Infinity Work Manager MCP Server for LlamaIndex 15 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Infinity Work Manager 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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Vinkius supports streamable HTTP and SSE.
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 Infinity Work Manager. "
"You have 15 tools available."
),
)
response = await agent.run(
"What tools are available in Infinity Work Manager?"
)
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 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.
LlamaIndex agents combine Infinity Work Manager tool responses with indexed documents for comprehensive, grounded answers. Connect 15 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
- 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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Infinity Work Manager MCP Server with LlamaIndex.
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 15 tools from Infinity Work Manager
Why Use LlamaIndex with the Infinity Work Manager MCP Server
LlamaIndex provides unique advantages when paired with Infinity Work Manager through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Infinity Work Manager tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Infinity Work Manager tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Infinity Work Manager, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Infinity Work Manager tools were called, what data was returned, and how it influenced the final answer
Infinity Work Manager + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Infinity Work Manager MCP Server delivers measurable value.
Hybrid search: combine Infinity Work Manager real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Infinity Work Manager 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 Infinity Work Manager for fresh data
Analytical workflows: chain Infinity Work Manager queries with LlamaIndex's data connectors to build multi-source analytical reports
Infinity Work Manager MCP Tools for LlamaIndex (15)
These 15 tools become available when you connect Infinity Work Manager to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Infinity Work Manager to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInfinity Work Manager + LlamaIndex FAQ
Common questions about integrating Infinity Work Manager MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.