"XState" matching MCP servers:

Enables German real-estate appraisal calculations, including property depreciation and purchase-price allocation, through MCP tools backed by AfaMax APIs.

MCP server for the Stream.estate French real estate API. Search properties, get market statistics, manage saved searches with webhook notifications.

MCP server for querying the San Diego Municipal Code, bulletins, permits, parcels, and zoning data with citations and freshness guarantees.

Turn real-estate listing photos into cinematic property videos from your AI assistant. reel-estate-mcp is a Model Context Protocol (MCP) server that connects Claude, Cursor, and other AI assistants to your Reel Estate account — so you can generate motion clips, AI-edit photos (virtual staging, twilight, seasonal), add voiceover, and render finished listing videos, all in plain language.

Enables simulation of multi-qubit quantum circuits using complex state vectors, including unitary gates, entanglement, Born-rule measurement sampling, state fidelity, and probability distributions via MCP.

Enables MCP-compatible agents to arbitrate typed state-action schemas, dispatch routine actions deterministically, and apply pre-escalation filters that reduce unnecessary frontier LLM calls. It supports low-latency, schema-enforced routing with safety guardrails and local-first memory retention.

Enables searching government awards through the Sell to State API by proxying JSON-RPC to the live HTTP MCP endpoint, requiring an API key.

Access 17M+ geocoded French property transactions (DVF), 22M+ DPE energy ratings, and 20M+ building records via MCP or REST API. Search transactions, market stats, comparables, price trends, rental yield, flip detection, and more.

A stateless MCP server for AI film and video production that tracks project state, shot status, and updates, enabling consistent characters and continuity across generative video tools.

Enables AI agents to persist and restore checkpoint state, supporting crash recovery and replay for LangGraph-based workflows.

Enables AI agents to commit stateful workflow checkpoints by calculating state hashes and rollback points through the Model Context Protocol. It provides deterministic, dependency-free checkpoint management for autonomous agent execution.

Enables AI agents to construct SHA-256 Merkle trees and generate/verify inclusion proofs, validate JWT HMAC-SHA256 claims, run Schnorr zero-knowledge identification, and enforce constant-time secret comparison with nonce replay protection for tamper-evident state attestation. It runs as a zero-dependency, stdlib-only MCP stdio server for clients such as Claude Desktop, Cursor, and Windsurf.