agentidentityprotocol

Agent Identity Protocol (AIP) is an open-source, zero-trust security layer intended to secure MCP/tool-calls for autonomous agents by issuing/verifying cryptographic agent identity tokens (AATs), enforcing per-tool/per-argument authorization via a policy engine (optionally with human-in-the-loop approval), performing DLP scanning on requests/responses, and writing JSONL audit logs tied to verified identity.

Evaluated Mar 30, 2026 (22d ago)
Homepage ↗ Repo ↗ Security ai-ml security mcp policy-enforcement dlp audit-logging human-in-the-loop zero-trust
⚙ Agent Friendliness
47
/ 100
Can an agent use this?
🔒 Security
62
/ 100
Is it safe for agents?
⚡ Reliability
21
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
45
Documentation
55
Error Messages
--
Auth Simplicity
55
Rate Limits
10

🔒 Security

TLS Enforcement
60
Auth Strength
70
Scope Granularity
85
Dep. Hygiene
40
Secret Handling
50

Conceptually strong: cryptographic verification of an Agent Authentication Token (AAT), runtime policy evaluation per tool/call arguments, revocation list checks, and DLP scanning plus audit logs. However, from the provided README excerpt we cannot confirm operational controls such as strict TLS requirements for all channels, how secrets are managed in code, dependency vulnerability posture, or the exact threat-model coverage for bypass scenarios.

⚡ Reliability

Uptime/SLA
0
Version Stability
35
Breaking Changes
30
Error Recovery
20
AF Security Reliability

Best When

You can place an AIP proxy/sidecar in front of an MCP tool server and you need fine-grained, runtime authorization plus DLP and audit logging for agent tool-calls.

Avoid When

You cannot reliably route all sensitive agent actions through the AIP proxy (bypass paths would reduce value), or you need mature, clearly documented rate limiting, operational SLAs, and production hardening details that are not evident from the provided README excerpt.

Use Cases

  • Securing MCP tool servers used by LLM desktop clients (Cursor/Claude/VSC) with policy-based allow/deny and argument validation
  • Enforcing human-in-the-loop approvals for sensitive agent actions (e.g., write or exec operations)
  • Adding DLP scanning and audit logging to agent tool-calls for compliance and forensic readiness
  • Providing an identity/authn layer for agents so audit trails distinguish agent actions from human actions

Not For

  • A turnkey hosted SaaS IAM system (the README indicates local proxy and self-hosting-style usage)
  • General-purpose authorization for arbitrary non-tool traffic (its focus is tool-call mediation in the MCP/proxy path)
  • Situations requiring a fully specified, production-ready protocol/SDK and operational guarantees without verification from the spec/implementation

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

Methods: Agent Authentication Token (AAT) verification via AIP registry public key Policy-based enforcement at tool-call layer (claims + signature + revocation list)
OAuth: No Scopes: No

The README describes an AAT issued by a token issuer and verified by an AIP registry, with claims checked against policy and revocation checked at runtime. It does not describe OAuth flows or explicit scope naming in the excerpt.

Pricing

Free tier: No
Requires CC: No

Appears to be an open-source/self-hosted project; no pricing information in the provided content.

Agent Metadata

Pagination
none
Idempotent
False
Retry Guidance
Not documented

Known Gotchas

  • If agent actions can bypass the proxy/tool-call mediation path, AIP enforcement may not apply
  • Policy and DLP configuration quality directly affects safety; overly permissive allowlists reduce protection
  • Human-in-the-loop flows can block or delay automated execution if not handled by the agent/client UX

Alternatives

Full Evaluation Report

Comprehensive deep-dive: security analysis, reliability audit, agent experience review, cost modeling, competitive positioning, and improvement roadmap for agentidentityprotocol.

AI-powered analysis · PDF + markdown · Delivered within 30 minutes

$99

Package Brief

Quick verdict, integration guide, cost projections, gotchas with workarounds, and alternatives comparison.

Delivered within 10 minutes

$3

Score Monitoring

Get alerted when this package's AF, security, or reliability scores change significantly. Stay ahead of regressions.

Continuous monitoring

$3/mo

Scores are editorial opinions as of 2026-03-30.

8642
Packages Evaluated
17761
Need Evaluation
586
Need Re-evaluation
Community Powered