Can the AI give me the code fix for a Snyk security vulnerability?

Yes! The bot uses `get_issue_details` to read Snyk's extensive remediation context natively. Because it operates inside your IDE (like Cursor), it seamlessly merges Snyk's advisory with your actual local file context to write a highly secure patch immediately.

How do I find my organization ID if I only know my project name?

You don't need to manually hunt for it. Simply tell your AI agent: 'Find my React Frontend project and list its issues'. The AI will autonomously query `list_organizations`, isolate the correct ID, run `list_projects` under it, find the matching name, and then execute the issue retrieval.

Is it safe to expose my project vulnerabilities to an AI?

Yes. Vinkius operates transparently—your Snyk API Token is securely isolated and requests route directly from your local MCP client to Snyk endpoint APIs. No underlying CVE issue is retained or spied upon on cloud databases you don't control.

Snyk MCP Server for LlamaIndex 9 tools — connect in under 2 minutes

Name: Snyk
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Snyk as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Snyk. "
            "You have 9 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Snyk?"
    )
    print(response)

asyncio.run(main())

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Snyk MCP Server

Connect your Snyk security dashboard natively to your preferred AI agent. Speed up your DevSecOps workflow by diagnosing and investigating package vulnerabilities via natural language. Rather than jumping between browser tabs trying to locate a specific CVE report, query your organizational vulnerability footprint dynamically through MCP.

LlamaIndex agents combine Snyk tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the 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

Project Surveillance — Discover application projects via list_projects and fetch internal configurations calling get_project_details
Vulnerability Hunting — Expose specific codebase flaws instantly with list_issues, extracting actionable remediation steps querying get_issue_details
Company Operations — Traverse hierarchical structures via list_organizations and see who contributes using list_organization_members
Admin Controls — Monitor API connectivity invoking list_integrations and check scan caps via get_usage_stats and get_billing_info

The Snyk MCP Server exposes 9 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 Snyk to LlamaIndex via MCP

Follow these steps to integrate the Snyk 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 9 tools from Snyk

Why Use LlamaIndex with the Snyk MCP Server

LlamaIndex provides unique advantages when paired with Snyk through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Snyk tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Snyk tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Snyk, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Snyk tools were called, what data was returned, and how it influenced the final answer

Snyk + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Snyk MCP Server delivers measurable value.

Hybrid search: combine Snyk real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Snyk 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 Snyk for fresh data

Analytical workflows: chain Snyk queries with LlamaIndex's data connectors to build multi-source analytical reports

Snyk MCP Tools for LlamaIndex (9)

These 9 tools become available when you connect Snyk to LlamaIndex via MCP:

get_billing_info

Retrieves billing details for an organization

get_issue_details

Retrieves details for a specific security issue

get_project_details

Retrieves details for a specific project

get_usage_stats

Retrieves usage statistics

list_integrations

Lists active integrations for an organization

list_issues

Lists security issues for a specific project

list_organization_members

Lists all members of a Snyk organization

list_organizations

Lists all Snyk organizations

list_projects

Lists all projects in a specific organization

Example Prompts for Snyk in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Snyk immediately.

"Check Snyk and summarize all critical security vulnerabilities currently found in the main backend project."

"Display our organization's current integration links on Snyk. What are we attached to?"

"Draw a markdown table checking the team member roles in the DevOps organization."

Troubleshooting Snyk MCP Server with LlamaIndex

Common issues when connecting Snyk to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Snyk + LlamaIndex FAQ

Common questions about integrating Snyk MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.