How to Use the BasicOps MCP in LlamaIndex

Q: Can LlamaIndex query historical messages from BasicOps?

Yes. Your agent runs listtaskmessages to pull discussions, then indexes them. You run semantic search queries over those team conversations to find old decisions.

Q: Does this LlamaIndex setup support real-time updates?

Yes. Configure your agent to call listprojects on a schedule, ensuring your index stays current with your team's actual progress in BasicOps.

Q: Can I filter which tools my agent can access?

Yes, use the allowedtools filter when setting up your tool specification. This restricts your agent to specific operations like viewing tasks while blocking creation tools.

Index your BasicOps tasks and project structures directly into LlamaIndex to query your team's active work in real time.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect BasicOps MCP to LlamaIndex

Create your Vinkius account to connect BasicOps to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup BasicOps with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Turn your workspace into a queryable index

The `list_project_tasks` tool extracts active tasks in your pipeline and feeds them straight to your vector store. Instead of guessing who is working on what, you ask your agent and it queries the indexed workspace data. This means your RAG pipeline gets fresh, structured context. You search across your projects without writing SQL queries or parsing raw JSON.

Run semantic search over task messages

The `list_task_messages` tool pulls the conversation history from your team's tickets directly into LlamaIndex. Your agent indexes these chats, allowing you to find past decisions and find context that usually gets buried. This MCP Server bridge brings answers straight from past project hurdles. Your agent answers using actual team discussions, not guessed information.

Build RAG workflows with the BasicOps MCP Server

The `get_project` tool retrieves deep details about your current milestones to ground your LLM's answers. Your agent combines this live API data with your static files to build a highly accurate knowledge base. By feeding the output of `list_projects` into your index, your agent understands the full scope of your business. You get answers that reflect your team's actual daily work.

Setup guide

Set up BasicOps MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all BasicOps MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to BasicOps tools.",
)
response = await agent.run("List recent BasicOps data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BasicOps. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect BasicOps now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about BasicOps MCP in LlamaIndex

You use the McpToolSpec to register the MCP tools in your agent. From there, your LlamaIndex agent calls `list_project_tasks` and pushes the returned text directly into your document index.

Yes. Your agent runs `list_task_messages` to pull discussions, then indexes them. You run semantic search queries over those team conversations to find old decisions.

Yes. Configure your agent to call `list_projects` on a schedule, ensuring your index stays current with your team's actual progress in BasicOps.

Yes, use the allowed_tools filter when setting up your tool specification. This restricts your agent to specific operations like viewing tasks while blocking creation tools.

Yes. All data pulled via this MCP Server is processed in memory or sent directly to your own vector database. We don't store your task messages, project lists, or user directories on our infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript