reelier
Related Servers
Alternatives to reelier
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityDmaintenanceRecords all MCP tool interactions in a centralized ledger, enabling developers to trace, replay, inspect, and audit AI agent workflows.-
- AlicenseBqualityBmaintenancePrivacy-first, tamper-evident receipts for MCP tool calls. It hashes and signs arguments/results so you can verify what ran, when, without storing raw payloads.2MIT
- AlicenseNot gradedqualityAmaintenanceThis MCP server provides a stateful, resettable, verifiable API runtime that gates every tool call, enabling agents to run long workflows against provider-shaped environments without live provider write access. It records decisions, side effects, and outcome evidence for replayable, verifiable benchmark runs.Apache 2.0
- AlicenseAqualityCmaintenanceCryptographic accountability for AI agents. Ed25519-signed receipts for every MCP tool call. Constraints, chains, AI judgment, invoicing, and local dashboard included.247 npm1MIT
- AlicenseNot gradedqualityBmaintenanceProvides a governed execution boundary for AI agents, enforcing deterministic policy, one-shot human approvals, and signed receipts for MCP tool effects.MIT
- AlicenseNot gradedqualityAmaintenanceEnables agent harnesses to route bounded choices and record execution receipts through MCP, with replay, supervision, context filtering, and fail-open behavior while the host retains permissions and execution.19 npm6MIT
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: scan discovers workflows, from_session compiles them into skills, replay executes skills, push shares receipts, and diff compares runs. No overlap or confusion.
All tools share the 'reelier_' prefix followed by a clear verb or action (scan, replay, push, from_session, diff). The pattern is consistent and intuitive.
Five tools is a well-scoped set for the domain of replayable skill management. Each tool serves a core function without redundancy or excess.
The tool surface covers scanning, compiling, replaying, sharing, and comparing skills. However, there is a notable gap: live recording of workflows is mentioned but not provided as a tool, which limits the server's ability to create new skills from scratch.