Semgrep

Semgrep MCP Server brings static application security testing (SAST) directly into your AI agent workflows through a single hosted MCP endpoint. Instead of manually running Semgrep scans in a terminal or CI job and copy-pasting results into a ticket, any AI agent — Claude, GPT, Gemini, or a custom-built assistant — can call the same standardized MCP interface to scan a repository, snippet, or diff for security vulnerabilities, bugs, and anti-patterns the moment code changes. This makes Semgrep a natural fit for teams that want continuous, agent-driven code review without duplicating credentials or tool configs across every AI client they use.

Under the hood, this MCP server wraps Semgrep's static code analysis engine and exposes its scanning capabilities as callable tools: rule-based pattern matching across dozens of languages, OWASP-style vulnerability detection, secret and hardcoded-credential checks, and custom rule execution for org-specific coding standards. Because it's hosted and managed by BusinessMCP, you don't need to provision your own Semgrep infrastructure, manage rule updates, or maintain a separate integration for each AI provider — you connect it once through your company's unified /api/mcp endpoint (Bearer mcph_* key) and every downstream agent inherits the same access, guardrails, and audit trail.

This is where the value compounds: Semgrep doesn't have to live in isolation. Paired with BusinessMCP's business-intelligence dashboard, security findings surface alongside the rest of your operational data — ad spend, revenue, database health, and other connected tools — so engineering leaders and non-technical stakeholders alike can see vulnerability trends without digging through separate security dashboards. Teams commonly use this setup to let a coding agent triage pull requests for injection flaws, insecure deserialization, or SSRF risks before a human reviewer even opens the diff, or to have an AI assistant explain a flagged anti-pattern in plain language during a code walkthrough.

Because the server is model-agnostic and cookieless/GDPR-friendly, it fits cleanly into regulated environments and multi-agent setups where you can't guarantee which LLM vendor a given workflow will use. Security teams evaluating a static code analysis MCP server for AI agents, DevSecOps engineers automating vulnerability scanning in agentic pipelines, or platform teams looking to centralize SAST tooling across multiple AI copilots will find this integration reduces setup friction considerably — one credential, one endpoint, and consistent scan results regardless of which assistant initiated the request.

Whether you're bolting security review onto an existing AI coding assistant, building an autonomous code-review agent, or simply want vulnerability scanning results to feed into your broader business intelligence view, the Semgrep MCP Server turns static analysis into an agent-callable capability rather than a standalone CLI step — hosted, unified, and ready to plug into your existing BusinessMCP setup alongside your other tools and data sources.