptiveWork (Clarizen) immediately.
"List all active projects with a 'Critical' health status."
"Create a new task named 'Review Budget' in 'Project Alpha'."
"Run a CZQL query to find all tasks assigned to 'John Doe'."
Troubleshooting AdaptiveWork (Clarizen) MCP Server with LangChain
Common issues when connecting AdaptiveWork (Clarizen) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAdaptiveWork (Clarizen) + LangChain FAQ
Common questions about integrating AdaptiveWork (Clarizen) 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 AdaptiveWork (Clarizen) 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 AdaptiveWork (Clarizen) to LangChain
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.