Equixly 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 Equixly 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 Equixly. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Equixly?"
)
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 Equixly MCP Server
Connect your Equixly account to any AI agent and take full control of your autonomous API security testing and vulnerability management through natural conversation.
LlamaIndex agents combine Equixly 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
- Autonomous Pentest Orchestration — Launch new attack sessions where the Equixly AI Hacker autonomously explores and attacks your API for BOLA, IDOR, and injection flaws
- Service Management — Register and manage target API services by defining base URLs and granular path-scoping rules for continuous monitoring
- API Surface Discovery — Upload and manage API specifications (OpenAPI, GraphQL, Postman) to broaden the attack surface known to the AI Hacker
- Vulnerability Auditing — Retrieve detailed lists of confirmed exploitable security flaws with severity ratings, OWASP mapping, and remediation guidance
- Scan Status Monitoring — Track execution progress and overall outcomes of active penetration tests, including total requests and endpoints explored
- Remediation Oversight — Access evidence of exploitation for specific findings to validate security fixes and maintain production safety
- Target Configuration — Fetch granular metadata for API targets, including authentication hooks and production safety toggles natively
The Equixly 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 Equixly to LlamaIndex via MCP
Follow these steps to integrate the Equixly 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 Equixly
Why Use LlamaIndex with the Equixly MCP Server
LlamaIndex provides unique advantages when paired with Equixly through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Equixly tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Equixly tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Equixly, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Equixly tools were called, what data was returned, and how it influenced the final answer
Equixly + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Equixly MCP Server delivers measurable value.
Hybrid search: combine Equixly real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Equixly 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 Equixly for fresh data
Analytical workflows: chain Equixly queries with LlamaIndex's data connectors to build multi-source analytical reports
Equixly MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Equixly to LlamaIndex via MCP:
create_service
Provide the human-readable name and the live base URL. After creation, upload an API spec to maximize attack surface coverage. Register a new API target service for autonomous pentesting
delete_service
Use when decommissioning an API or cleaning up test environments. This action is irreversible. Remove an API service and all its scan history from Equixly
get_scan
Includes total requests made, endpoints explored, attack vectors attempted, severity breakdown of findings (critical/high/medium/low), and OWASP Top 10 mapping. Get detailed status and summary of a specific pentest scan
get_scan_findings
Each finding includes a severity rating, OWASP category, affected endpoint path, HTTP method, request/response evidence of exploitation, and actionable remediation guidance. Download all exploitable vulnerabilities found in a pentest scan
get_service
Required before modifying scan behavior. Get detailed configuration of a specific API service
list_api_specs
The AI Hacker uses these specs to understand the full attack surface, so keeping them updated maximizes vulnerability discovery coverage. List uploaded API specifications for a service
list_scans
Each scan entry includes its status (running, completed, failed), timestamps, and the total count of vulnerabilities detected in that session. List all pentest scan sessions for an API service
list_services
A Service represents a single API base URL that the autonomous AI pentester continuously attacks. Each service contains its unique ID, name, base URL, and the number of discovered endpoints. List all registered API services in Equixly
trigger_scan
It tests for BOLA, broken authentication, mass assignment, IDOR, injection, and business logic flaws. Ideal for CI/CD pipeline integration upon each deployment. Launch a new autonomous AI penetration test against a service
upload_api_spec
Supported formats: openapi (JSON/YAML), postman, graphql, wsdl, har. Pass the raw spec content as a string along with the format identifier. Upload an API specification (OpenAPI, Postman, etc.) to a service
Example Prompts for Equixly in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Equixly immediately.
"Trigger a security scan for API service 'Billing-v1'"
"Show me the critical findings from the latest scan of service 'Payments'"
"List all registered API target services"
Troubleshooting Equixly MCP Server with LlamaIndex
Common issues when connecting Equixly to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpEquixly + LlamaIndex FAQ
Common questions about integrating Equixly 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 Equixly 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 Equixly to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.