1. Conduid
  2. Healthcare
  3. AI Dashboard
MCP server · Healthcare

AI Dashboard

AI based dashboiard for marketing and lead

Unclaimed healthcare
37Low

Scored a month ago · breakdown

About AI Dashboard

AI Dashboard is an MCP server in the Healthcare category: aI based dashboiard for marketing and lead.

Install

Claude Code
claude mcp add ai-dashboard -- npx -y @raj-sadan/ai-dashboard
npx
npx -y @raj-sadan/ai-dashboard

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about AI Dashboard

Powered by Claude · Grounded in docs

I know everything about AI Dashboard. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

ai-dashboard

Operator dashboard for an AI nervous system. One HTTP surface that aggregates organ health, proxies API calls, tails network events, and stitches the rest of the ai-* family into a single page.

Lifted from raj-sadan, where it was the operator-facing layer over four organs (mind/senses/memory/knowledge). Generalized so any multi-service system can drop in a registry.toml and get a working dashboard.

Status: v0.1.0. Single-page chrome, registry-driven organ tiles, proxy passthrough, SSE network log, 4 MCP tools. Stub organ client is the default — runs out of the box without anything else listening.

What it does

Surface Where
Organ status grid / (index page, auto-refreshes)
Aggregate health GET /api/organs/health
Single organ health GET /api/organs/:organ/health
Network event log (tail) GET /api/network/events?limit=N
Network event stream GET /api/network/stream (SSE)
Per-organ proxy ALL /api/<organ>/* → registered URL
Registry view GET /api/meta
MCP tools stdio: dashboard_health, dashboard_organ_health, dashboard_tail_events, dashboard_meta

The dashboard never holds organ logic — it only tiles, proxies, and observes.

Install

npm install @vraj0703/ai-dashboard

Optional peer dependencies (install only what you need):

npm install @iarna/toml                  # if you use a .toml registry
npm install @modelcontextprotocol/sdk zod  # if you use the MCP server

Use

CLI

ai-dashboard --registry ./registry.toml
ai-dashboard --registry ./examples/simple/registry.toml --port 4000
DASHBOARD_USE_REAL_ORGAN_CLIENT=1 ai-dashboard --registry ./registry.toml
Flag Env Default
--registry <path> DASHBOARD_REGISTRY (required)
--port <n> DASHBOARD_PORT registry.meta.port or 3491
--host <addr> — 127.0.0.1
--brand <name> DASHBOARD_BRAND registry.meta.brand
--static-extra <dir> — (none — repeatable)

Programmatic

const { startDashboard } = require("@vraj0703/ai-dashboard");

await startDashboard({
  registry: "./registry.toml",        // path or already-parsed object
  port: 3491,
  staticExtras: ["./my-extra-pages"], // optional consumer-supplied pages
});

Registry format

[meta]
name    = "my-system"
brand   = "My System"
tagline = "Optional sub-header"
port    = 3491

[[organs]]
name = "service-a"
url  = "http://127.0.0.1:9001"
badge = "edge"          # optional, shown on the tile

[[organs]]
name = "service-b"
url  = "http://127.0.0.1:9002"
proxy_path = "/api/b"   # optional; defaults to /api/<name>

JSON works too — same shape, drop in .json instead of .toml.

The dashboard expects each organ to expose GET /health returning JSON with at least { status, version }. Anything beyond that is optional and ends up in details on the tile.

Stub default

The default organ client is StubOrganClient — it returns canned running responses for every organ in the registry. The dashboard runs out of the box even if nothing is listening on the configured URLs.

This is deliberate. New consumers see a working dashboard immediately; live wiring is a one-env-var swap:

DASHBOARD_USE_REAL_ORGAN_CLIENT=1 ai-dashboard --registry ./registry.toml
# or:
DASHBOARD_USE_REAL=all ai-dashboard --registry ./registry.toml

MCP tools

If you install the optional MCP peer deps:

npm install @modelcontextprotocol/sdk zod

You can mount the dashboard as an MCP server in your AI tool of choice:

const { createMcpServer, startStdio } = require("@vraj0703/ai-dashboard/mcp");
const { createContainer } = require("@vraj0703/ai-dashboard/container");
const { loadRegistryFile } = require("@vraj0703/ai-dashboard");

const container = createContainer({ registry: loadRegistryFile("./registry.toml") });
const server = createMcpServer({ container });
await startStdio(server);
Tool Purpose
dashboard_health Aggregate health of every organ in the registry
dashboard_organ_health Health of a single named organ
dashboard_tail_events Most recent N entries from the proxy network log
dashboard_meta Brand + organ list (so an agent can discover what exists)

Custom pages

Drop your own HTML/CSS/JS into a directory and pass --static-extra <dir>. Files there are served before the bundled chrome — same filename overrides bundled assets:

ai-dashboard \
  --registry ./registry.toml \
  --static-extra ./my-pages

This is how raj-sadan keeps its principal-specific pages (chat, costs, brain, knowledge) without polluting the framework.

Architecture

Clean architecture: domain/ → data/ → presentation/ → di/. See ARCHITECTURE.md.

Single source of organ truth: the registry. Use cases never see organ names directly — they ask the client list(). Swap the client and the rest of the system follows.

Sibling packages

Repo Role
ai-mind Decision-making organ
ai-senses Perception (WhatsApp, mobile, infra)
ai-memory Vector + structured memory
ai-knowledge Capability registry + Hebbian reinforcement
ai-constitution Governance framework + minister templates
ai-architecture-renderer SVG perspective renderer

Use the examples/raj-sadan/registry.toml shape to point a single dashboard at all six.

License

MIT.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About AI Dashboard

How do I install AI Dashboard?

Run claude mcp add ai-dashboard -- npx -y @raj-sadan/ai-dashboard, then add the server to your MCP client's configuration.

Is AI Dashboard safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is AI Dashboard still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.