INDIVIDUAL MCP TOOL
assess_applied_invariant_fit
Assess whether Applied Invariant can plausibly help a company become agent-ready.
LIVE ENDPOINT
https://www.appliedinvariant.com/mcp
Connect to this endpoint to inspect the live schema for assess_applied_invariant_fit and invoke it with your own arguments.
Indexed input schema
{}Risk classification
Inferred read-only · medium confidence · heuristic, not a guarantee.
- No write-capable action terms were found; this is not proof that invocation has no side effects.
Parent server
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.com-appliedinvariant-company-ai-fit]
url = "https://www.appliedinvariant.com/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"com-appliedinvariant-company-ai-fit": {
"type": "http",
"url": "https://www.appliedinvariant.com/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: com-appliedinvariant-company-ai-fit
Remote MCP URL: https://www.appliedinvariant.com/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": {
"com-appliedinvariant-company-ai-fit": {
"url": "https://www.appliedinvariant.com/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"com-appliedinvariant-company-ai-fit": {
"type": "http",
"url": "https://www.appliedinvariant.com/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "com-appliedinvariant-company-ai-fit",
"transport": "streamable-http",
"url": "https://www.appliedinvariant.com/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
Related tools
get_service_model— Return Applied Invariant's founders, agent-readiness definition, delivery stages, ideal-client profile, commercial structure, privacy approach, client ownership model, and canonical demo URL.estimate_context_efficiency— Estimate possible input-token reduction when broad repeated context is replaced by smaller task-specific retrieved context.