"Security" matching MCP servers:

A local MCP server that lets Claude Code orchestrate Codex CLI and OpenCode CLI as sub-agents with strict security, concurrency, and output limits.

A local MCP bridge that lets a compatible host start, monitor, steer, interrupt, resume, and approve Codex app-server work while enforcing repository-root security.

Bridges Google Antigravity CLI with MCP clients, enabling 13 specialized tools for AI-assisted coding, automation, and security audits.

An MCP server that enables AI clients to delegate tasks to autonomous developer teams using Goose CLI subagents, supporting parallel and sequential execution across specialized roles like backend developers, frontend developers, and security auditors.

Orchestrates Claude Code and OpenAI Codex to plan, implement, review, and verify code changes via pull requests with security controls.

Bridges MCP to Cursor Agent via ACP, allowing Codex to delegate file edits and shell commands to Cursor for repository modifications, with security defaults.

A read-only MCP server that gives coding agents structured, read-only access to sibling repositories, ensuring security by design with zero write tools.

A Model Context Protocol (MCP) server that turns multiple AI coding agents into a coordinated team that chats, debates, remembers, audits security, and works in parallel on the same project.

Enables AI harnesses to run iterative loops on code repositories with built-in quality evaluations, security gates, and approval workflows for tasks like fixing tests or implementing features.

A MCP server that enables Claude Code to delegate coding tasks to Codex via the MCP protocol, with task management, security checks, and result verification.

Enables MCP clients to launch, supervise, inspect, cancel, and clean up autonomous coding jobs executed by the Google Antigravity CLI in isolated git worktrees and branches, with optional verification, review, and security auditing.

Provides GitHub Copilot with 160+ AI agent personas and 1,400+ specialized skills, enabling developers to activate expert roles like backend architect or security engineer through natural language.

Enables IDE integration with a multi-agent AI pipeline for solving, reviewing, and optimizing code through adversarial peer review and security filtering.

An autonomous AI development agent that enables full-stack coding, automated verification, RAG-powered code search, and quality assurance through MCP tools. Supports Gemini CLI, Claude Code CLI, with features like parallel verification, security scanning, and spec-driven development.

Enables ISLI agents and MCP clients to dispatch natural-language coding and terminal tasks to a locally-installed Claude Code CLI, supporting both one-shot execution and persistent sessions with workspace and security controls.

Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.

GhostLink is a security-hardened MCP server that gives AI coding agents safe, deterministic access to local repositories through sandboxed, policy-gated tools for searching, reading, patching, and running curated commands.

Enables MCP-capable clients to query the tool registry, check install status, get tool recommendations for CTF or bug-bounty work, and run installed security tools through a governed execution path.

A bridge between Gemini and GLM-4.5 models that provides 25 tools for automating complex coding tasks, file management, and system operations. It features a security-hardened architecture with sandboxing, persistent memory, and automatic file backups.

MCP server that provides 160 specialist AI agents as parallel sub-agents and MCP tools for tasks like security auditing, API design, DB schema design, and more. It is local-first with BYOK support and integrates with 12+ IDEs.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

A hosted AI software engineer that writes code, opens PRs, reviews code, generates tests, runs security scans, and answers codebase questions. Connect from any MCP client (Claude Code, Cursor, Windsurf, or your own agents) and delegate engineering tasks.