Execute qualquer Skill no Manus
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Execute qualquer Skill no Manus com um clique

cmd-mcp

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Atualizado27 de março de 2026 às 17:23

Performs autonomous ai tool exposure for mcp subsystem. Use when doing native json-rpc bindings, or when the user mentions model context protocol, agentic environments, or stdio tool servers.

Instalação

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Fonte

quantDIY

quantDIY/GERP

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

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SKILL.md

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name	cmd/mcp
description	Performs autonomous ai tool exposure for mcp subsystem. Use when doing native json-rpc bindings, or when the user mentions model context protocol, agentic environments, or stdio tool servers.
compatibility	["mcp:latest","go:1.21"]
metadata	{"gerp-domain":"mcp","gerp-status":"DRAFT","gerp-reviewer":"TODO","gerp-id":"skill-mcp-01"}

Model Context Protocol Server (cmd/mcp & internal/mcp)

This module builds the AI Brain Interface for GERP. It exposes the FAANG-grade architecture via the official Model Context Protocol (MCP) using JSON-RPC over STDIO. This allows AI Swarms (like Claude, Gemini, or custom orchestrators) to securely interact with the physical databases and Temporal Sagas autonomously.

Constraints

STDIO Transport: All data is structured over standard input/output streams natively.
Config Bound: The server strictly utilizes cli.InitConfig() to guarantee the AI agent is subject to the identical Spanner and Temporal environments as human sysadmins.

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name	cmd/mcp
description	Performs autonomous ai tool exposure for mcp subsystem. Use when doing native json-rpc bindings, or when the user mentions model context protocol, agentic environments, or stdio tool servers.
compatibility	["mcp:latest","go:1.21"]
metadata	{"gerp-domain":"mcp","gerp-status":"DRAFT","gerp-reviewer":"TODO","gerp-id":"skill-mcp-01"}

Model Context Protocol Server (cmd/mcp & internal/mcp)

Constraints

STDIO Transport: All data is structured over standard input/output streams natively.
Config Bound: The server strictly utilizes cli.InitConfig() to guarantee the AI agent is subject to the identical Spanner and Temporal environments as human sysadmins.