"Air France" matching MCP servers:

Unified air-gapped Model Context Protocol server exposing 9 deterministic developer appliances: PR anti-hallucination guard, AST token pruner (-70% tokens), Dockerfile bloat auditor, SQL anonymizer, and FinOps blast radius.

Enables AI assistants to analyze code repositories and generate self-contained interactive HTML5/SVG architecture diagrams from project structure or existing Mermaid diagrams, fully air-gapped with no external dependencies.

Enables local language models to request real-time peer review feedback from Google Gemini to improve response quality, accuracy, and completeness through AI collaboration.

A precision code-retrieval MCP server for coding agents working in large, legacy, and air-gapped codebases. It returns exact file and line range citations from natural-language queries without requiring the agent to perform blind searches.

Exposes read-only tools for OPC UA PLC tag monitoring and diagnostics, and enables template-driven, validated IEC 61131-3 SCL code generation with a mandatory human review gate before download.

Enables AI agents to perform local iOS reverse engineering through MCP by importing IPA files, querying Mach-O and Ghidra analysis for functions, references, calls, and approximate pseudocode, and saving evidence-backed findings. It supports investigation cases and exports HTML, Markdown, or JSON reports with provenance.

An MCP server that generates, runs, and triages tests by introspecting Python modules or web pages, using structured LLM outputs for scenario generation and failure analysis.

A TypeScript ESM MCP server exposing 20 public instruction tools and 7 utility tools, backed by 102 internal skills across 18 domain families — from requirements discovery and code quality through governance, resilience, and physics-inspired analysis.

The only Multi-LLM Compliance Engine (GPT-4o + Claude + DeepSeek). Auto-fix GDPR/LGPD risks and more 15 frameworks. code.guard.eu

Enables AI coding agents and developers to search code by meaning and exact text, map symbols, dependencies, blast radius and context, inspect git-change impacts, and trace live Python or JavaScript execution from a local air-gapped SQLite index.

Enables SAP teams to inspect, search, diagnose, and safely change ABAP objects and repository content through ADT, with role-based tool profiles, read-only defaults for non-development systems, and guarded preview/confirmation workflows.

Provides AI-powered development tools including code generation, refactoring, debugging, performance optimization, and test generation, along with smart prompts for code analysis and documentation, and a built-in knowledge base of coding best practices.

Integrates IDEs with the 1C:Напарник API, providing code analysis tools and documentation search for 1C.

Enables read-only, workspace-bound inspection of repositories and log files, returning JSON reports with file counts, largest files, TODO/FIXME markers, and warning/error counts.

MCP server for Angular 19+ development, providing PR review, code scaffolding, modernization audits, and Storybook guidance.

A local read-only AI workbench for navigating, auditing, and analyzing 1C:Enterprise 8.3 configurations via MCP-compatible clients.

Enables AI agents to edit files in VS Code with an interactive diff review panel, allowing users to accept or reject changes.

EU AI Act compliance scanner for Python AI agents. Scans, analyzes, and remediates LangChain/CrewAI/AutoGen/OpenAI code across 6 articles with 10 MCP tools including prompt injection detection, risk classification, and fix code generation.

An AI debugging agent MCP server that enables autonomous plan-act-observe debugging workflows, allowing repository exploration, code inspection, human-approved edits, and test execution through structured MCP tools.

A local-first MCP server that gives AI coding agents runtime visibility and AI-managed debug logging. It replaces blind print() debugging by turning runtime execution into causal chains, allowing agents to instantly locate bugs by finding missing .success events in Python and TypeScript code. Single binary with MCP, CLI, and HTTP interfaces.

Sentinel-IR-MCP MCP server for sentinel-ir: it lets AI agents in Claude Desktop, Cursor, Windsurf or any other Model Context Protocol client read a compact structural IR of JavaScript, TypeScript , Python And Rust files instead of the raw source.

Official Codna MCP server with Mojo-powered risk simulation. Maps repos with zero LLM tokens. 5 stdio tools: triage, root-cause analysis and fix plans (optional PRs), SARIF reachability proof, on-device code memory and bug reporting. Introspection needs no credentials; execution requires a one-time free codna login. Source: cli/codna/mcp_server.py. Registry: io.github.thyn-ai/codna.

Enables MCP clients to run Python static analysis and receive evidence-backed findings with causation traces, reproducible witnesses, and suggested verified patches.

Provides verified dependency-audit verdicts for AI agents, checking installed versions against OSV advisories and splitting direct vs transitive dependencies.

Enables AI agents to search Minecraft obfuscated name mappings (class, method, field) across 38 versions, aiding modding, plugin development, and reflection.

Checks OpenAI, Anthropic and Google model IDs for retirement: status, retirement date, days left and replacement, from the providers' deprecation pages, re-checked daily. Can also scan a project folder for retired or retiring model IDs with file and line, and list what retires in the next N days. No API key needed.

Local MCP server that provides DeepSeek-powered code review, file analysis, and consultation tools for coding agents, enabling read-only analysis with minimal token overhead.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

An MCP server that indexes a repository locally and provides keyword, semantic, hybrid, and SQL search tools, enabling coding agents to answer questions about the codebase efficiently without reading files one by one.

Enables coding agents to retrieve pull request review findings, reproduce and fix them locally, reply on review threads, report reproduction results, and request fresh reviews.

Regex AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

An MCP server that empowers AI coding agents to work effectively with Minecraft mod development, providing static analysis of decompiled source code and runtime interaction with a running Minecraft instance.

Enables coding agents to determine which dated upstream changes affect a local project, dependency list, or supplied files, and to retrieve the tested fix when one exists. It also supports listing upcoming breaks and fetching full details for a specific date.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

Publishes four flat, schema-light tools that let AI agents (including strict providers) search, describe, and invoke any of 139 reverse-engineering capabilities behind a persistent REA server. Enables file fingerprinting, inspection, and evidence-linked investigation of shipped software through plain-English requests, read-only by default.

Enables AI coding agents to query a compiled typed symbol graph over MCP, revealing real callers, callees, blast radius, data flow, constraints, dead code, and commit-history signals before editing. Supports repo syncing and ranked context retrieval so agents can avoid structural regressions.

Validates and tests llguidance grammars (Lark format), providing grammar validation, batch test execution, and syntax documentation.

A code review tool server based on Model Context Protocol (MCP) providing multi-dimensional code review and scoring.

Enables AI assistants to scan websites, public repositories, and OpenClaw/CLAW skills for security vulnerabilities, including local skill-package analysis before installation, cloud scans, and remediation guidance.