BasicOps MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Project, Create Task, Get Account Info, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add BasicOps 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 BasicOps 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 BasicOps. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in BasicOps?"
)
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 BasicOps MCP Server
Connect your BasicOps account to any AI agent and take full control of your project management and team collaboration workflows through natural conversation.
LlamaIndex agents combine BasicOps 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
- Project & Section Orchestration — List and manage your entire project hierarchy programmatically, including creating new project sections (phases) in real-time
- Task Lifecycle Management — Programmatically create and update tasks, monitoring status transitions, due dates, and high-fidelity descriptions directly through your agent
- Team Coordination Intelligence — Access complete directories of team members and retrieve communication history within tasks to maintain perfectly coordinated context
- Workflow Automation — Programmatically manage project sections to organize your team's workflow into high-fidelity sprints or operational phases
- Workspace Visibility — Access high-fidelity metadata for your workspace and monitor active webhooks directly through your agent for instant operational reporting
The BasicOps 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 BasicOps tools available for LlamaIndex
When LlamaIndex connects to BasicOps through Vinkius, your AI agent gets direct access to every tool listed below — spanning task-management, workflow-automation, project-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
Get my profile
Get project details
Get task details
List project sections
List tasks in project
List all BasicOps projects
List task messages
List team members
List active webhooks
Update a task
Connect BasicOps to LlamaIndex via MCP
Follow these steps to wire BasicOps 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 BasicOps MCP Server
LlamaIndex provides unique advantages when paired with BasicOps through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine BasicOps tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain BasicOps tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query BasicOps, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what BasicOps tools were called, what data was returned, and how it influenced the final answer
BasicOps + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the BasicOps MCP Server delivers measurable value.
Hybrid search: combine BasicOps real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query BasicOps 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 BasicOps for fresh data
Analytical workflows: chain BasicOps queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for BasicOps in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with BasicOps immediately.
"List all active projects in my BasicOps workspace."
"Create a new high-priority task 'Fix Login Bug' in project '123'."
"Show the communication history for task ID '456'."
Troubleshooting BasicOps MCP Server with LlamaIndex
Common issues when connecting BasicOps to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBasicOps + LlamaIndex FAQ
Common questions about integrating BasicOps MCP Server with LlamaIndex.