"nexus play" matching MCP servers:

NEXUS enhances AI coding agents with semantic code indexing, context engineering, change impact analysis, persistent memory, safe execution, and deterministic orchestration through 31 MCP tools.

Unified MCP server: hybrid search + code graph + semantic memory. 10 tools, <350MB RAM, fully local. No API keys.

Enables AI IDEs and coding agents to navigate code at the AST symbol level, perform surgical, collision-free refactoring, and resolve live library documentation. It also supports project onboarding memory, giving agents semantic precision without regex guesswork or heavy dependencies.

A multi-purpose MCP server with 11 tools for math, text analysis, data conversion, code analysis, charts, generators (UUIDs, hashes), datetime operations, regex matching, color conversions, CSV parsing, and diff comparison.

Enables coding agents to query a parsed graph of a repository and to recall what earlier sessions learned about it, both stored in FalkorDB behind one traversal. It exposes eight MCP tools over stdio for locating symbols, tracing calls and impact paths, and writing or recalling user- and repo-scoped facts, procedures, and handoffs.

Enables AI agents to conduct authorized mobile banking reverse engineering and security research through 50+ MCP tools spanning APK analysis, Frida instrumentation, malware detection, Play Integrity bypass detection, no-root traffic interception, and evidence reporting.

Enables AI agents to inspect and reverse-engineer native binaries, JavaScript/Electron apps, Go and Rust binaries, WASM, EVM bytecode, SQLite databases, and recorded crashes through a single MCP interface that bridges tools such as Ghidra, Frida, Hopper, binwalk, and jadx. Returns evidence-backed findings—pseudocode, symbols, strings, imports, routes, IPC boundaries—so agents can explain behavior and build similar features.

Provides production insights and code analysis by leveraging Nexus instrumentation data to identify CPU-intensive methods and visualize execution flow trees. It enables developers to make data-driven decisions through real-time performance metrics and automated service discovery from Java class names.

Enables AI agents to play Space Station 13 and similar games by proxying their connection to game servers and providing gameplay, code-reading, and admin tool capabilities.

Read-only server that reports what is actually true in a local Ansible checkout: the option specs of installed modules, task-argument validity checks, role interfaces, redacted inventory, play structure, effective config, requirements drift, and which tasks a collection upgrade would break. It lets coding agents verify specs and arguments against the installed collections before writing anything, without running plays, connecting to managed hosts, or supplying vault secrets.

Provides persistent architectural memory and structural cognition for AI coding agents, enabling efficient orientation, graph-aware context, and drift detection across codebase evolution.

Enables AI coding assistants to scan an iOS, Android, Flutter, React Native or Expo project for App Store and Google Play rejection risks, returning deterministic findings that cite the guideline section, link to the official Apple or Google page and explain how to fix each problem. Nothing leaves the machine and no AI is used in the checks.