@brightbeamai/chap-coordinator-mcp
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Alternatives to @brightbeamai/chap-coordinator-mcp
- AlicenseBqualityBmaintenanceGovernance Intelligence Architecture (GIA) is a governance-first MCP server that provides approval gates, auditable decision logs, compliance mapping, and operational safety controls for Claude agents. It connects Claude Desktop and Claude Code to a hosted governance control plane for secure, production-grade AI workflows.53293 npm5-
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@quirna/mcpofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to request human approval before consequential actions, with policy-based routing, phone-based approver decisions, and signed audit evidence.351 npmMIT- FlicenseNot gradedqualityBmaintenanceEnables AI coding agents to evaluate actions against team-defined policies, record decisions, and obtain human approvals for potentially risky operations.57 npm1-
- AlicenseNot gradedqualityBmaintenanceProvides governed tools for evaluating proposed agent actions against policy, classifying risk, and creating structured governance and audit records, while pausing consequential steps for explicit human approval. This lets agentic workflows run under traceable, least-privilege control rather than unrestricted automation.MIT
- FlicenseNot gradedqualityBmaintenanceEnables autonomous agents and multi-agent frameworks to route actions through deterministic human approval gates before execution. Enforces risk tiers, reversible checkpoints, and token approval bounds so that risky or costly operations can be reviewed, bounded, and rolled back without LLM round-trips.7-
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raposa-mcpofficial
AlicenseAqualityBmaintenanceHuman approval for AI agents: request_human_approval pauses a high-stakes action until a named person approves or rejects (console, email, Telegram, Slack); silence is not consent. Every decision is sealed in a hash-chained audit log. EU-hosted.319 PyPIMIT
TDQS
Scored across 39 tools
Each tool is namespaced by domain (workspace, participant, task, review, deliberate, audit) and targets a distinct action; even the several state-changing task tools are separated by explicit verbs like complete, update, cancel, and supersede. The few routing/decision tools (route, depth, auto) have clearly different outputs despite all recording route_decision artefacts.
All tool names follow the same chap.<domain>.<verb> pattern with consistent snake_case and verb-final naming. Verbs are descriptive and domain prefixes make the action hierarchy predictable, so an agent can infer where a tool belongs.
At 39 tools, the surface is well beyond the 16-25 heavy range and even past the 25+ threshold for too many. Although the broad coordination/audit domain justifies many operations, the sheer number will make tool selection costlier and suggests some consolidation could be considered.
The surface covers nearly the full lifecycle: workspace creation/describing, participant management, task creation/state transitions, review, escalation, deliberation, handoff, control/snapshot, and SCITT audit verification. Minor gaps exist (no direct task/workspace listing or deletion), but agents can work around them via describe and audit.read.