ProjectManager MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Project, Create Project Task, Get Project Details, and more

Name: ProjectManager
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ProjectManager as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The ProjectManager MCP Server for LlamaIndex is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.

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python

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 ProjectManager. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ProjectManager?"
    )
    print(response)

asyncio.run(main())

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About ProjectManager MCP Server

Connect your ProjectManager.com account to any AI agent and simplify your project orchestration, task management, and resource allocation through natural conversation.

LlamaIndex agents combine ProjectManager tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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

Project Management — List all projects, retrieve detailed status metadata, and monitor project health and progress
Task Control — Query tasks for any project, retrieve detailed descriptions, and create new tasks programmatically
Resource Intelligence — List team resources, including members and equipment, to choose the right context for each task
Time Tracking — Access a history of recorded timesheets to stay on top of your project billing and capacity
Direct Control — Manage your entire project portfolio directly from your agent without manual dashboard navigation

The ProjectManager MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 ProjectManager tools available for LlamaIndex

When LlamaIndex connects to ProjectManager through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-tracking, resource-allocation, timesheets, 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.

create

Create project on ProjectManager

Create a new project

create

Create project task on ProjectManager

Add a new task

get

Get project details on ProjectManager

Get details for a specific project

get

Get task details on ProjectManager

Get details for a specific task

list

List dashboards on ProjectManager

List all dashboards

list

List projects on ProjectManager

List ProjectManager projects

list

List tags on ProjectManager

List all project tags

list

List tasks on ProjectManager

Optionally filter by project ID. List tasks

list

List team resources on ProjectManager

List team resources

list

List timesheets on ProjectManager

List recorded timesheets

update

Update task on ProjectManager

Update an existing task

Connect ProjectManager to LlamaIndex via MCP

Follow these steps to wire ProjectManager into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 11 tools from ProjectManager

Why Use LlamaIndex with the ProjectManager MCP Server

LlamaIndex provides unique advantages when paired with ProjectManager through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine ProjectManager tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ProjectManager tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ProjectManager, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ProjectManager tools were called, what data was returned, and how it influenced the final answer

ProjectManager + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the ProjectManager MCP Server delivers measurable value.

Hybrid search: combine ProjectManager real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ProjectManager 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 ProjectManager for fresh data

Analytical workflows: chain ProjectManager queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for ProjectManager in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with ProjectManager immediately.

"List all active projects in ProjectManager."

"Show me all overdue tasks across all projects with their assignees and original deadlines."

"Create 3 new tasks for the Website Redesign project assigned to the design team due next Friday."

Troubleshooting ProjectManager MCP Server with LlamaIndex

Common issues when connecting ProjectManager to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ProjectManager + LlamaIndex FAQ

Common questions about integrating ProjectManager MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ProjectManager tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.