Lokka
Bring Microsoft Graph to AI agents like Copilot and Claude
A solid free option for M365 admins who want to query Graph data via natural language. Limited to desktop-only and single-user scenarios, but zero cost makes it a low-risk try.
- Microsoft 365 administrators needing quick Graph queries via AI
- IT pros managing M365 environments from a desktop
- Developers building AI-powered M365 tools
- Security analysts wanting rapid audit log searches
- Non-Microsoft 365 users
- Users seeking multi-cloud support
- Users needing cloud-hosted deployment
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In short
Lokka — Bring Microsoft Graph to AI agents like Copilot and Claude. Best for Microsoft 365 administrators needing quick Graph queries via AI, IT pros managing M365 environments from a desktop, Developers building AI-powered M365 tools. Free to use.
Viability Score
How likely is Lokka to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Query Microsoft 365 data via natural language
- Connect AI agents to Microsoft Graph
- Manage users, groups, and devices
- Retrieve audit logs and reports
- Automate administrative tasks
- Runs locally on desktop for security
- Integration with GitHub Copilot
- Integration with Claude
- Implements Model Context Protocol (MCP)
- Free to use with no paid tiers
About Lokka
Lokka is a free desktop tool that connects AI agents such as GitHub Copilot and Claude to Microsoft Graph and Microsoft 365 services. Built for Microsoft 365 administrators and developers, it runs locally on your desktop, allowing AI agents to query and manage M365 data securely. Lokka implements the Model Context Protocol (MCP) to provide a standardized interface for AI agents to interact with Microsoft Graph APIs. It simplifies administration tasks, automates workflows, and provides insights into your Microsoft 365 environment—all without sending data to the cloud. What makes Lokka different is its laser focus on bridging AI assistants with enterprise M365 environments, offering a free, desktop-first solution. While it lacks advanced multi-cloud support or collaborative features, it's a practical tool for IT pros wanting to experiment with AI-driven M365 management.
Behind the Verdict
Lokka fills a specific niche: M365 admins who wish they could ask 'list all inactive users' in plain English and get a fast answer from their AI code editor. It works by exposing Microsoft Graph APIs through the Model Context Protocol, so GitHub Copilot and Claude can call them directly. Setup is minimal—just a desktop app that runs locally, which is both a strength (data stays on-prem) and a weakness (no cloud-hosted option for teams). In practice, Lokka handles common Graph queries well: user management, group membership, device inventory, audit log retrieval. You can ask 'show me sign-in errors from last 24 hours' and get a formatted response. Where it falls short is advanced scenarios—bulk updates, complex filtering, or multi-tenant environments aren't straightforward. There's no collaboration; it's a single-user tool. Compared to alternatives like Graph X-Ray (a permissions explorer) or Maester (a testing framework), Lokka is more about direct interaction via AI agents rather than deep admin. We'd recommend it for quick investigative queries or learning Graph APIs by example. But if you need scheduled automation or team-wide access, look at PowerShell scripts or Azure Automation instead.
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Use Cases
- Query Microsoft 365 user properties using natural language
- List recent sign-in failures from your tenant via AI agent
- Automate group membership changes with a single command
- Retrieve device compliance status for your M365 environment
- Generate usage reports for Microsoft 365 services
Limitations
- As of the available evidence, Lokka does not have any documented limitations such as rate limits or context windows.
- The tool is early-stage with minimal public documentation, so users may encounter instability or missing features.
- Pricing is free, but there is no information on any paid tiers or usage caps.
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