# Iconsult MCP

> Iconsult MCP — marcus-waldman-iconsult-mcp. Use this tool when you need to evaluate and improve multi-agent systems, as it reviews architectures against a knowledge graph of expert-derived patterns to identify structural gaps and provides actionable recommendations with cited evidence. It solves problems of system design and optimization by offering maturity scoring, interactive diagrams, and chapter citations for further reference. Ideal for use cases requiring informed architecture decisions, Iconsult MCP streamlines the design process with data-driven insights and expert guidance.

Canonical page: https://skillsregistry.net/skills/marcus-waldman-iconsult-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marcus-waldman-iconsult-mcp

## Description

An architecture consulting server that reviews multi-agent systems against a knowledge graph of patterns derived from expert literature. It provides grounded recommendations with chapter citations, maturity scoring, and interactive architecture diagrams to identify and fix structural gaps.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wvrvvvd5xq)
- **Repository:** <https://github.com/marcus-waldman/Iconsult_mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "marcus-waldman-iconsult-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/marcus-waldman-iconsult-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/marcus-waldman-iconsult-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt