ping-iga-mcp-server

ping-iga-mcp-server

MCP server exposing Ping IGA self-service governance operations (access requests, approvals, certifications, and manual tasks) to MCP clients, acting on behalf of the authenticated user.

Category
Visit Server

README

ping-iga-mcp-server

MCP server exposing Ping IGA self-service governance operations — access requests, approvals, certifications, and manual tasks — to MCP clients, acting on behalf of the authenticated user.

Stack: JavaScript (ES modules) on Node 20 + Express. No TypeScript, no build step. Zod for runtime validation. MCP 2026-07-28 stateless transport.

Status: Phase 1 complete. Auth (introspection, throttle, rate-limit, RFC 9728 metadata) is wired. The /mcp endpoint and governance tools are built out phase by phase per the implementation plan.

Requirements

  • Node 20 LTS (.nvmrc pins 20)

Getting started

nvm use          # Node 20
npm install
cp .env.example .env   # adjust as needed
npm run dev           # starts with --watch on http://localhost:3000
curl http://localhost:3000/healthz   # -> {"status":"ok"}

Scripts

Script Purpose
npm run dev Start with node --watch
npm start Start once
npm test Run vitest
npm run lint ESLint
npm run format Prettier write
npm run inspector Launch MCP Inspector against the server

401 → metadata → token walkthrough

With the server running (npm run dev) and .env populated, the full bootstrap flow can be traced manually:

Step 1 — hit a protected route without a token; receive a metadata pointer

curl -si http://localhost:3000/_authcheck
# HTTP/1.1 401
# WWW-Authenticate: Bearer resource_metadata="https://<PUBLIC_URL>/.well-known/oauth-protected-resource"

Step 2 — fetch the resource-server metadata document (no token needed)

curl -s http://localhost:3000/.well-known/oauth-protected-resource | jq .
# {
#   "resource": "https://<PUBLIC_URL>",
#   "authorization_servers": ["https://<AIC_BASE_URL>/am/oauth2"],
#   "scopes_supported": ["iga:read", "iga:write", "iga:mutate"],
#   "bearer_methods_supported": ["header"]
# }

Step 3 — obtain a token from the authorization server listed above

Use the authorization_servers[0] URL with your preferred OAuth 2.0 flow (client credentials, authorization code, device flow — whichever your AIC tenant and client registration support). The resulting access token must have at least the iga:read scope.

Step 4 — call the probe route with the token

TOKEN=<access token from step 3>
curl -si http://localhost:3000/_authcheck \
  -H "Authorization: Bearer $TOKEN"
# HTTP/1.1 200
# {"sub":"<user>","scopes":["iga:read",...]}

/_authcheck is a throwaway probe route (D1=a) that will be removed when /mcp lands in Phase 2.

Deployment prerequisites

Beyond the skeleton, running the server against a tenant requires AIC configuration (a confidential client for token introspection, MCP tool-gating scopes, client registration, and verification of the tenant's token model). These are enumerated in the implementation plan and expanded in this README as each phase lands.

WebStorm

Shared run configurations for dev, test, and inspector are committed under .run/. Open the project folder in WebStorm; set the project Node interpreter to your Node 20 install. The .idea/ folder is intentionally not committed — WebStorm generates it on first open.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured