Nozbe MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Project, Create Task, Delete Task, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Nozbe 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 Nozbe app connector 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
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 Nozbe. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Nozbe?"
)
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 Nozbe MCP Server
The Nozbe MCP server brings your team's task management directly to your AI agent. List projects, assign tasks, update priorities, and track team collaboration fluidly without navigating away from your chat interface.
LlamaIndex agents combine Nozbe 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.
The Nozbe MCP Server exposes 12 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 12 Nozbe tools available for LlamaIndex
When LlamaIndex connects to Nozbe through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, team-collaboration, priority-tracking, 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
Create a new task
Permanently remove a task
Check API connectivity and get current user context
Retrieve details for a specific project
Retrieve details for a specific task
Retrieve details for a specific team
Retrieve discussion comments for a task
List all accessible projects
List all accessible tasks
List teams you have access to
Edit a specific task
Connect Nozbe to LlamaIndex via MCP
Follow these steps to wire Nozbe 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 Nozbe MCP Server
LlamaIndex provides unique advantages when paired with Nozbe through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Nozbe tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Nozbe tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Nozbe, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Nozbe tools were called, what data was returned, and how it influenced the final answer
Nozbe + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Nozbe MCP Server delivers measurable value.
Hybrid search: combine Nozbe real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Nozbe 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 Nozbe for fresh data
Analytical workflows: chain Nozbe queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Nozbe in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Nozbe immediately.
"List all my priority tasks for today."
"Create a task 'Update website banner' and assign it to Sarah."
"Mark task ID 5402 as completed."
Troubleshooting Nozbe MCP Server with LlamaIndex
Common issues when connecting Nozbe to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNozbe + LlamaIndex FAQ
Common questions about integrating Nozbe MCP Server with LlamaIndex.