Infinity MCP Server for LangChainGive LangChain instant access to 12 tools to Check Api Health, Create Board Item, Get Current User Profile, and more
LangChain is the leading Python framework for composable LLM applications. Connect Infinity 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 for LangChain
The Infinity MCP Server for LangChain is a standout in the Productivity 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({
"infinity": {
"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, 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 MCP Server
Connect your Infinity account to any AI agent and manage projects through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Infinity 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
- Workspace Management — List all workspaces in your organization
- Board Navigation — Browse boards within workspaces and inspect their structure
- Folder Organization — Navigate folder hierarchies within boards
- Attribute Schema — View all custom attributes and fields configured on boards
- Item Management — List, create, update, and delete items (tasks/records) within boards
- Data Access — Read item field values and metadata
The Infinity MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 12 Infinity tools available for LangChain
When LangChain connects to Infinity through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, workspace-organization, custom-attributes, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Check api health on Infinity
Verify Infinity API connectivity
Create board item on Infinity
Values must map to attribute IDs. Add a new item to a board
Get current user profile on Infinity
Get authenticated user info
List board attributes on Infinity
List board attributes (fields)
List board folders on Infinity
List folders in a board
List board items on Infinity
Supports filtering by folder. List all tasks/items in a board
List board webhooks on Infinity
List active webhooks for a board
List item comments on Infinity
List comments on an item
List workspace boards on Infinity
List boards in a workspace
List workspaces on Infinity
List all workspaces
Remove board item on Infinity
Delete an item from a board
Update board item on Infinity
Modify an existing item
Connect Infinity to LangChain via MCP
Follow these steps to wire Infinity into LangChain. The entire setup takes under two minutes — your credentials stay safe behind 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 Infinity MCP Server
LangChain provides unique advantages when paired with Infinity through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Infinity 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 queries for multi-turn workflows
Infinity + LangChain Use Cases
Practical scenarios where LangChain combined with the Infinity MCP Server delivers measurable value.
RAG with live data: combine Infinity tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Infinity, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Infinity tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Infinity tool call, measure latency, and optimize your agent's performance
Example Prompts for Infinity in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Infinity immediately.
"Show all workspaces and the boards in the 'Product Development' workspace."
"Create a new task in the Sprint Board and list all items with 'In Progress' status."
"Show the attributes on the Bug Tracker board and the folder structure."
Troubleshooting Infinity MCP Server with LangChain
Common issues when connecting Infinity to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInfinity + LangChain FAQ
Common questions about integrating Infinity 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?
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