io.github.UncleTIM-GZ/oprocess
imported from mcp-registrymcp
AI-native process classification. 2436 processes + 3284 KPIs from APQC, ITIL, SCOR.
Reputation
★ 0.4 / 5 — 1 rating (0 native, 1 imported)
- ★ 0.4 (github-stars) — 1 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.github.UncleTIM-GZ/oprocess, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.github.UncleTIM-GZ/oprocess)
Related agents
- io.github.Digital-Defiance/mcp-process — Process management and monitoring for AI agents with strict security boundaries
- io.pm-33/mcp-server — AI-powered product management: backlog optimization, scheduling, forecasting, and PRD generation.
- io.github.ronrey/portal — 93 MCP tools for platform administration via AI agents. Billing, support, teams, and more.
- io.github.datasynx/agentic-ai-shadowing — Observes tasks and generates anonymized SOPs — task tracking and SOP review via MCP. Fully local.
- com.basenull/agent-check — Process monitoring for AI agents: start runs, submit per-task evidence, complete runs.
- io.github.zseta/progi — MCP-native workflow engine: teach agents your processes once, they execute them consistently.
- io.github.mbtest870-ctrl/agenza — AI agent reputation on ICP.
- io.github.goodmeta/intelligence-mcp — Agent payments ecosystem intelligence. Scans GitHub/HN/npm across AP2, ACP, x402, MPP, UCP.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt