Infinity Work Manager MCP Server for LangChain 15 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Infinity Work Manager 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({
"infinity-work-manager": {
"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 Infinity Work Manager, 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 Infinity Work Manager MCP Server
Connect Infinity to any AI agent and manage your work management platform — create and update items, manage boards, add comments, organize folders, and track project progress through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Infinity Work Manager through native MCP adapters. Connect 15 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
- Workspaces & Boards — List and create workspaces and boards for organizing work
- Item Management — Create, update, and delete items with custom attribute values
- Comments — Add and retrieve comments on any item for collaboration
- Folders — Organize items into folders within boards
- Attributes — View board attribute configurations for custom fields
- Profile — Get authenticated user profile information
The Infinity Work Manager MCP Server exposes 15 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 Infinity Work Manager to LangChain via MCP
Follow these steps to integrate the Infinity Work Manager 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 15 tools from Infinity Work Manager via MCP
Why Use LangChain with the Infinity Work Manager MCP Server
LangChain provides unique advantages when paired with Infinity Work Manager through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Infinity Work Manager 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 Infinity Work Manager queries for multi-turn workflows
Infinity Work Manager + LangChain Use Cases
Practical scenarios where LangChain combined with the Infinity Work Manager MCP Server delivers measurable value.
RAG with live data: combine Infinity Work Manager tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Infinity Work Manager, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Infinity Work Manager tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Infinity Work Manager tool call, measure latency, and optimize your agent's performance
Infinity Work Manager MCP Tools for LangChain (15)
These 15 tools become available when you connect Infinity Work Manager to LangChain via MCP:
create_board
Body should include name and optional settings. Create a new board in a workspace
create_comment
Body should include content. Add a comment to an item
create_folder
Create a new folder in a board
create_item
Body should include name and attribute values. Create a new item in a board
delete_item
Delete an item from a board
get_board
Get details of a specific board
get_item
Get details of a specific item
get_profile
Use this to verify connection and identify your user ID. Get the authenticated user profile
list_attributes
List attributes configured on a board
list_boards
Use board IDs to query items, folders, and attributes. List all boards in a workspace
list_comments
List comments on an item
list_folders
List folders in a board
list_items
Supports pagination via cursor. List all items in a board
list_workspaces
Use workspace IDs to query boards and items within specific workspaces. List all workspaces accessible to the user
update_item
Update an existing item in a board
Example Prompts for Infinity Work Manager in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Infinity Work Manager immediately.
"Show me all workspaces I have access to."
"List all items in board 123 of workspace 456."
"Create a new item called 'Sprint Planning' in board 123 with status 'In Progress'."
Troubleshooting Infinity Work Manager MCP Server with LangChain
Common issues when connecting Infinity Work Manager to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInfinity Work Manager + LangChain FAQ
Common questions about integrating Infinity Work Manager 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 Infinity Work Manager 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 Infinity Work Manager to LangChain
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.