oboloo MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Oboloo Status, Get Contract, Get Project, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add oboloo 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 oboloo app connector for LlamaIndex is a standout in the Erp Operations 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 oboloo. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in oboloo?"
)
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 oboloo MCP Server
Connect your Oboloo account to any AI agent and manage procurement operations.
LlamaIndex agents combine oboloo 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
- Supplier Management — List suppliers and view profiles with risk scores
- Contract Tracking — Browse and inspect procurement contracts
- Savings Analysis — View recorded cost savings
- Project Management — Track procurement projects and timelines
- Approvals — View pending procurement approvals
- Risk Assessment — List supplier and contract risks
- Spend Analysis — Get category and supplier spend breakdowns
The oboloo 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 oboloo tools available for LlamaIndex
When LlamaIndex connects to oboloo through Vinkius, your AI agent gets direct access to every tool listed below — spanning procurement, supplier-management, contract-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.
Verify API connectivity
Get contract details
Get project details
Get spend analysis
Get supplier details
List pending approvals
List spend categories
List all contracts
List procurement projects
List supplier risks
List savings
List all suppliers
Connect oboloo to LlamaIndex via MCP
Follow these steps to wire oboloo 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 oboloo MCP Server
LlamaIndex provides unique advantages when paired with oboloo through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine oboloo tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain oboloo tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query oboloo, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what oboloo tools were called, what data was returned, and how it influenced the final answer
oboloo + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the oboloo MCP Server delivers measurable value.
Hybrid search: combine oboloo real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query oboloo 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 oboloo for fresh data
Analytical workflows: chain oboloo queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for oboloo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with oboloo immediately.
"List all my suppliers."
"Show procurement spend analysis."
"Show all pending approvals."
Troubleshooting oboloo MCP Server with LlamaIndex
Common issues when connecting oboloo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpoboloo + LlamaIndex FAQ
Common questions about integrating oboloo MCP Server with LlamaIndex.