Levo.ai (API Security & Observability) MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Levo.ai (API Security & Observability) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"levoai-api-security-observability": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Levo.ai (API Security & Observability), show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Levo.ai (API Security & Observability) through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Levo.ai (API Security & Observability) MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Levo.ai (API Security & Observability) via MCP
Why Use LangChain with the Levo.ai (API Security & Observability) MCP Server
LangChain provides unique advantages when paired with Levo.ai (API Security & Observability) through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Levo.ai (API Security & Observability) MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Levo.ai (API Security & Observability) queries for multi-turn workflows
Levo.ai (API Security & Observability) + LangChain Use Cases
Practical scenarios where LangChain combined with the Levo.ai (API Security & Observability) MCP Server delivers measurable value.
RAG with live data: combine Levo.ai (API Security & Observability) tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Levo.ai (API Security & Observability), synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Levo.ai (API Security & Observability) tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Levo.ai (API Security & Observability) tool call, measure latency, and optimize your agent's performance
Levo.ai (API Security & Observability) MCP Tools for LangChain (10)
These 10 tools become available when you connect Levo.ai (API Security & Observability) to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Levo.ai (API Security & Observability) to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLevo.ai (API Security & Observability) + LangChain FAQ
Common questions about integrating Levo.ai (API Security & Observability) MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.