iLEVEL (S&P Global) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add iLEVEL (S&P Global) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 iLEVEL (S&P Global). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in iLEVEL (S&P Global)?"
)
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 iLEVEL (S&P Global) MCP Server
Empower your AI agents to interact with your iLEVEL private equity data. This MCP server allows you to list investments, retrieve entity details, manage portfolios, and view fund information directly through the iLEVEL API. Ideal for automating financial reporting and portfolio monitoring.
LlamaIndex agents combine iLEVEL (S&P Global) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 iLEVEL (S&P Global) MCP Server exposes 10 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.
How to Connect iLEVEL (S&P Global) to LlamaIndex via MCP
Follow these steps to integrate the iLEVEL (S&P Global) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from iLEVEL (S&P Global)
Why Use LlamaIndex with the iLEVEL (S&P Global) MCP Server
LlamaIndex provides unique advantages when paired with iLEVEL (S&P Global) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine iLEVEL (S&P Global) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain iLEVEL (S&P Global) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query iLEVEL (S&P Global), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what iLEVEL (S&P Global) tools were called, what data was returned, and how it influenced the final answer
iLEVEL (S&P Global) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the iLEVEL (S&P Global) MCP Server delivers measurable value.
Hybrid search: combine iLEVEL (S&P Global) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query iLEVEL (S&P Global) 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 iLEVEL (S&P Global) for fresh data
Analytical workflows: chain iLEVEL (S&P Global) queries with LlamaIndex's data connectors to build multi-source analytical reports
iLEVEL (S&P Global) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect iLEVEL (S&P Global) to LlamaIndex via MCP:
get_investment
Retrieves details for a specific investment
get_status
Gets the iLEVEL system status
get_version
Gets the iLEVEL API version
list_assets
Lists all assets
list_contacts
Lists all contacts
list_entities
Lists all legal entities
list_funds
Lists all funds
list_investments
Lists all investments
list_portfolios
Lists all portfolios
list_users
Lists all users in the system
Example Prompts for iLEVEL (S&P Global) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with iLEVEL (S&P Global) immediately.
"List all active investments in my iLEVEL portfolio."
"Show me the details for the 'Alpha Fund' entity."
"Check the system status and API version."
Troubleshooting iLEVEL (S&P Global) MCP Server with LlamaIndex
Common issues when connecting iLEVEL (S&P Global) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpiLEVEL (S&P Global) + LlamaIndex FAQ
Common questions about integrating iLEVEL (S&P Global) 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?
Connect iLEVEL (S&P Global) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect iLEVEL (S&P Global) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.