"XState" matching MCP servers:

Enables Claude to drive a gated incident-response runbook that enforces step order and logs all actions via an XState machine.

Provides state and log management tools designed for long-lived AI agents that may be interrupted and resumed. It enables tracking agent progress and maintaining an append-only event history to ensure continuity across multiple sessions.

Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and speed up development.

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.

A small MCP server that stores and retrieves compact decision-relevant state (goals, constraints, facts, decisions) outside the chat context, enabling easy retrieval for Claude Code or Codex.

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.

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.

Provides complete world location data (countries, states, cities) as an MCP server for AI assistants, enabling search and retrieval of geographic information through 11 tools and 5 resources.

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

MCP server that lets citizens search and book Parks Canada campgrounds, accommodations, day use, and backcountry permits through their own AI assistant, with secure local session handling and payment completed by the user in their own browser.

Enables validating, simulating, and analyzing finite state machines via MCP tools for step execution, path finding, and schema inspection.

Enables agents to access local physiological context—Libre glucose, heart-rate, and watch history—with provenance and freshness metadata, so they can recognize when a user seems unusually off.

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.

Enables AI agents to arbitrate typed state-action schemas and dispatch deterministic actions locally, so routine or reflexive decisions are resolved in sub-millisecond fashion instead of incurring expensive frontier-LLM calls. It also applies token-saving pre-escalation filters, escalating only ambiguous or multi-hop plans to larger models while enforcing reversible execution checkpoints, strict token budgets, and local-first memory retention.

Enables automated collection of apartment listing data from Naver Real Estate using Playwright browser automation with passive network response capture. Provides MCP tools to search complexes, resolve property identifiers, and extract normalized listing information including duplicate properties.

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

Enables AI agents to capture and commit stateful workflow checkpoints during autonomous execution, computing deterministic state hashes and rollback points. It runs as a zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, and other MCP-compliant clients for reliable, low-latency checkpoint management.