AI & Machine Learning
insureai.app
Provides tools for listing insurance AI use cases, mapping EU AI Act evidence requirements, and routing compliance evidence to canonical VOS records for human-review governance.
ENDPOINT 1
https://insureai.app/mcp
MCP server metadata
- Name
- InsureAI MCP Vertical Adapter
- Version
- 1.0.0
Known tools 4
insureai_list_use_casesList supported insurance AI use cases, risk classifications, and evidence requirements.
Inferred read-onlyinsureai_get_adverse_templateGet adverse decision evidence packet template for EU AI Act Article 14 human review.
Inferred read-onlyinsureai_map_evidence_reqsMap insurance AI system obligations to required VOS evidence record types.
Inferred read-onlyinsureai_route_to_vos_recordPrepare routing payload for canonical VOS evidence record creation.
Inferred read-onlyCONNECT 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.insureai-mcp-vertical-adapter]
url = "https://insureai.app/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"insureai-mcp-vertical-adapter": {
"type": "http",
"url": "https://insureai.app/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: insureai-mcp-vertical-adapter
Remote MCP URL: https://insureai.app/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": {
"insureai-mcp-vertical-adapter": {
"url": "https://insureai.app/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"insureai-mcp-vertical-adapter": {
"type": "http",
"url": "https://insureai.app/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "insureai-mcp-vertical-adapter",
"transport": "streamable-http",
"url": "https://insureai.app/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 2
https://mcp.insureai.app/mcp
MCP server metadata
- Name
- InsureAI MCP Vertical Adapter
- Version
- 1.0.0
Known tools 4
insureai_list_use_casesList supported insurance AI use cases, risk classifications, and evidence requirements.
Inferred read-onlyinsureai_get_adverse_templateGet adverse decision evidence packet template for EU AI Act Article 14 human review.
Inferred read-onlyinsureai_map_evidence_reqsMap insurance AI system obligations to required VOS evidence record types.
Inferred read-onlyinsureai_route_to_vos_recordPrepare routing payload for canonical VOS evidence record creation.
Inferred read-onlyCONNECT 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.insureai-mcp-vertical-adapter]
url = "https://mcp.insureai.app/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"insureai-mcp-vertical-adapter": {
"type": "http",
"url": "https://mcp.insureai.app/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: insureai-mcp-vertical-adapter
Remote MCP URL: https://mcp.insureai.app/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": {
"insureai-mcp-vertical-adapter": {
"url": "https://mcp.insureai.app/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"insureai-mcp-vertical-adapter": {
"type": "http",
"url": "https://mcp.insureai.app/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "insureai-mcp-vertical-adapter",
"transport": "streamable-http",
"url": "https://mcp.insureai.app/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.