The governance control plane for agentic AI
Govern every AI agent your organization runs — discover, verify, and approve the capabilities that power them, and control the tools, credentials, and actions of agents built on any platform.
The problem enterprises face with agentic AI
As AI agents move from experimentation to production, the risks compound. Unverified tools enter workflows without review. Permissions are unclear. Agent capabilities spread across teams without central oversight. Shadow agent workflows emerge outside sanctioned tooling.
mAIndala gives enterprises one trusted place to discover, evaluate, assemble, and govern the capabilities that power AI agents — with the controls your security, platform, and compliance teams require.
Trust at the center of agentic AI
mAIndala brings structure to the agent ecosystem so your teams can act with confidence.
Honest signal on every listing
Every MCP service, Skill, and Agent carries an automated trust status — Verified, Partial, or not yet scanned. When something hasn't been reviewed, we label it Unrated rather than inventing a score. Skills and Agents show the author or group that published them, and community ratings appear where real reviews exist.
Permission transparency
Know exactly what every agent capability can access before it reaches production. No surprises at runtime.
Approval workflows
Gate what enters your private catalog with multi-step approval and governed publish flows — from group-private to unlisted to public.
Governance-ready catalogs
Create a curated, private catalog of approved MCP services, Skills, and Agents that your teams can use — and nothing else.
Govern every agent — including the ones you didn’t build here
AI agents are multiplying across LangGraph, CrewAI, Microsoft Copilot Studio, OpenAI, Bedrock, and in-house apps — most of them outside any central oversight. mAIndala governs them all at the boundaries every agent has to cross: the tools it touches, the credentials it acts with, the definition it runs, and the activity it produces.
Register & inventory
Build a single registry of every AI agent operating in your organization — including agents built on third-party platforms. Each one gets an Agent Bill of Materials: what it is, what it can touch, and how risky it is.
Find what nobody registered
Not every agent goes through that registration flow. The maindala CLI's scan command finds agents already running in your repos and CI, before anyone registers them by hand — and once discovered, a scheduled sweep watches for anomalous behavior (unexpected data volume, off-hours activity, repeated denials) and can automatically and temporarily suspend an agent pending review, if your org opts in. Nothing is blocked by default.
Risk-scan & certify
Automatically scan any agent's definition for security and prompt-safety risks with OWASP-aligned checks, an approve/block workflow, and alerts when an approved agent later changes.
Control tools & data
External agents reach your tools and data only through a policy-controlled gateway. Set allow/deny rules per tool, add rate limits, time-of-day windows, and data-loss-prevention redaction — with a full audit trail of every call.
Broker credentials & kill-switch
Agents act with scoped, short-lived credentials from an encrypted vault — they never hold your long-lived secrets. Revoke access instantly with a one-click kill-switch.
Designed to govern agents from LangChain, LangGraph, CrewAI, n8n, Microsoft Copilot Studio, OpenAI, AWS Bedrock, Google Vertex — and your own in-house apps.
Governance that starts before the first call
Because mAIndala is also the registry and the credential vault — not only a policy gateway — governance applies at three points, not one, and holds for agents on any model vendor.
Approval time
Nothing enters your catalog without a trust scan and an approval workflow — before any team member or agent can reach it.
Install time
Only vetted, approved capabilities are ever available to install or connect — private catalogs enforce it by default.
Call time
Every tool call is routed through the policy gateway, checked, audited, and revocable — on any AI model vendor.
Built for every team involved in agentic AI
For enterprises
Build a private, governed ecosystem of trusted MCP services, Skills, and Agents. Control what enters your catalog, who can publish, and how capabilities are approved.
For security & governance teams
Control which tools agents can use, reduce agent sprawl, and improve visibility into the capabilities running across your organization.
For platform teams
Create a standard catalog of approved agent capabilities. One Group API key gives every team member scoped access to the approved stack — no individual installs, no shadow tooling.
For AI builders inside your org
Find the verified services, Skills, and agent blueprints approved for your environment. Build faster without stepping outside your organization's trust boundary.
What enterprises get
Everything in Teams and Business, plus the governance controls that enterprise deployments require.
- Private catalog — MCP services, Skills, and Agents visible only to your group
- Organization-scoped credentials for LLM and cloud deployment
- Usage metering and cost attribution by user, group, and model
- OIDC SSO with JIT provisioning for your identity provider
- Governed publish flows with multi-step approval and audit log
- Org-level member authoring policy controls
- Shared org credentials so any member can deploy with org-funded infra
- A2A (Agent-to-Agent) inter-agent calls within your trusted catalog
- External agent governance — inventory, risk-scan, and approve agents built on any platform
- Policy-controlled tool gateway with allow/deny rules, full audit trail, and instant kill-switch
- Guardrails for external agents — rate limits, time-of-day windows, and DLP redaction
- Model-selection decisions recorded as evidence — which models were compared, on identical input, at what cost, with what verdict
See full plan comparison → or how we compare to AI governance platforms and gateways.
Become a design partner
We’re onboarding a small number of design partners for a 6-week governance pilot: white-glove onboarding, the full governance control plane — inventory, risk-scanning, policy gateway, credential vault, audit export — at no charge, with pricing discussed directly and separately if it becomes a longer-term partnership. We ask for a real environment with 2–4 agents to govern and a weekly 30-minute working session.
Ready to bring governance to your agent ecosystem?
Create your organization and start with a free trial, or talk to us about your requirements. We will walk you through how mAIndala can be your trusted control layer for agentic AI.