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pAIchart MCP Hub

MCP Server

MCP Hub: AI service discovery, per-user OAuth, and multi-service workflow orchestration

Install

claude mcp add --transport http mcp-hub https://paichart.app/mcp

What is pAIchart MCP Hub?

MCP Hub: AI service discovery, per-user OAuth, and multi-service workflow orchestration

Trust

79/100 · Good

2 factors scored below maximum

Documentation

README · ~8 min read

pAIchart — Intent-Driven, Human-Gated Change Synthesis

Across network, cloud, and Kubernetes — on an open MCP hub, tracked as structured delivery. Give pAIchart a one-line objective and it synthesizes a reviewed, approved change package your team applies idempotently — out-of-band, with a rollback. pAIchart designs and reviews the change; it never applies it.

State the intent in plain language; pAIchart's delivery engine harvests your live systems, designs the change, authors the per-vendor config + validation + rollback, and an independent reviewer gates it. What comes back is a change you approve — you don't author it, and nothing is applied until a human says so. The expertise a multi-vendor change used to demand shifts from authoring across every system to approving one reviewed result.

Three layers make that work, and they're one product, not three:

  • The engine — synthesizes the change from intent (the Pipeline Harness, below).
  • The MCP Hub — how the engine reaches your live systems safely: every harvest is a Hub call, authenticated per-service with no shared secrets. It's also an open registry anyone can self-register a service with, and orchestrate.
  • Delivery management (POVs → Phases → Tasks) — where the objectives, tasks, artifacts, and change packages are organized, analyzed, and governed.

Agents and AI clients reach all of it through a single Hub with trust-level authentication and per-user OAuth passthrough.

What pAIchart Does

Change synthesis from intent — the delivery engine

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