IdenGraph

Identity & Access intelligence powered by Microsoft Graph and MCP.

A read-only MCP server that turns natural-language questions into audited answers about Microsoft Entra ID and Azure RBAC — answered by your own Copilot, inside VS Code.

It never writes. Every create, update, delete, grant, or privilege-activation operation is blocked before routing.

What you can ask

• Who has Owner on Azure? And who holds Global Administrator in Entra?
• Which applications were created in my tenant, and which are Microsoft first-party?
• Which users have no MFA, or rely on weak methods?
• Which application secrets expire in the next 30 days?
• Which objects have no owner assigned?
• What is the blast radius of a given identity?
• Are we paying for security features we don't use?

66 tools across users, groups, applications, service principals, managed identities, PIM, RBAC, authentication, conditional access, ownership, privilege timeline, licensing posture, and toxic combinations (SoD).

Design principles

These three rules define the behavior, and they matter more than the feature list.

Source separation

Microsoft Graph answers for identity and directory. Azure APIs answer for RBAC and resources. Graph is never treated as a source of truth for Azure RBAC.

No false zero

If a permission is missing, the answer is PERMISSION_DENIED with NOT_EVALUATED coverage — never 0.

"I could not evaluate this" and "this does not exist" are different answers. Conflating them in an audit is worse than not answering at all, because a false zero looks like a clean result.

This applies to licensing too: zero conditional access policies means something entirely different when the feature isn't licensed versus when it's licensed and unused.

Read-only by construction

Only GET, LIST, QUERY, ASSESS, and CORRELATE. There is no LLM-generated KQL and no free-form endpoint: every query goes through a capability registry with an allowlist and validation of filters and scopes.

Architecture

flowchart TB
    User(["You"]) -->|natural language| Copilot["Copilot Chat<br/><i>your own model</i>"]
    Copilot <-->|MCP / stdio| Server

    subgraph Server["IdenGraph MCP Server · 66 read-only tools"]
        direction TB
        Router["Capability router<br/><i>intent → capability</i>"]
        Guard{{"Write guard<br/><i>blocks mutations</i>"}}
        Registry[("Capability registry<br/>43 capabilities · 29 domains")]
        Executor["Read-only executor<br/><i>allowlist + validation</i>"]

        Router --> Guard --> Registry --> Executor
    end

    Executor -->|identity & directory| Graph["Microsoft Graph"]
    Executor -->|RBAC & resources| Azure["Azure Management<br/>+ Resource Graph"]

    Graph --> Normalizer["Normalizer & correlation<br/><i>preserves evidence and coverage</i>"]
    Azure --> Normalizer
    Normalizer -->|answer + provenance| Copilot

    style Guard fill:#c62828,color:#fff
    style Server fill:#0B1F3A,color:#fff
    style Normalizer fill:#1565c0,color:#fff

Two details worth highlighting:

The write guard sits before routing, not after. A mutation request is rejected before it can be interpreted as a query.

The normalizer preserves coverage, not just data. Every answer carries where it came from and whether the source could actually be evaluated — which is what makes the no-false-zero rule enforceable rather than aspirational.

How the pieces are distributed

The extension does not replace the Python package — it registers it. The engine runs the same way whether launched by the extension or configured by hand.

Install

Recommended: VS Code extension

Install IdenGraph from the Marketplace, then sign in to Azure:

az login

Open Copilot Chat in agent mode and ask. The extension verifies prerequisites and guides you if anything is missing.

Alternative: manual MCP configuration

Create .vscode/mcp.json:

{
  "servers": {
    "idengraph": {
      "type": "stdio",
      "command": "uvx",
      "args": ["idengraph"],
      "env": { "MOCK_MODE": "false" }
    }
  }
}

Prerequisites

• Python 3.10+
• uv
• Azure CLI with an active session (az login)

Authentication uses DefaultAzureCredential, which reuses your Azure CLI session. There is no API key to manage, and no credential is stored by this project.

Configuration

The Python package defaults to MOCK_MODE=true so that nothing touches a real tenant without explicit intent. The extension sets it to false, since installing it is already that intent.

Permissions

On Azure: Reader on the subscriptions you want to audit.

On Microsoft Graph, delegated permissions vary by question:

Missing a permission only marks the matching area as not evaluated. Everything else keeps working — and the affected area reports why it could not be evaluated.

Privacy

Queried data belongs to your tenant and travels between your machine, Microsoft APIs, and the Copilot model you already use. This project sends nothing to third-party servers and collects no telemetry.

By default, SANITIZE_FOR_LLM=true masks resource names, resource groups, subscription IDs, and IP addresses before content reaches the model.

Development

python -m venv .venv
.venv\Scripts\activate        # Windows
# source .venv/bin/activate   # Linux/macOS
pip install -r requirements.txt
cp .env.example .env
python test_smoke.py

The smoke test runs in mock mode and never touches a tenant.

Repository layout

mcp_server.py                       MCP server and tool registration
services/azure_auth.py              credentials, tokens, caching
services/graph_capabilities.py      capability registry
services/capability_router.py       natural language → capability
services/capability_executor.py     validated read-only execution
services/azure_role_definitions.py  authoritative Azure role name resolution
services/azure_pim.py               resource PIM with confirmed coverage
services/entra_licenses.py          tenant licensing and feature availability
services/data/                      mock data used when MOCK_MODE=true
extension/                          VS Code extension (TypeScript)

The repository also contains a Streamlit portal (app.py + agent.py) used for development and demos. It is not part of the published package, whose surface is the MCP server only:

streamlit run app.py

Known limitations

• Agent Identity detection is heuristic where the directory exposes no dedicated type. Results are labeled as such, never presented as fact.
• Public IP indicates a public address, which does not prove workload exposure.
• Without RoleManagement.Read.All, directory PIM reports as not evaluated rather than empty.
• License posture currently cross-references PIM and Conditional Access. Capabilities still marked not_integrated in the registry are not probed, and deliberately return no verdict.

License

MIT — see LICENSE.