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Semgrep MCP, Ready to Go

Connect your AI agents to Semgrep via this Connector to triage SAST findings, manage security rules, and audit code vulnerabilities in real-time.

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No credit card required. Experience the power of this integration risk-free.

Manage your code security and triage SAST findings directly from your AI client.

Semgrep MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Semgrep Connector?

995ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 746ms
Average 995ms
Max 1456ms
Trend (improving) ↓ 7%
Daily latency
1456ms 7/12/2026
977ms 7/13/2026
924ms 7/14/2026
1043ms 7/15/2026
1104ms 7/16/2026
968ms 7/17/2026
870ms 7/18/2026
980ms 7/19/2026
1051ms 7/20/2026
1090ms 7/21/2026
990ms 7/22/2026
1018ms 7/23/2026
934ms 7/24/2026
746ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with Semgrep MCP: 10 Security Tools for SAST Triage

Use the Semgrep MCP to manage security findings, deploy rules, and pull metrics directly through your AI agent.

Create rule

This tool lets you create a customized security rule within the platform. It helps you forbid project-specific bad patterns across your enterprise repositories.

Delete rule

This tool lets you remove a custom security rule from your deployment. Use it to clean up rules that are no longer relevant to your codebase.

List deployments

This tool lets you list all organizational deployments. It helps you define the scope for rules, projects, and findings.

List findings

This tool lets you fetch global static analysis security findings for a deployment. It provides snippet details and severity levels.

Get finding details

This tool lets you get atomic details for a specific flaw. It explains the malicious code block and links to CVE data.

Get project

This tool lets you search for a precise project by repository name. It helps you find security status for specific codebases.

List rules

This tool lets you list all Semgrep semantic rules deployed globally. It shows the YAML definitions for your security patterns.

Get metrics

This tool lets you get AppSec metrics and compliance stats. Use it to render executive security dashboards and reports.

List projects

This tool lets you list all repositories monitored in a deployment. It helps you map out your security coverage.

Update finding status

This tool lets you mark a finding state as fixed, false positive, or mitigated. It cleans up your developer experience.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Semgrep MCP for Faster AppSec Triage and Vulnerability Management

This is for security engineers who are drowning in alerts, DevOps folks managing pipeline compliance, and developers who want to fix bugs without leaving their IDE.

AppSec Engineer

Triages hundreds of SAST findings daily to prioritize real threats and manage false positives.

DevOps Engineer

Pulls compliance metrics and fix rates to generate executive reports for leadership.

Software Developer

Identifies the exact line of code causing a build failure and gets a fix suggestion instantly.

Frequently Asked Questions

Can the Semgrep MCP help me clear out false positives faster? +

Yes. You can ask your agent to identify and mark specific findings as false positives. This clears them from your active queue so you can focus on real threats.

How do I use the Semgrep MCP to manage security rules? +

You can tell your agent to create new custom rules for bad coding patterns or delete old ones. The agent handles the deployment across your organization for you.

Can my AI agent see the exact lines of code for a vulnerability? +

Yes, the Connector pulls the specific malicious code block and the exact line numbers from the platform so your agent can explain the issue to you clearly.

Does the Semgrep MCP work for both SAST and SCA? +

It supports both static analysis security testing and software composition analysis. You can retrieve CVE links for dependencies and scan results for your own code.

Can I use the Semgrep MCP to generate security reports? +

Yes. You can ask your agent to pull compliance metrics and fix rates. It can then summarize that data into an executive report directly in your chat.

How does the Semgrep MCP help with CI/CD blockers? +

The agent can fetch findings that are currently blocking your pipeline, explain what the vulnerability means, and even draft the semantic fix to help you pass the scan.

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.

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