Infinity MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Api Health, Create Board Item, Get Current User Profile, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Infinity 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 MCP Server for LlamaIndex
The Infinity MCP Server for LlamaIndex 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
Geminiimport 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. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Infinity?"
)
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 MCP Server
Connect your Infinity account to any AI agent and manage projects through natural conversation.
LlamaIndex agents combine Infinity tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- 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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 LlamaIndex via MCP
Follow these steps to wire Infinity into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind 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 Infinity MCP Server
LlamaIndex provides unique advantages when paired with Infinity through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Infinity tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Infinity tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Infinity, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Infinity tools were called, what data was returned, and how it influenced the final answer
Infinity + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Infinity MCP Server delivers measurable value.
Hybrid search: combine Infinity real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Infinity 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 for fresh data
Analytical workflows: chain Infinity queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Infinity in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Infinity to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInfinity + LlamaIndex FAQ
Common questions about integrating Infinity 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?
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