mAIndala

The Operating System for Agentic Intelligence

mAIndala is the trust & governance control plane for agentic AI. We maintain a verified catalog of MCP services, Skills, and Agents — then give organizations one place to govern the tools, credentials, and actions of every agent they run, including agents built on other platforms.

Our Mission

The shift from AI assistants to AI agents is not incremental — it is architectural. Agents need to act: browse the web, call APIs, read and write files, coordinate with other agents, and do so reliably across thousands of services. The bottleneck is no longer model capability. It is infrastructure.

As agents move from experimentation to production, a second challenge emerges: trust. Enterprises and individuals alike need to know that the Skills they install, the Agents they deploy, and the MCP services they connect carry no hidden risks. mAIndala addresses this directly — every item in the catalog is analyzed for security, rated by the community, and governed by a transparent publish process.

mAIndala exists to build the complete stack: a universal catalog of MCP-compatible services, a library of verified Skills, an expanding roster of deployable Agents, and the infrastructure to create, curate, and deploy all of them — from a private team environment to a live cloud endpoint.

One control plane for every agent

mAIndala governs agents at the boundaries every agent has to cross — no matter where the agent was built: LangGraph, CrewAI, Copilot Studio, Bedrock, in-house, or on mAIndala itself.

Inventory

Build a single registry of every agent operating in your organization, each with an Agent Bill of Materials: what it is, what it can touch, and how risky it is.

Verify

Risk-scan agent and capability definitions with OWASP-aligned checks, approve or block, and get alerted when an approved agent later changes.

Control

Route agent tool and data access through a policy gateway with allow/deny rules, rate limits, time-of-day windows, and DLP redaction — every call audited.

Broker & revoke

Agents act with scoped, short-lived credentials from an encrypted vault and never hold long-lived secrets. Revoke access instantly with a one-click kill-switch.

What We Offer

What Makes mAIndala Different

Other platforms list MCP servers. mAIndala is the full lifecycle — from creation and verification to curation and cloud deployment.

mAIndala Verified

Every Skill, Agent, and MCP service in the catalog is automatically analyzed for security before it reaches users. Items receive a Verified, Partial, or Unverified badge based on objective criteria aligned with OWASP Agentic AI security principles. No other MCP catalog does this at scale.

Private Catalog for Teams

Create Skills and Agents visible only to your group, add private MCP server URLs, and control who can publish to the broader catalog. A built-in publish flywheel takes content from group-private → unlisted → public, with governance gates at each step.

Bring Your Own LLM

Deploy to Google Cloud Run today. Use Anthropic, OpenAI, Google Gemini, or xAI. mAIndala does not lock you into a specific model provider — bring your credentials, we provide the runtime.

AI Agent Builder

Describe what you want an agent to do in plain language. The platform searches the real catalog for matching Skills and MCP services and assembles a complete deployable agent — nodes, routing logic, and execution configuration included. No manual wiring required.

Run Locally, Free

Any agent in the catalog runs on your laptop with one command: npx maindala run agent/<slug>. The agent starts in Docker with your own LLM API key. No cloud account, no subscription. Explore and test before you commit to cloud deployment.

The Problem We Are Solving

The agentic era is arriving faster than the infrastructure supporting it. Three structural gaps are holding it back.

AI tools are fragmented

Thousands of AI-capable services exist across every domain — but they speak different protocols, expose incompatible interfaces, and have no common way to be discovered. Builders waste months integrating tools that should take hours.

Agents cannot coordinate reliably

Multi-agent workflows require agents to find each other, negotiate capabilities, and chain work across service boundaries. Without a shared registry and a standard protocol, coordination collapses into brittle, hand-rolled glue code.

Enterprises lack a trusted, governed AI catalog

As AI agents begin taking real actions — writing code, calling APIs, managing data — enterprises need to know which tools they can trust, with what permissions, and under what governance. A shared, verified catalog of AI capabilities is now critical infrastructure.

How mAIndala Helps

mAIndala is the connective tissue between agents and the services they need. We provide:

  • Universal discoveryA searchable, filterable catalog of 2,500+ MCP-compatible services — queryable by capability, category, auth method, transport, and rating.
  • mAIndala VerifiedAutomated security analysis gives every Skill, Agent, and MCP service a trust rating before it reaches users. Community ratings, reviews, and a transparent publish process add additional signal.
  • Skills libraryA growing collection of community-authored and mAIndala-verified prompt packages that encode domain expertise. Install a Skill to unlock its prompts in any AI environment.
  • Agents catalogReady-to-deploy multi-step agent blueprints. Each Agent bundles Skills, routing logic, and cloud configuration — deploy to a live endpoint or run locally in Docker with a single CLI command.
  • Private CatalogGroups and enterprises curate vetted, private collections of Skills, Agents, and MCP services. One Group API key gives agents scoped access to the approved stack — no individual installs required.
  • Cloud DeploymentAny Agent deploys to a live HTTPS endpoint in under 60 seconds. Bring your own cloud and LLM credentials — mAIndala provides the runtime, orchestration, and activity monitoring.
  • Agent-native APIAn MCP Gateway agents can connect to at inference time — discover services, install Skills, and deploy Agents programmatically without human intervention.
  • Open platformAny service provider can list their MCP server. Any developer can publish a Skill or Agent. The catalog auto-indexes from public registries and surfaces new entries immediately.

Data Sources & Attribution

The mAIndala catalog is built on open data and community-contributed listings. Auto-indexed entries are sourced from the following open registries, used in accordance with their respective licenses:

punkpeye/awesome-mcp-servers

Community-curated list of MCP servers, maintained by Frank Fiegel.

MIT
modelcontextprotocol/servers

Official reference implementations and registry maintained by the MCP steering group under LF Projects.

Apache 2.0

Community-submitted services are provided by their respective owners. If you are a service owner and would like to update or remove your listing, please use the community forum or contact us directly.

Govern, curate, and deploy — on your terms

Whether you are governing agents across your organization, curating a private team catalog, or building and deploying agents yourself — mAIndala is your starting point.