How to Use the Unkey API Management MCP in LlamaIndex

Q: What data types can I index with Unkey API Management and LlamaIndex?

You can index detailed information about APIs via listapis or specific records from usage analytics. The core data type is the structured record of an API key's existence and status.

Q: Can I track changes with Unkey API Management and LlamaIndex?

Yes. Every time you run updateapikey or revokeapikey, the resulting data is captured and stored in your index, giving you a historical record searchable by any query.

Q: Does the MCP Server support filtering for LlamaIndex?

Yes. You can use the allowedtools filter when setting up your client to ensure that only specific key management functions are passed into the RAG generation pipeline.

Ground RAG applications with LlamaIndex by indexing API management data.

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Connect Unkey API Management MCP to LlamaIndex

Create your Vinkius account to connect Unkey API Management 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.

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Setup Unkey API Management with LlamaIndex

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Index Key Creation Details

When you use `create_api_key`, the resulting record can be indexed into your vector store. This means you don't just call the tool; you add the *fact* of the key creation to your knowledge base. Later, a query can retrieve historical data like 'Which keys were created last month?' and give an answer grounded in actual API records.

Search Past Key Revocation Events

The output of `revoke_api_key` becomes searchable knowledge. If a user asks, 'Why was John Doe's key removed?', the RAG system doesn't hallucinate; it retrieves the record from your index. This allows you to build an audit log capability where past actions are part of the queryable data set.

Analyze API Key Usage Patterns

Run `get_verification_analytics` and then pass that output to your index. You can then ask semantic questions like, 'What usage spikes did we see last quarter?' LlamaIndex combines this structured data with document retrieval, giving a much richer context than just raw metrics.

Setup guide

Set up Unkey API Management 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 Unkey API Management 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 Unkey API Management tools.",
)
response = await agent.run("List recent Unkey API Management data")

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Common questions about Unkey API Management MCP in LlamaIndex

It allows you to transform live operational data—like key status or usage logs—into searchable chunks for RAG. You query the *results* of the MCP Server, not just calling its functions.

You can index detailed information about APIs via `list_apis` or specific records from usage analytics. The core data type is the structured record of an API key's existence and status.

Yes. Every time you run `update_api_key` or `revoke_api_key`, the resulting data is captured and stored in your index, giving you a historical record searchable by any query.

Yes. You can use the allowed_tools filter when setting up your client to ensure that only specific key management functions are passed into the RAG generation pipeline.

This MCP Server handles user API keys. The data type you are indexing relates to the operational details and usage metrics associated with those specific keys.

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