LiquidPlanner Classic MCP Server for LangChainGive LangChain instant access to 10 tools to Create Project, Create Task, Get Project, and more
LangChain is the leading Python framework for composable LLM applications. Connect LiquidPlanner Classic 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 LiquidPlanner Classic app connector for LangChain is a standout in the Productivity category — giving your AI agent 10 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({
"liquidplanner-classic": {
"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 LiquidPlanner Classic, 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 LiquidPlanner Classic MCP Server
Connect your LiquidPlanner Classic workspace to any AI agent and manage project planning through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with LiquidPlanner Classic through native MCP adapters. Connect 10 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
- Task Management — Create, update, and assign tasks with priority and estimates
- Project Tracking — Browse projects, milestones, and deliverables
- Timeline Monitoring — Track predictive schedules and deadline forecasts
- Workspace Browsing — Navigate workspace structure and team members
- Time Tracking — Access logged time and effort data
The LiquidPlanner Classic MCP Server exposes 10 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 10 LiquidPlanner Classic tools available for LangChain
When LangChain connects to LiquidPlanner Classic through Vinkius, your AI agent gets direct access to every tool listed below — spanning predictive-scheduling, resource-leveling, task-dependencies, 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 project in the default workspace
Requires parent_id if it should be nested under a project or folder. Create a new task in the default workspace
Get details of a specific project
Get details of a specific task
Uses the default configured workspace if no ID is provided. Get details of a specific workspace or the default workspace
List members in the default workspace
List projects in the default workspace
List tasks in the default workspace
List workspaces from LiquidPlanner Classic
Update an existing task in the default workspace
Connect LiquidPlanner Classic to LangChain via MCP
Follow these steps to wire LiquidPlanner Classic 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 LiquidPlanner Classic MCP Server
LangChain provides unique advantages when paired with LiquidPlanner Classic through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine LiquidPlanner Classic 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 LiquidPlanner Classic queries for multi-turn workflows
LiquidPlanner Classic + LangChain Use Cases
Practical scenarios where LangChain combined with the LiquidPlanner Classic MCP Server delivers measurable value.
RAG with live data: combine LiquidPlanner Classic tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query LiquidPlanner Classic, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain LiquidPlanner Classic tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every LiquidPlanner Classic tool call, measure latency, and optimize your agent's performance
Example Prompts for LiquidPlanner Classic in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with LiquidPlanner Classic immediately.
"Show all projects and the predicted schedule for the Platform v2 project."
"Create a task and show time tracking for the team this week."
"Show workspace members and resource allocation."
Troubleshooting LiquidPlanner Classic MCP Server with LangChain
Common issues when connecting LiquidPlanner Classic to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLiquidPlanner Classic + LangChain FAQ
Common questions about integrating LiquidPlanner Classic 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.