Security & Testing

afmr.ai

Provides access to AFMR specifications, failure mode lookup, and attestation/lifecycle contracts for security and trust verification.

2 endpoints8 known toolsFirst detected July 31, 2026Last detected July 31, 2026

ENDPOINT 1

https://afmr.ai/api/rpc

No auth detected

MCP server metadata

Name: ai.afmr/discovery
Version: 1.0.0

Capabilities

resourcestools

Server instructions

Use this read-only server to discover AFMR 1.0 failure modes, reputation-attestation contracts, and configuration-scoped Lift Evidence artifacts. AFMR records are scoped to named evidence, configuration, governance process, and lifecycle state. They are not unqualified universal safety claims.

Known tools 4

discover_afmr

Return canonical AFMR specifications, registries, schemas, endpoints, and scope boundaries.

Inferred read-only

lookup_failure_mode

Find exact AFMR 1.

Inferred read-only

get_reputation_attestation_contract

Return the portable attestation, trust-profile, verifier-result, endpoint-registry, and lifecycle contracts.

Inferred read-only

get_lift_evidence_contract

Return the stable configuration-scoped public-card schema and empty public index; no results are asserted.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.ai-afmr-discovery]
url = "https://afmr.ai/api/rpc"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "ai-afmr-discovery": {
      "type": "http",
      "url": "https://afmr.ai/api/rpc"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-afmr-discovery
Remote MCP URL: https://afmr.ai/api/rpc

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "ai-afmr-discovery": {
      "url": "https://afmr.ai/api/rpc"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "ai-afmr-discovery": {
      "type": "http",
      "url": "https://afmr.ai/api/rpc"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "ai-afmr-discovery",
  "transport": "streamable-http",
  "url": "https://afmr.ai/api/rpc"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

ENDPOINT 2

https://afmr.ai/mcp

No auth detected

MCP server metadata

Name: ai.afmr/discovery
Version: 1.0.0

Capabilities

resourcestools

Server instructions

Known tools 4

discover_afmr

Return canonical AFMR specifications, registries, schemas, endpoints, and scope boundaries.

Inferred read-only

lookup_failure_mode

Find exact AFMR 1.

Inferred read-only

get_reputation_attestation_contract

Return the portable attestation, trust-profile, verifier-result, endpoint-registry, and lifecycle contracts.

Inferred read-only

get_lift_evidence_contract

Return the stable configuration-scoped public-card schema and empty public index; no results are asserted.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.ai-afmr-discovery]
url = "https://afmr.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "ai-afmr-discovery": {
      "type": "http",
      "url": "https://afmr.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: ai-afmr-discovery
Remote MCP URL: https://afmr.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "ai-afmr-discovery": {
      "url": "https://afmr.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "ai-afmr-discovery": {
      "type": "http",
      "url": "https://afmr.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "ai-afmr-discovery",
  "transport": "streamable-http",
  "url": "https://afmr.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for afmr.ai was fetched 2026-08-01T04:20:03.902Z and is being refreshed.

Trust status Neutral

afmr.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.