SKILL.state MCP Runtime
Related Servers
Alternatives to SKILL.state MCP Runtime
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceProvides an external, validated state database for LLM agents to manage long-horizon tasks, with tools for defining schemas, invariants, actions, procedures, and branching, preventing state drift and compounding errors.-
- AlicenseNot gradedqualityBmaintenanceProvides durable mission state for AI agents, enabling crash-safe recovery, verified completion, and explicit reconciliation of uncertain side effects without duplicate or blind retries.3Apache 2.0
- FlicenseNot gradedqualityBmaintenanceEnables coding agents to preserve and recover structured task state across context loss, recording objectives, constraints, decisions, and plan, and reconstructing a bounded deterministic context block on session resume.-
- AlicenseNot gradedqualityBmaintenanceEnables AI coding agents to execute formal, stateful workflows with typed contracts, postcondition enforcement, and structured retry logic.1Apache 2.0
- AlicenseAqualityDmaintenanceProvides 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.4MIT
- AlicenseNot gradedqualityDmaintenanceEnables step-debugging, deterministic replay, and signed audit evidence for AI agents, compliant with EU AI Act.44 PyPIMIT
TDQS
Scored across 5 tools
Each tool addresses a distinct lifecycle operation—create, step, async inject, parse, and close—so boundaries are mostly clear. The only mild ambiguity is between execute_step and parse_turn_response since both involve state patches and actions, though their roles are explicitly separated as advancing versus preprocessing.
All tool names follow a consistent verb_noun snake_case pattern: execute_step, inject_observation, parse_turn_response, close_session, and initialize_skill. This makes the tool set predictable and easy to navigate.
Five tools cover the core session lifecycle without redundancy: initialization, step execution, async observation injection, response parsing, and cleanup. This is a well-scoped count for a focused runtime server.
The lifecycle tools cover create, advance, inject, parse, and close, with no dead ends in normal operation. A minor gap is the lack of a lightweight session introspection or listing tool, forcing agents to infer current state solely from the last execute_step output.