Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Levo.ai (API Security & Observability)?"
)
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 Levo.ai (API Security & Observability) MCP Server
Connect your Levo.ai account to any AI agent and take full control of your API security posture and runtime observability through natural conversation.
LlamaIndex agents combine Levo.ai (API Security & Observability) 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.
What you can do
- Endpoint Orchestration — List all auto-discovered API endpoints (REST, GraphQL, gRPC) and identify undocumented shadow or zombie APIs directly from your agent
- Sensitive Data Audit — Query categorizations for endpoints exposing regulated data flows including PII (names, emails), PHI (medical), and financial boundaries
- Vulnerability Management — Monitor active API security vulnerabilities validating against OWASP boundaries, including BOLA instances and broken authentication
- OpenAPI Generation — Export live, precisely accurate OpenAPI specifications derived immediately from actual observed traffic rather than static manual definitions
- Behavioral Monitoring — Analyze runtime API traffic patterns and anomalous observations detected by live sensors indicating unexpected schema drift
- Diagnostic Investigation — Retrieve detailed diagnostic exploitation evidence for specific vulnerabilities to understand root causes and remediation steps
The Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) to LlamaIndex via MCP
Follow these steps to integrate the Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability)
Why Use LlamaIndex with the Levo.ai (API Security & Observability) MCP Server
LlamaIndex provides unique advantages when paired with Levo.ai (API Security & Observability) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Levo.ai (API Security & Observability) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Levo.ai (API Security & Observability) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Levo.ai (API Security & Observability), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Levo.ai (API Security & Observability) tools were called, what data was returned, and how it influenced the final answer
Levo.ai (API Security & Observability) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Levo.ai (API Security & Observability) MCP Server delivers measurable value.
Hybrid search: combine Levo.ai (API Security & Observability) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) for fresh data
Analytical workflows: chain Levo.ai (API Security & Observability) queries with LlamaIndex's data connectors to build multi-source analytical reports
Levo.ai (API Security & Observability) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Levo.ai (API Security & Observability) to LlamaIndex via MCP:
export_openapi_spec
Export a live auto-generated OpenAPI payload specification for an application
get_endpoint_details
Get deep detailed schema structure for a specific discovered API endpoint
get_observation
Get details of a specific runtime anomalous observation
get_vulnerability
Get detailed diagnostic exploitation evidence for a specific API vulnerability
list_applications
List all API applications (services) tracked by Levo.ai
list_catalog_endpoints
Identifies REST, GraphQL, gRPC, and SOAP endpoints — including undocumented shadow and zombie APIs mapped dynamically. List all discovered API endpoints in the Levo.ai catalog
list_environments
List deployment boundaries environments monitored by Levo active sensors
list_observations
List runtime API behavior observations detected by Levo sensors
list_sensitive_data
List categorized API endpoints exposing sensitive or regulated data flows
list_vulnerabilities
List active API security vulnerabilities discovered across all applications
Example Prompts for Levo.ai (API Security & Observability) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Levo.ai (API Security & Observability) immediately.
"List all discovered API endpoints in our Levo catalog"
"Show me the active OWASP vulnerabilities for the 'Checkout' application"
"Generate a live OpenAPI spec for the 'User Management' service"
Troubleshooting Levo.ai (API Security & Observability) MCP Server with LlamaIndex
Common issues when connecting Levo.ai (API Security & Observability) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLevo.ai (API Security & Observability) + LlamaIndex FAQ
Common questions about integrating Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) 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 Levo.ai (API Security & Observability) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.