"XState" matching MCP servers:

Turns a single XState-compatible finite state machine config into a voice-driven MCP surface, generating one tool per event and a resource exposing the current state, context, and available actions. Lets voice assistants and other MCP clients drive stateful conversations and workflows from one source of truth, with guards enforced at call time and state prompts used as spoken replies.

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.

Free remote MCP for Core Web Vitals metrics by CMS, CDN, and framework (Chrome field data + multi-site crawl). No auth. Endpoint: https://www.corewebvitals.io/api/state-of-cwv/mcp

Enables an AI-assisted PC assembly workspace with deterministic validation, simulations, and safe undo through WebMCP tools.

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

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

Enables users to simulate multi-qubit quantum circuits through an MCP interface, including unitary gates, entanglement, Born-rule measurement sampling, fidelity/probability calculations, and Grover amplitude amplification. Integrates with Claude Desktop, Cursor, and Windsurf via JSON-RPC stdio.

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.

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.

Enables automation and external tool interaction with a digital business process model through structured API tools for model editing, validation, and export.