Bugcrowd 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 Bugcrowd as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 Bugcrowd. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Bugcrowd?"
)
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 Bugcrowd MCP Server
Connect your Bugcrowd account to any AI agent and orchestrate your vulnerability management, bug bounty programs, and security engagements through natural conversation.
LlamaIndex agents combine Bugcrowd 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
- Submission Oversight — List and retrieve detailed metadata for all vulnerability reports (submissions) across your programs.
- Program Management — List all active security programs and retrieve detailed metadata, including scopes and rewards.
- Engagement Tracking — Monitor crowd executions like specific Bug Bounties or Pen Tests directly from your workspace.
- Target Coordination — List and inspect assets in scope (targets) for your organization or specific programs.
- Submission Creation — Create new vulnerability submissions from external sources using natural language.
- Organizational Insights — Retrieve core organization information and settings straight from your workspace.
The Bugcrowd 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 Bugcrowd to LlamaIndex via MCP
Follow these steps to integrate the Bugcrowd 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 Bugcrowd
Why Use LlamaIndex with the Bugcrowd MCP Server
LlamaIndex provides unique advantages when paired with Bugcrowd through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Bugcrowd tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Bugcrowd tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Bugcrowd, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Bugcrowd tools were called, what data was returned, and how it influenced the final answer
Bugcrowd + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Bugcrowd MCP Server delivers measurable value.
Hybrid search: combine Bugcrowd real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Bugcrowd 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 Bugcrowd for fresh data
Analytical workflows: chain Bugcrowd queries with LlamaIndex's data connectors to build multi-source analytical reports
Bugcrowd MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Bugcrowd to LlamaIndex via MCP:
create_submission
Create a new vulnerability submission
get_engagement
Get details of a specific engagement
get_organization_info
Retrieve core organization information
get_program
Get details of a specific security program
get_submission
Get details of a specific submission
get_target
Get details of a specific target
list_engagements
List all crowd engagements (bounties, pen tests)
list_programs
List all security programs
list_submissions
List all vulnerability submissions
list_targets
List all assets in scope (targets)
Example Prompts for Bugcrowd in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Bugcrowd immediately.
"List all active security programs in Bugcrowd."
"Show the last 5 vulnerability submissions."
"Create a new submission titled 'Insecure Direct Object Reference' for program prog_123."
Troubleshooting Bugcrowd MCP Server with LlamaIndex
Common issues when connecting Bugcrowd to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBugcrowd + LlamaIndex FAQ
Common questions about integrating Bugcrowd 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 Bugcrowd 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 Bugcrowd to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.