genudo-ai/genudo_mcp

A lightweight bridge that connects Claude Code to Genudo's Model Context Protocol (MCP) server, enabling AI-powered workflow automation directly from your Claude Code interface.

This repository also configures its own agents. See what genudo_mcp tells them →

0Stars on the repository
40Mods indexed here, across every type
12d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

provision-pipeline

25

genudo-ai/genudo_mcp

Skill Claude CodeCodex

Create a new Genudo pipeline in the account from the staged local spec — creating the pipeline, its stages, variables, and actions via the connector. Use when the user has approved a drafted pipeline and says build it, push it live, provision it, or create it. Confirms before the first write and reports the created…

not rated 0 12d ago A 72 tokens original MIT

revenue-analyst

26

genudo-ai/genudo_mcp

Skill Claude CodeCodex

Use to analyze a Genudo workspace — funnel health, opportunity distribution, conversation quality, AI cost and performance, and operations reporting. Read-focused; proposes actions but confirms before any change. Use proactively when the user asks how things are performing, for the numbers, or for a funnel or…

not rated 0 12d ago A 66 tokens original MIT

genudo-ai/genudo_mcp

Skill Claude CodeCodex

Wire an end-to-end automation into a Genudo stage — collect the required data, fire an action when it's ready, and tell the customer the outcome. Use when the user describes a rule like "when name, phone, and course are collected in the closing stage, register the lead to Google Sheets and tell them someone will reach…

not rated 0 12d ago A 94 tokens original MIT

workspace-report

28

genudo-ai/genudo_mcp

Skill Claude CodeCodex

Produce an operations report for a Genudo workspace — account totals, AI cost and response time, and messaging volume by provider and time window. Use when the user asks for the numbers, a weekly or monthly report, AI spend, cost per deal, or overall performance across pipelines. Read-only.

not rated 0 12d ago A 62 tokens original MIT

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