"List of Publicly Available SSE (Server-Sent Events) Servers" matching MCP servers:

Enables checking project files like Dockerfile, .nvmrc, and CI workflows to determine whether pinned runtime, database, and OS versions are still supported, providing end-of-life dates, latest patches, and upgrade targets for 470+ products.

Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.

An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.

Validates Mermaid diagrams with comprehensive grammar parsing supporting 28+ diagram types. Processes markdown files, ZIP archives, and direct input with detailed error reporting and enterprise-grade performance capabilities.

Enables MCP clients to inspect, edit, and validate Arma Reforger addons in Workbench, including Enforce Script source, prefab/world files, resource GUIDs, and Workbench startup diagnostics.

Enables AI agents to run deterministic database intelligence tasks including natural-language-to-SQL synthesis, AST SQL auditing and optimization, schema migration diffing, SQL transpilation, index and normalization advice, PII scrubbing, fixture generation, connection-pool sizing, isolation-hazard auditing, and ORM model compilation over Streamable HTTP or stdio.

Enables developers and AI agents to compress context, plan token budgets, rerank results, patch code, analyze ASTs and dependencies, isolate stack traces, compile polyglot types, solve deterministic math, schedule constraints, judge A/B tests, and diff agent memory checkpoints through 12 specialized tools.

Enables scanning diffs or code blobs for leaked secrets, returning a verdict with severity and masked findings, all processed locally with no data sent externally.

Provides access to Ant Design component library documentation and information for automated code generation. Enables searching components by category or keyword, retrieving component props, examples, API documentation, and available icons.

Enables Claude to perform thorough code reviews by integrating with Codex and Gemini CLIs to provide senior-level feedback on code quality, security, performance, and best practices. Supports reviewing code snippets, individual files, or entire directories with automatic detection of available review tools.

CodeSafer is an MCP server that scans AI-generated code for 9 categories of hidden security threats — including invisible Unicode, Trojan Source, homoglyphs, and rules file backdoors — using static analysis plus CodeBERT deep learning. Runs locally, free tier available.

Token-safe code search for AI agents: queries the language-server index (clangd / Roslyn / tsserver / pyright) instead of grep and returns a token-capped file:line list — ~20x fewer tokens. Symbol-level editing + a grep→index rewrite hook. Local-only, no IDE.

Lets AI coding agents read an outline of a large file or a digest of noisy command output instead of the full text, while every hidden line stays retrievable on disk through a run handle. Agents can request only the line ranges, slices, or grep matches they need and list recent runs, cutting token spend without losing information.

Enables exploration and decompilation of Minecraft source code, allowing users to list versions, search classes, and decompile .class files on-the-fly.

An MCP server that inspects AI-generated code and returns a deterministic list of structural and safety violations, so an AI coding agent can fix its own output before the code lands.

Enables AI to precisely use local Vue components by extracting their Props, Events, and Slots via AST analysis.

Enables local-first, fail-closed security auditing of AI coding outputs by detecting Korean PII, secrets, configuration risks, and MCP-native threats, while mediating runtime events and gating releases with actionable verdicts and next steps.

Gives coding agents structured, source-level knowledge of the ViroReact AR/VR library for React Native, letting them look up component props and events, find example scenes, generate and validate scenes, check platform support, and diagnose errors against known issues. It plugs into any MCP client as a read-only knowledge base built from the library's source, docs, and showcase examples.

Provides on-machine security scanning for Copilot-generated code, including SAST, secrets, dependency, container, and configuration checks, plus AI-specific risk detection, with findings and fixes available via MCP tools.

Enables agents to perform local, deterministic, read-only inspection of native binaries, compare binaries, and retrieve or list verifiable evidence records.

Validates AGENTS.md files against the cross-vendor coding-agent spec, detecting security smells and consistency issues.

Enables agents to grade any public GitHub repository, returning overall and category scores plus prioritized fixes, and to list all available checks.

Enables MCP clients and AI agents to search, read, list, and reindex locally indexed private code repositories using read-only, path-confined tools.

Enables users to read code with selection-based floating explanations, file-purpose summaries, interactive code mind maps, and source navigation, available as an independent web app or Codex plugin. It supports local-only reading workflows, model selection, caching, and project context without sending chat messages.

Enables AI-driven reverse engineering with x64dbg via 71+ MCP tools for breakpoints, memory, disassembly, tracing, debug control, PE analysis, and anti-anti-debugging, supporting HTTP, SSE, and stdio transports.

Analyze GitHub repositories into structured JSON with tech stack detection, dependency analysis, health signals, and security checks. No AI, fully deterministic. Available as CLI and MCP server.

MCP server that helps AI models understand Vite/Nuxt applications better, available as both a Nuxt module and Vite plugin.

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.

A live post-mortem debugger MCP server for Home Assistant that lets AI agents list captured exceptions, walk traceback frames, read local variables, and optionally evaluate Python in the context of a captured frame for true post-mortem debugging.

An MCP server for automated code review of GitHub pull requests. It checks security, quality, and license issues, and provides tools to list, inspect, and review PRs.