How to Use the iLEVEL (S&P Global) MCP in LlamaIndex

Q: Can I use LlamaIndex to run semantic search over iLEVEL (S&P Global) portfolios?

Yes, you can fetch portfolio data using listportfolios and index the output into a vector store. This allows your LlamaIndex agent to perform semantic queries across your entire S&P Global private equity portfolio.

Q: How does LlamaIndex handle data updates from this iLEVEL (S&P Global) server?

You can schedule periodic runs of listassets to refresh your index. LlamaIndex upserts the new asset records from the MCP server, keeping your vector store synchronized with S&P Global.

Q: Can I filter which iLEVEL tools are exposed to my LlamaIndex agent?

Yes, you can use the allowedtools filter in LlamaIndex to restrict access. For example, you can expose only getinvestment while hiding administrative S&P Global tools like listusers.

Index live iLEVEL (S&P Global) private equity data directly into LlamaIndex vector stores for accurate RAG.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect iLEVEL (S&P Global) MCP to LlamaIndex

Create your Vinkius account to connect iLEVEL (S&P Global) 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 iLEVEL (S&P Global) with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index live private equity data for RAG in LlamaIndex

The `list_investments` and `list_portfolios` tools fetch raw asset metrics to turn iLEVEL (S&P Global) API outputs into searchable LlamaIndex documents. Your LlamaIndex agent runs these tools to fetch raw asset metrics and immediately indexes them into a vector database. Instead of relying on stale export files, your LlamaIndex RAG applications query live iLEVEL fund data. The LlamaIndex index updates dynamically, ensuring your synthesis is grounded in the latest S&P Global financial figures.

Semantic search over entity and contact lists in LlamaIndex

The `list_entities` and `list_contacts` tools search through complex corporate structures to build a semantic map of your network in LlamaIndex. Connect the LlamaIndex MCP integration to search through complex iLEVEL corporate structures. Users can query the LlamaIndex vector store in plain English to find key stakeholders associated with specific iLEVEL assets. The LlamaIndex system retrieves the exact contact details from the S&P Global API without requiring manual database queries.

Ground LlamaIndex agent responses in verified system status

The `get_status` and `get_version` tools verify iLEVEL API availability before running massive LlamaIndex data ingestion tasks. Keep your LlamaIndex financial reporting pipelines reliable by checking S&P Global system health before indexing. If the S&P Global API is undergoing maintenance, LlamaIndex pauses the iLEVEL indexing pipeline. This check prevents partial LlamaIndex data loads and preserves the integrity of your S&P Global vector store.

Setup guide

Set up iLEVEL (S&P Global) 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 iLEVEL (S&P Global) 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 iLEVEL (S&P Global) tools.",
)
response = await agent.run("List recent iLEVEL (S&P Global) 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 iLEVEL. 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 iLEVEL (S&P Global) 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 iLEVEL (S&P Global) MCP in LlamaIndex

You initialize the BasicMCPClient with your Vinkius endpoint and wrap it in McpToolSpec. This exposes tools like `list_funds` and `get_investment` directly to your LlamaIndex FunctionAgent.

Yes, you can fetch portfolio data using `list_portfolios` and index the output into a vector store. This allows your LlamaIndex agent to perform semantic queries across your entire S&P Global private equity portfolio.

You can schedule periodic runs of `list_assets` to refresh your index. LlamaIndex upserts the new asset records from the MCP server, keeping your vector store synchronized with S&P Global.

Yes, you can use the allowed_tools filter in LlamaIndex to restrict access. For example, you can expose only `get_investment` while hiding administrative S&P Global tools like `list_users`.

Your fund valuations, asset lists, and contact records remain in your designated vector store and local memory. The Vinkius MCP Server operates as a zero-trust, ephemeral gateway, ensuring no S&P Global credentials or private equity data are cached on external servers.

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