AI / agent gateway
mAIndala vs Gravitee
Gravitee and mAIndala both govern how AI agents operate, but at different points in the agent’s lifecycle. Gravitee is a mature runtime gateway: it sits in the path of LLM, MCP, and agent-to-agent traffic and applies policy to every call. mAIndala governs the agent earlier and more broadly — attesting its definition before the first call, brokering the credentials it acts with, and exporting a verifiable record of what happened, on any model vendor.
What Gravitee does well
- One unified AI Gateway across three protocols — LLM Proxy (Anthropic, Bedrock, OpenAI, Gemini, Vertex), MCP Proxy (JSON-RPC 2.0 tool discovery and invocation), and A2A Proxy (agent-to-agent delegation with actor-aware token exchange) — replacing separate credential systems and duplicate policy engines.
- Agentic IAM: agent identity for every actor class, OAuth 2.1 with PKCE for short-lived scoped tokens, and a technical-preview OpenFGA integration for relationship-based fine-grained authorization, so no shared API key stands in for real authorization.
- A single registry spanning models, MCP servers, tools, skills, resources, prompts, and agents, plus a way to turn an organization’s own REST APIs and Kafka streams into agent-ready tools.
- OpenTelemetry traces enriched with agent identity, tool usage, policy decisions, cost data, and timestamps, giving connected observability across LLM, MCP, and A2A traffic in one place.
- GA, enterprise-deployed: customers including J.P. Morgan, Roche, Accenture, and EY, with published testimonials from Tealium and RATP Group.
How mAIndala is different
Attestation before the first call, not only governance of the call
Gravitee’s registry catalogs models, MCP servers, and agents, but governs them through the gateway at call time. mAIndala runs an automated, OWASP-aligned scan of an agent or tool’s definition before it enters a catalog, assigns a Verified, Partial, or Unrated status, and alerts if an approved definition later changes — attestation ahead of any traffic, not only policy applied to it.
Evidence you hand over, not evidence you query
Gravitee’s OpenTelemetry traces are rich and real-time, built for an operator watching their own dashboards. mAIndala’s governance record exports as a signed, independently timestamped file a third party verifies offline — no mAIndala account, no access to a live tracing backend required.
Governance that starts at approval, not only at the gateway
Because mAIndala is also the registry and the credential vault, policy applies at approval time (before a capability enters a catalog), install time (only vetted capabilities are available to connect), and call time (the gateway itself) — three checkpoints instead of one.
An open, cross-vendor supply of vetted capabilities
Gravitee’s registry is built from an organization’s own APIs, Kafka streams, and connected model providers. mAIndala adds an open catalog of MCP services, Skills, and Agents that any organization can draw from, each carrying the same trust status used for governance.
Side by side
| Dimension | mAIndala | Gravitee |
|---|---|---|
| What gets governed | An agent’s definition, the credentials it acts with, the tools it reaches, and the record it leaves. | LLM, MCP, and agent-to-agent (A2A) traffic, governed as it passes through the gateway.[1] |
| Definition-level attestation | Automated, OWASP-aligned scan producing a Verified, Partial, or Unrated status before a capability enters a catalog, plus drift alerts if an approved definition later changes. | Not described as an attestation or approval-scoring workflow in public documentation (reviewed 2026-08-25) — the registry catalogs models, MCP servers, and agents for discovery and traffic control.[2] |
| Identity and credentials | Agents act with scoped, short-lived credentials issued from an encrypted vault, with an instant kill-switch. | Agent identity for every actor class, OAuth 2.1 with PKCE for short-lived scoped access tokens, and a technical-preview OpenFGA integration for relationship-based fine-grained authorization — not yet production-ready.[4] |
| Where evidence lives | Exports as a signed, RFC 3161-timestamped file, verified offline by a third party without a mAIndala account or platform access. | OpenTelemetry traces enriched with agent identity, tool usage, policy decisions, cost data, and timestamps, viewed through the operator’s own observability stack.[1] |
| Enforcement in the call path | A policy-controlled tool gateway: allow/deny per tool, rate limits, time-of-day windows, and DLP redaction. | Method-level ACLs on MCP tool calls, tool-invocation throttling, and fine-grained resource authorization inherited from existing API-management policy — rate limiting, logging, threat protection.[3] |
| Capability supply | An open catalog of MCP services, Skills, and Agents any organization can draw from. | A registry built from an organization’s own connected models, APIs, and Kafka streams turned into agent-ready tools.[2] |
| Model selection | Choosing the model an agent runs on produces a record: the same agent run on several models against a byte-identical input, with each model’s cost, latency, token usage, and output-safety findings, and the verdict that followed — exported in the signed, independently timestamped evidence pack. | Model routing is listed as an LLM Proxy policy alongside PII filtering, prompt guardrails, and token rate limiting, with no public detail on how a routing decision is made or logged — not a side-by-side comparison or an exportable record of a model-selection decision.[1] |
When Gravitee is the better choice
- You already run Gravitee for API and event-stream management and want to extend the same control plane to LLM, MCP, and A2A traffic without adding a new vendor.
- Protocol-level proxying with rich, real-time OpenTelemetry tracing across LLM, MCP, and A2A traffic is your primary requirement, at high volume.
- Your identity model already centers on fine-grained, OpenFGA-style authorization for agent-to-agent delegation, and you want the gateway to enforce it directly.
When mAIndala is the better choice
- You need attestation before an agent or tool is ever called — a scan, a trust status, and drift alerts on the definition itself, not only policy on the traffic it produces.
- An external auditor needs to verify your governance record independently, without live access to a tracing or observability backend.
- You need an open, vetted catalog of MCP capabilities to build with, not only a registry of your own internal APIs and connected models.
Using both together
These pair well rather than compete: the Verified/Trust signal mAIndala produces at approval time can feed Gravitee’s gateway policy decisions at call time, so a capability that failed attestation never reaches Gravitee’s traffic layer in the first place.
Sources
- Gravitee — AI Gateway — accessed 2026-08-25 (reference 1)
- Gravitee — AI Agent Management — accessed 2026-08-25 (reference 2)
- Gravitee — MCP: The Complete Guide to MCP Support — accessed 2026-08-25 (reference 3)
- Gravitee Documentation — OpenFGA Authorization Engine — accessed 2026-08-26 (reference 4)
Comparison last reviewed August 26, 2026 against publicly available information. See something out of date or inaccurate? Let us know.
Gravitee and any other product or company names mentioned are trademarks of their respective owners. mAIndala is not affiliated with, endorsed by, or sponsored by Gravitee.
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