How to Use the Bugcrowd MCP in LlamaIndex

Index your Bugcrowd findings into LlamaIndex. Build RAG apps that actually understand your security posture.

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Connect Bugcrowd MCP to LlamaIndex

Create your Vinkius account to connect Bugcrowd to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Bugcrowd with LlamaIndex

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RAG-ready Bugcrowd data for LlamaIndex

Turn `list_submissions` output into vector embeddings. Your agent searches through past vulnerabilities to inform current security decisions. Combine `get_program` data with internal docs. LlamaIndex creates a single knowledge base for your security engineers.

Ground LlamaIndex answers in Bugcrowd data

Query `list_targets` to find active scope information. Your agent gives answers based on live API data rather than stale guesses. Use `get_engagement` to pull context into your index. You get a searchable history of every pen test and bounty program.

Filterable tools for your LlamaIndex app

Restrict the MCP Server to specific tools using the allowed_tools filter. You control exactly what data enters your knowledge base. Enable `include_resources` to fetch raw data structures. LlamaIndex processes these into a clean format for your semantic search.

Setup guide

Set up Bugcrowd MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Bugcrowd MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Bugcrowd tools.",
)
response = await agent.run("List recent Bugcrowd data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bugcrowd. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bugcrowd MCP in LlamaIndex

Use the MCP tool spec to fetch the tool list and pass it to your agent. This maps the API data directly into your indexing pipeline.

By grounding your agent in real-time submission data, it stops guessing. It answers based on the actual records returned from the platform.

Vinkius handles the connection via your endpoint token. You don't manage keys in your LlamaIndex config.

Yes, by calling the list tools and indexing the results. You create a unified view of your entire security footprint.

Your API data is ephemeral and never stored by the server itself. We only index the content you specifically pull into your local vector store.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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