Unkey API Management MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Unkey API Management 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 MCP SERVER
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 Unkey API Management. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Unkey API Management?"
)
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 Unkey API Management MCP Server
Connect your AI agent to Unkey, the robust platform for issuing and managing API keys at scale. This integration allows you to oversee your API infrastructure, manage developer keys, and audit verification analytics through natural conversation.
LlamaIndex agents combine Unkey API Management tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Key Issuance — Create new API keys for your users with custom prefixes, metadata, and ownership
- Verification — Instantly verify if a key is valid and check its remaining credits or usage limits
- Lifecycle Management — List all keys for an API, update their status, or permanently revoke them
- Infrastructure Oversight — List and inspect your defined APIs and their configurations
- Usage Analytics — Retrieve detailed verification stats to monitor how your developers are using your services
The Unkey API Management MCP Server exposes 8 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 Unkey API Management to LlamaIndex via MCP
Follow these steps to integrate the Unkey API Management 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 8 tools from Unkey API Management
Why Use LlamaIndex with the Unkey API Management MCP Server
LlamaIndex provides unique advantages when paired with Unkey API Management through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Unkey API Management tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Unkey API Management tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Unkey API Management, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Unkey API Management tools were called, what data was returned, and how it influenced the final answer
Unkey API Management + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Unkey API Management MCP Server delivers measurable value.
Hybrid search: combine Unkey API Management real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Unkey API Management 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 Unkey API Management for fresh data
Analytical workflows: chain Unkey API Management queries with LlamaIndex's data connectors to build multi-source analytical reports
Unkey API Management MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Unkey API Management to LlamaIndex via MCP:
create_api_key
Create a new API key for your users
get_api_details
Get detailed information for a specific API
get_verification_analytics
Retrieve usage analytics for your API keys
list_api_keys
List all API keys associated with a specific API ID
list_apis
Retrieve a list of all APIs in your Unkey project
revoke_api_key
Permanently delete (revoke) an API key
update_api_key
Update an existing API key
verify_api_key
Verify if an API key is valid
Example Prompts for Unkey API Management in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Unkey API Management immediately.
"List all APIs in my Unkey project."
"Verify the API key 'user_sk_abcdef123'."
Troubleshooting Unkey API Management MCP Server with LlamaIndex
Common issues when connecting Unkey API Management to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUnkey API Management + LlamaIndex FAQ
Common questions about integrating Unkey API Management 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 Unkey API Management 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 Unkey API Management to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.