"Real estate listings in France" matching MCP servers:

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Provides real-time security risk assessment for AI coding prompts, analyzing potential dangers, blast radius, and complexity before code execution in Cursor.

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Maps function and component dependencies in Haskell and ReScript codebases, providing LLMs with a real dependency graph for accurate test generation and change-impact analysis.

Enables AI assistants to retrieve a project's architecture overview and file structure, auto-detecting monolith or multiproject layouts and exposing module listings to reduce token consumption.

Enables AI agents to self-govern by scanning code for hardcoded secrets, structural violations, and AI drift in real-time, providing fix packets for automatic remediation.

An AI Security Guardian MCP server that provides real-time vulnerability scanning, secrets detection, and secure coding enforcement for AI-generated code in modern web frameworks.

Enables models to reach all 170 reverse-engineering tools through four meta-tools for searching, schema lookup, calling, and bundle switching, so only a tiny fraction of the tool context is loaded by default. Function bundles can be activated or deactivated at runtime without restarting the host.

Enables agents to reverse-engineer software across native binaries, managed code, Electron apps, websites, and live runtime behavior, returning findings linked to the evidence and limitations behind each conclusion. It also maintains a durable workspace where those behaviors can be inspected, questioned, compared against real execution, and exported as runnable handoffs.

Enables LLMs to query OpenGrok for source code searches, including definitions, symbols, and project listings, returning clickable URLs.

Connects AI agents to local analysis tools that inspect native binaries, JavaScript/Electron apps, .NET assemblies, and websites without source code, so features can be explained, traced, and rebuilt. Every finding is returned with its supporting evidence and stated limitations.

Enables agent harnesses to explore a codebase in read-only mode, create line-anchored hierarchical execution maps, retrieve them as context, and verify map drift against real code or CI.

Builds, validates, and render-tests Panzoid Shader Object JSON in a real WebGL 1 Chromium context, exposing these capabilities as MCP tools.

Code-search engine that parses TypeScript and JavaScript with a real AST, stores the symbol graph in SQLite, and serves AI assistants exact matching declarations (functions, classes, types) via BM25 fused with declaration-exact ranking — saving tokens by returning only the relevant code instead of whole files.

MCP server that scans multi-language codebases to detect stubs, missing imports, and structural incompleteness, assigning drift scores to quantify LLM context erosion.

Serves an agent-ready knowledge base for evidence-oriented static analysis of native Windows PE32 and Delphi binaries, exposing workflows, headless Ghidra export guidance, read-only inventory tooling, and handover templates. It lets agents look up reproducible methodology that keeps observations, inferences, and unknowns clearly separated.

Connects coding agents to local analysis tools that inspect native binaries, JavaScript/Electron apps, .NET assemblies, and websites, returning findings with supporting evidence and stated limitations. This lets an agent explain how an existing feature works without source code and then build an equivalent implementation for the user's own project.

Enables agents to inspect and reverse-engineer native binaries, JavaScript and Electron apps, .NET assemblies, websites, and runtime behavior without source code, returning evidence-backed findings and limitations.

Enables an AI agent to reverse-engineer a compiled program with Ghidra — inspecting decompiled code, instructions, callers, memory bytes, and strings — without any source code. Every reply is labelled as fact, computed, or guess, and each claim traces back to hash-checked saved evidence.

Exposes VS Code diagnostic problems like errors and warnings in real-time to AI agents via the Model Context Protocol. It enables AI tools to see compilation and linting issues directly from the problems panel to provide context-aware debugging and automated fixes.

MCP server that enables agents to reverse engineer applications, from high-level behavior down to native binaries, using tools like Hopper and Ghidra.

Compiler-in-the-loop steering for coding agents - Cursor and Claude Code. It runs your workspace's real language server on each edit, extracts diagnostics scoped to the changed lines and type signatures, and feeds that back to the coding agent.

Scores MCP tool definitions and tool lists from 0-100, flagging vague descriptions, missing parameter docs, non-verb-first naming, oversized enums, and nested schemas with severity, rationale, and concrete fixes. It also validates marketplace listings against platform character caps such as MCPize's 500-character short-description limit before deploy.

Enables AI agents to inspect and decompile software they have no source for — Android APKs, Electron bundles, .NET assemblies, and Go, Rust or WASM binaries — plus adb device interaction, through a token-guarded Streamable HTTP MCP endpoint, stdio MCP, or a CLI. Ghidra-powered native binary decompilation can be opted in at startup for ELF, PE and Mach-O targets.

Enables AI clients to observe local codebases in real time through a secure, read-only MCP interface, providing workspace snapshots, git history and diffs, cross-project search, and project reality coverage without write access.

Exposes every command of the rea-agents CLI as dynamically generated, schema-driven MCP tools, letting clients reverse engineer binaries, JavaScript/Electron apps, .NET, WASM, EVM, SQLite and Android artifacts through natural language. Tool names and JSON Schemas are derived automatically from the CLI, so new rea releases add capabilities without code changes.

Lets agents inspect native binaries, JavaScript/Electron applications, .NET assemblies, websites, and runtime behavior, returning evidence-backed findings and limitations for understanding and reimplementing features.

This MCP server enables AI agents to investigate targets text-first, retrieve compact paged results with retained originals, use cropped images only for visual gaps, rank next actions through local Q-learning, export findings as OKF, and reconstruct approved web observations into frontend code. It runs locally over MCP stdio with schema discovery, exact upstream tool forwarding, provenance, and optional human feedback.

CodeGuard MCP is a real-time AI code security scanning tool used to detect vulnerabilities, keys, and compliance issues in AI-generated code, and is suitable for code security reviews in development environments

A collaborative code and markdown review tool that bridges human reviewers and AI agents, enabling both to browse files, inspect git diffs, leave structured comments, and save a final review report from the same UI in real time.