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

RecordForgeofficial
AlicenseNot gradedqualityAmaintenanceEnables agents to capture real browser interactions over CDP, compile them into deterministic replay scripts with parameterized inputs and stored secrets, and execute those workflows with real input events — no page re-reading or LLM in the replay loop. Also emits portable Agent Skills from recorded workflows.694 npmAGPL 3.0- 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
- AlicenseAqualityDmaintenanceCryptographic accountability for AI agents. Ed25519-signed receipts for every MCP tool call. Constraints, chains, AI judgment, invoicing, and local dashboard included.245 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
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.