"Executing Operations and Maintenance Tasks, Such as Deployment and Upgrades" matching MCP servers:

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables AI agents to analyze and diff binaries by driving Ghidra headless or inside its GUI, exposing native reverse-engineering tools such as listing functions and segments, searching strings, decompiling, disassembling, and following cross-references. Ships with a devcontainer and supports local stdio or remote HTTP deployment.

Enables AI assistants to leverage VS Code's language intelligence for code navigation, refactoring, and analysis via the MCP protocol.

Enables MCP clients to load eight on-demand coding skills and inspect project repositories through bounded, read-only map, search, read, diff, checks, and style tools. It keeps context lean by loading skill bodies only when needed and limiting repository scan and output sizes.

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A production-ready Model Context Protocol (MCP) server that bridges your Symfony/PHP project with LLMs such as Claude. It exposes tools that let the AI read your project's routes, services, Twig templates, and PHP source code.

Enables AI agents to explain regex patterns in plain English and statically assess ReDoS risk before shipping, without executing the pattern or requiring an API key.

Exposes Beam's local, offline risk-scanning tools to any MCP-compatible host, enabling read-only heuristic detection of risky AI agent patterns without executing, blocking, or approving actions.

Enables AI coding agents and IDEs to prove SystemVerilog assertions with SymbiYosys (smtbmc+z3) and lint SVA syntax, returning honest verdicts such as PROVEN, FAILED, UNKNOWN, ERROR, or TIMEOUT.

Enables AI coding assistants to scan projects for security issues such as leaked API keys, missing Supabase RLS, open Firebase rules, unauthenticated routes, and hallucinated packages, then fix and verify the results.

Enables AI assistants to diagnose and fix iOS app issues that cause App Store rejections, such as missing privacy manifests, permission strings, and test credentials, before submission.

Provides bounded, read-only analysis of local project directories, enabling inventory, marker detection, and safe file reads without executing code.

Enables AI coding assistants like Claude Code to perform real-time code linting and get violation summaries from tools such as ESLint, Stylelint, P3C, and Checkstyle via a local server.

Exposes a project's Reado code-review annotations (tasks, comments, reading progress, bookmarks) as MCP resources, plus tools for an AI coding agent to resolve review tasks, drive guided pair reviews, and inspect Reado's live browser preview.

Enables static analysis of scripts without executing them, providing plain-English behavior explanations, decoded obfuscated content, IOC extraction, risk scoring, and MITRE ATT&CK mapping.

Provides Python refactoring capabilities via the Rope library, enabling AI agents to perform safe, project-wide code transformations such as renaming symbols, moving modules, and extracting methods.

This MCP server enables AI agents to act as native Ren'Py visual novel development assistants, covering code reading and writing, offline documentation search, compilation and lint verification, automatic bug fixing, asset management, save handling, and translation diagnostics. It lets agents inspect project labels and references, inject code, run SDK commands, and repair common issues such as return values, missing from clauses, BOM inconsistencies, stale saves, and incomplete translation blocks.

A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.

Enables coding agents to query compiler-grade code intelligence—such as references, definitions, implementations, and impact analysis—returning code snippets instead of file locations.

MCP server that makes git rebase safe for agents by refusing unsafe operations, presenting conflicts as two intents, and verifying the branch's change against its base.

Enables AI agents to interact with IDA Pro databases and GUI, supporting reverse engineering tasks such as analyzing binaries and querying open files via natural language.

Exposes read-only repository scanning across architecture, security, performance and product lenses, citation verification of findings against a working tree or git revision, and HTML/SARIF/Markdown dossier rendering as MCP tools for assistants such as Claude and Cursor.

Provides AI-powered assistance for Microsoft Business Central (BC) development, enabling users to get expert help with debugging, coding, upgrades, testing, and more through specialized AI agents.

Read-only MCP tools for coding agents to audit deployment targets, detect fabricated code, review backlog, database schema, analytics, ML models, architecture docs, and decision lenses.

Enables agents like Claude Code and Codex to statically scan .zip, .exe, .dll files and GitHub repositories for malware without executing them, explaining likely false positives and letting users dig into reports through natural language.

Enables AI assistants like Claude Code to directly connect to SAP ABAP systems via the ADT REST API with read/write capabilities, featuring AI-friendly high-level tools and built-in safety measures such as read-only mode, prefix whitelisting, and automatic locking.

A TypeScript/JavaScript refactoring MCP server that uses the TypeScript compiler to perform safe, type-aware code transformations such as renaming, extracting functions, and organizing imports across your codebase.

Enables MCP clients to connect to SAP ABAP systems and retrieve development information such as source code and table structures.

A comprehensive MCP server providing arithmetic tools, dynamic file resources for frontend/backend documentation, reusable prompt templates for code review/debugging/testing, and complete development workflow management from requirements to deployment.

Enables developers to analyze Django projects for risky code patterns such as cascade delete impact, N+1 queries, unsafe migrations, and unscoped tenant reads through MCP tools and a CLI.