"Real estate listings in France" matching MCP servers:

Simple sequential thinking MCP in python

MCP server that packages DeepSeek agents as callable tools, offering a bare model for quick Q&A and a full agent capable of executing real coding and file-modifying tasks in a workspace.

Delegate a Cursor task to a real, unattended background OpenCode agent — cheaper model, isolated history — through five small MCP tools.

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.

Enables parallel execution of shell commands and AI coding agents (Claude, Gemini, Codex) across lists of items like files or URLs, with batched processing and real-time streaming output for batch operations.

Enables AI coding assistants to design, synthesize, heal, and export production-ready accessible web applications and design systems in real time with zero build overhead.

An AI-powered toolkit for the M8 mobile development framework that enables automated generation of Vue pages, low-code components, and mock data. It provides real-time code standard validation and a comprehensive UI component knowledge base to streamline development in AI editors.

Exposes a repo's decompilation tools as an MCP server, allowing AI to drive them with real-time visualization.

SealMCP is an MCP server for Roblox exploit script development, enabling AI agents to write and execute Luau code in the Roblox environment via WebSocket.

STOP UI SLOP. Gives coding agents searchable evidence from 800,000+ real web and iOS screens, design contracts, and a hard UI finish gate.

Bridges the ChatGPT web UI to a local development environment over MCP, letting the model read and patch files, run real shell commands and terminals, execute tests, and control the desktop (screen, mouse, keyboard, clipboard) within user-approved folders. It adds parallel workers, goal/loop long-task control, plugin tools, and a security-hardening layer with risk-tiered shell policy, audit logging, and credential sanitization.

Enables MCP clients such as OpenCode, Claude Code, and Codex to control a real VS Code editor by opening files, visibly typing code, running terminal commands, reading diagnostics, and fixing errors through the VS Code API. It makes AI programming observable by applying real progressive edits and actions that are visible on screen.

An MCP server that allows a planning agent to delegate tasks to executor agents (e.g., Claude Code, Aider) with bi-directional communication and real-time log streaming.

Delegates autonomous coding tasks to Z.ai's GLM models with a genuine agent loop, file operations, and verification via git and real process results.

Enables AI coding assistants like Cursor and Claude to engage in real-time two-way dialogue, allowing them to pause for clarification and request user confirmation before executing tasks. It features a modern UI for managing interaction prompts, predefined options, and project analysis to reduce errors and API costs.

Enables Codex/Astra to hand off complete task packets to DSH for real execution in a shared local workspace, with progress, tool calls, questions, and results written back to a shared .astra-dsh task board. Supports blocking waits, queued follow-up instructions, interrupts, cancellation, rework requests, and independent verification or diff review of the resulting changes.

Enables Codex to delegate code reviews, coding tasks, image/video generation, and background investigations to Grok via MCP tools.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

Enforces a git-tracked, code-checked finite state machine that hands control between a planning director and a local Ollama implementor, exposing tools to check phase status, transition states, and run the implementor to execute plan step files one at a time. It enables a project to be planned, implemented step by step with per-step test gating, and validated before completion.

A local AI agent system that gives any LLM real access to the filesystem, terminal, and codebase via MCP, usable as a standalone terminal agent or Continue.dev integration in VS Code.

A YAML-driven workflow guidance MCP server that enables AI coding agents to follow structured development workflows with real-time state tracking and progression control.

Graph-native bounded working memory for coding agents with typed memories, causal retrieval, current-vs-stale state queries, and compact small-model briefs.

Provides interactive visual plans for AI coding agents, allowing users to review, approve, and monitor execution in real-time.

Enables AI coding assistants to ask for human clarification and share thoughts in real-time, creating natural, engaging coding conversations.

Enables AI coding agents to perform surgical code analysis, semantic memory, and quality enforcement via 18 specialized MCP tools, with a real-time analytics dashboard.

Enables web AI agents to operate local projects through MCP, with real-time display of the actual model name and thinking effort.

A local MCP server that lets an agent hand real coding tasks to the signed-in Google Antigravity CLI, with background runs, follow-ups, live status, cancellation, independently collected change evidence, execution traces, model listing, login, and quota-based account rotation. It requires no API key, relying instead on the existing Antigravity login and optionally exposing agy models through a bundled local model gateway.

Empower any MCP-compatible AI Agent(MCP Client) with engineering-grade capabilities to understand, modify, run, and deliver real-world code repositories.

Enables coding agents to ground UI work in real product screens by returning inline reference screenshots, recorded design-system details (colors, typography, components, provenance), and licensed font or icon materials for unresolved visual questions. It also serves bundled design-skill documents, command prompts, and connection diagnostics through a token-free local adapter.

Enable Claude (or any other LLM) to interactively debug your code (set breakpoints and evaluate expressions in stack frame). It's language-agnostic, assuming debugger console support and valid launch.json for debugging in VSCode.