LiquidPlanner Classic MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Project, Create Task, Get Project, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add LiquidPlanner Classic as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The LiquidPlanner Classic app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to LiquidPlanner Classic. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in LiquidPlanner Classic?"
)
print(response)
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.
LlamaIndex agents combine LiquidPlanner Classic tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire LiquidPlanner Classic into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the LiquidPlanner Classic MCP Server
LlamaIndex provides unique advantages when paired with LiquidPlanner Classic through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine LiquidPlanner Classic tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain LiquidPlanner Classic tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query LiquidPlanner Classic, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what LiquidPlanner Classic tools were called, what data was returned, and how it influenced the final answer
LiquidPlanner Classic + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the LiquidPlanner Classic MCP Server delivers measurable value.
Hybrid search: combine LiquidPlanner Classic real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query LiquidPlanner Classic to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying LiquidPlanner Classic for fresh data
Analytical workflows: chain LiquidPlanner Classic queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for LiquidPlanner Classic in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting LiquidPlanner Classic to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLiquidPlanner Classic + LlamaIndex FAQ
Common questions about integrating LiquidPlanner Classic MCP Server with LlamaIndex.