"terminal" matching MCP servers:

A debugging workflow plugin for AI coding agents. Turns terminal failures into source-backed fixes via MCP and structured skills.

Provides project management capabilities through terminal, web UI, or MCP stdio, including plans, code analysis, and filesystem-safe operations.

Expose your VS Code workspace's tools — files, terminal, LSP, diagnostics, and images — to remote MCP clients over a public HTTPS tunnel.

Integrates Google Gemini AI into Warp terminal workflows through three focused tools: single-turn chat for quick questions, multi-turn conversations with context preservation, and AI-powered code analysis with bug detection and optimization suggestions.

Provides brutally honest code reviews, explanations, and refactoring suggestions via CLI and MCP tools.

Enables an MCP-capable assistant to review GitLab merge requests, GitHub pull requests, and pre-push local branches against ticket requirements, domain rubrics, compiler/lint pre-passes, blast-radius analysis, and SonarQube findings, and to draft inline comments or follow-up tasks in the user's chosen language. Nothing reaches a remote host until a human approves the exact content in an interactive terminal.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

Connects Claude Code to a Latent Defense deployment to map GitHub repositories into an infrastructure graph, discover attack paths using the JEPA energy model, and triage findings from the terminal.

Enables AI agents to access a codebase context, select relevant files, and route queries to the appropriate AI model based on complexity, all through an MCP interface.