HackerOne 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 HackerOne 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 HackerOne. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in HackerOne?"
)
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 HackerOne MCP Server
Connect your HackerOne organization account to any AI agent and take full control of your vulnerability management workflows through natural conversation.
LlamaIndex agents combine HackerOne 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
- Report Oversight — List all vulnerability reports, retrieve detailed information, and monitor their current state and severity.
- Program Insights — Browse your bug bounty or VDP programs and access structured scopes and assets.
- Report Interaction — Add comments to reports, change their triaged state, or award bounties directly from the chat.
- Asset Tracking — Monitor the assets defined within your security programs and their reachability.
- Financial Monitoring — Retrieve history of bounty payments and manage rewards efficiently.
- Hacktivity Feed — Stay updated with the internal or public hacktivity feed to see recent discoveries.
The HackerOne 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 HackerOne to LlamaIndex via MCP
Follow these steps to integrate the HackerOne 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 HackerOne
Why Use LlamaIndex with the HackerOne MCP Server
LlamaIndex provides unique advantages when paired with HackerOne through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HackerOne tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HackerOne tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HackerOne, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HackerOne tools were called, what data was returned, and how it influenced the final answer
HackerOne + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HackerOne MCP Server delivers measurable value.
Hybrid search: combine HackerOne real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HackerOne 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 HackerOne for fresh data
Analytical workflows: chain HackerOne queries with LlamaIndex's data connectors to build multi-source analytical reports
HackerOne MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect HackerOne to LlamaIndex via MCP:
add_report_comment
Add a comment to a specific vulnerability report
award_bounty
Award a bounty for a vulnerability report
change_report_state
Update the state of a vulnerability report (e.g., triaged, resolved)
get_program
Get details for a specific security program
get_report
Get detailed information about a specific vulnerability report
list_assets
List assets defined in your security programs
list_hacktivity
List the HackerOne hacktivity feed
list_payments
List bounty payments history
list_programs
List bug bounty or VDP programs you have access to
list_reports
List vulnerability reports submitted to your HackerOne program
Example Prompts for HackerOne in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HackerOne immediately.
"List all vulnerability reports submitted this week."
"Award a $500 bounty to report ID 12345."
"Change the state of report 12345 to 'Triaged'."
Troubleshooting HackerOne MCP Server with LlamaIndex
Common issues when connecting HackerOne to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHackerOne + LlamaIndex FAQ
Common questions about integrating HackerOne 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 HackerOne 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 HackerOne to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.