"Screenshot or Screen Capture" matching MCP servers:

A calibrated faithfulness screen for informal↔Lean 4 statement pairs, served over MCP. It provides deterministic checks and deep LLM-based analysis to help draft Lean statements.

Godot 4 MCP server with: Test running (GUT/GdUnit4) with structured pass/fail results API docs search with 30+ Godot 3→4 migration mappings Script analysis detecting 10 common GDScript pitfalls Scene/resource file parsing with antipattern detection Viewport screenshot capture LSP diagnostics from Godot's language server TypeScript, cross-platform (macOS/Windows/Linux), published on npm

Enables automated pull-request review workflows for Angular repositories by providing tools to generate, read, and save diffs, and to fetch review templates.

Enables AI agents to screen GitHub repositories and pull requests for risk analysis, generating risk scores, findings, and merge-readiness signals.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

Enables LLM-powered debugging with rr reverse execution, allowing record and replay of program execution via GDB/MI for forward and reverse state inspection.

Provides ChatGPT read-only access to inspect repositories, code, merge requests, pipelines, and CI logs on self-managed GitLab instances, including those reachable only from a private network or VPN.

Enables source-first orchestration and knowledge indexing with inspectable architectural capabilities through a unified MCP interface, including named-attribute retrieval and atomic knowledge ingestion.

A focused Model Context Protocol server for triaging and reviewing GitHub pull requests from Claude Desktop, Cursor, and other stdio-compatible MCP clients.

Enables AI agents to drive Ghidra for static malware analysis, including decompilation, renaming, cross-referencing, and annotated screenshot evidence capture.

MCP server for code and UI safety: provides blast-radius analysis, breaking-change detection, headless UI capture and diffing, and checkpoint/rollback for workspaces.

A Model Context Protocol server that generates pull request descriptions, commit messages, and code reviews from actual code changes using git diff.

MCP server for developing Quickshell widgets that lets AI agents render individual widgets to PNG previews offscreen, without screen capture or affecting the live shell.

Uses Claude as an independent second-model reviewer inside Codex, performing reviews on disposable Git snapshots with structured findings.

Serves an AI coding agent a searchable index of a codebase's existing capabilities and past incidents, so it can find and reuse what already exists before writing new code. Also exposes blast-radius analysis for shared code and lets the agent reindex the knowledge base, all via local retrieval with no model calls or API keys.

Enables automated GitHub Pull Request reviews using local Ollama, Cursor CLI, or Gemini CLI as AI providers. Supports customizable review prompts, comprehensive PR analysis, and optional auto-posting of reviews to GitHub.

A Cursor-compatible toolkit that provides intelligent coding assistance through custom AI tools for code architecture planning, screenshot analysis, code review, and file reading capabilities.

Local Windows MCP server for guarded x64dbg/x32dbg sessions: target identity by SHA-256, breakpoints, verified memory writes, runtime capture, PE dumps, and IDA evidence using module RVAs.

Enables AI tools to collect a compact, structured context bundle for a Spring Boot + MyBatis screen by walking the dependency graph from a route, controller, or file.

A zero-cost, multi-server MCP suite that provides a unified gateway and LangGraph-based automated PR-review agent, enabling code analysis, GitHub operations, and documentation generation via free-tier APIs.