"GNOME Terminal" matching MCP servers:

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

Enables AI agents and terminal users to query codebases for callers, impact, tests, dependencies, and refactor previews using static AST analysis, with every match accounted for and uncertain relationships clearly marked.

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.

Enables read-only code search in a specified local directory and public web search through the user's own Devin session, with login handled only in the terminal.

Exposes a running VS Code instance to AI agents via MCP, enabling file operations, LSP diagnostics, terminal commands, Git workflows, and refactoring.

Enables external MCP clients to discover and read a trusted VS Code workspace, inspect diagnostics and symbols, preview and apply conflict-safe edits, and run individually approved terminal commands through a local authenticated bridge.

Enables AI coding agents to compress terminal output and file context in real time, preserving full error tracebacks while reducing token consumption by 60-85%.

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 Claude Code to use VS Code's tools, including diagnostics, symbol renaming, command execution, file opening, workspace listing, semantic search/API reference, terminal context, and integrated browser page interaction. It lets Claude see and act on the user's VS Code window, including shared browser pages and Markdown Editor selections.

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.