Can the AI resolve or close findings in Semgrep natively?

Yes. This server supports mutable actions. By invoking `update_finding_status`, your AI agent can shift a specific semantic flaw to 'mitigated', 'fixed', 'ignored', or 'false_positive' updating the registry in real-time.

How can I deploy a new custom SAST rule via chat?

Simply ask the LLM: 'Draft a semantic grep rule to ban hardcoded API keys in Python and deploy it'. The agent will natively format the JSON structure required and call `create_rule`, sending it directly to all repositories.

Do I need to supply a 'Deployment Slug' for every request?

Most API queries require the deployment context. To ensure smooth interactions, just tell the agent your organization slug once (or let it query `list_deployments` to fetch the default one). The agent will remember it for the rest of the conversation loop.

Semgrep MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Semgrep
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Semgrep as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="semgrep_agent",
    instruction=(
        "You help users interact with Semgrep "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

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 Semgrep MCP Server

Connect the Semgrep AppSec platform directly to your AI agent to radically accelerate code security triaging. Instead of forcing developers to jump between their IDE and the Semgrep dashboard, empower your AI to pull 'Findings', analyze the vulnerable syntax, and instantly close false positives.

Google ADK natively supports Semgrep as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Triage Findings (Bugs) — Instruct the agent to grab the latest CI vulnerability findings and immediately push a status update to mark it as fixed, ignored, or mitigated (update_finding_status)
Rule Management — Request the AI to look at a newly discovered bad coding pattern and command it to write and deploy a matching custom semantic rule (create_rule) to your organizational deployment
Project & Deployment Scoping — Map out all repositories running Semgrep actions and check their overarching security health scores in milliseconds
Comprehensive Forensics — Fetch granular SCA and SAST semantic flaw definitions, including exact snippets, CVE links, and the specific bad lines causing the trigger

The Semgrep MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 Semgrep to Google ADK via MCP

Follow these steps to integrate the Semgrep MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Semgrep via MCP

Why Use Google ADK with the Semgrep MCP Server

Google ADK provides unique advantages when paired with Semgrep through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Semgrep

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Semgrep tools with BigQuery, Vertex AI, and Cloud Functions

Semgrep + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Semgrep MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Semgrep and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Semgrep tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Semgrep regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Semgrep

Semgrep MCP Tools for Google ADK (10)

These 10 tools become available when you connect Semgrep to Google ADK via MCP:

create_rule

Allows developers to forbid project-specific bad patterns securely and continuously across the enterprise repositories. Create a customized Semgrep security rule within the platform

delete_rule

Delete a custom Semgrep security rule from the deployment

get_finding_details

Explains the exact malicious code block, suggests semantic fixes, states whether it is blocking PRs in CI, and links to CVE data (if an SCA supply chain defect). Get atomic details for a specific Semgrep flaw

get_metrics

Typically consumed to render executive security dashboards. Get AppSec metrics and compliance stats for Semgrep

get_project

Search for a precise Semgrep project by exact repository name

list_deployments

The primary key is the deployment slug identifier. Almost all subsequent API operations targeting rules, projects, or findings will require this deployment slug to define the scope. List Semgrep organizational deployments

list_findings

Findings provide snippet details, file line numbers, severity, and rule types. Fetch global static analysis security findings for a deployment

list_projects

Projects maintain a link between developers and static security scan outputs over time. List Semgrep projects (repositories) monitored in a deployment

list_rules

The rules are structured YAML definitions that search for semantic anti-patterns in codebases (e.g., unparameterized SQL queries, hardcoded AWS keys). List Semgrep semantic rules deployed globally

update_finding_status

Valid states generally include active, fixed, false_positive, ignored, mitigated. Resolving findings through this API cleans up the developer experience when managing compliance queues. Mark a Semgrep finding state (e.g., fixed, false positive)

Example Prompts for Semgrep in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Semgrep immediately.

"List the most severe unmitigated findings currently breaking our CI/CD pipeline on the 'vinkius/cloud' repository."

"Mark vulnerability issue ID #58032 as a 'false_positive' using the update finding tool."

"Review the company's Semgrep performance metrics focusing on fix rate."

Troubleshooting Semgrep MCP Server with Google ADK

Common issues when connecting Semgrep to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Semgrep + Google ADK FAQ

Common questions about integrating Semgrep MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.