"Search for SSE (Server-Sent Events, Secure Software Engineering, or Similar Topics)" matching MCP servers:

MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.

Provides software design guidance via MCP, including SOLID principles, design patterns, pattern scaffolding, and heuristic code-smell detection to help review and refactor code.

Enables AI clients to inspect backend systems through structured engineering tools including Git history, Winston logs, OpenAPI contracts, and sandboxed source code.

Enables AI coding environments to enforce engineering governance through MCP tools and resources for init, check, route, and review workflows.

Analyzes code repositories and generates comprehensive documentation published to Google Docs with Mermaid diagrams.

Enables MCP-compatible agents to perform read-only inspection of OpenPLC Editor projects, including retrieving project structure and listing programs, function blocks, and functions.

A Chinese-friendly, locally running MCP server for WeChat Mini Program engineering, helping developers break down ideas into actionable tasks, inspect projects, generate blueprints, and perform security scans.

Exposes 18 typed tools that drive real static-analysis engines (Ghidra, apktool, WABT, TShark, evmole, Rizin) over a single MCP endpoint to decompile binaries, audit APKs, scan EVM contracts, inspect WebAssembly, firmware, SQLite, and pcap data. Every call returns signed, verifiable evidence with an evidence_id, provider identity, SHA-256 artifact digest, and explicit limitations for security research, malware analysis, forensics, and CTF work.

Verify-and-repair secure-coding harness that generates, hardens, audits, and scores Go code with a build and security scan feedback loop, and includes a transparent proxy to harden any client automatically.

An MCP server plugin for Claude Code that analyzes local AI session logs to provide coaching on coding patterns, tool usage, and productivity insights via tools and slash commands.

Provides persistent memory and semantic code understanding for AI assistants using MongoDB Atlas Vector Search. Enables intelligent code search, memory management, and pattern detection across codebases with complete semantic context preservation.

Provides a secure, containerized Python sandbox for executing LLM-generated code with multi-layer isolation, along with JSON/CSV validation and workspace state snapshots.

Enables decompilation and reverse engineering of Java JAR files through multi-engine decompilation, candidate evaluation, Maven project structuring, AST-based deobfuscation, and bytecode comparison.

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

A Python MCP server that decompiles Android APK/XAPK/JAR/AAR files and extracts HTTP APIs used by the app.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file watching. Provides an admin UI and integrates with MCP clients for natural language code queries.

Semantic + lexical code search as an MCP server. Agents query in natural language and get back ranked file:line ranges to read precisely.

MCP server that enables AI agents to analyze legacy code, plan and execute software migrations, generate modern source code, and validate production-ready artifacts through a multi-agent pipeline.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.