For AI Agents
CreditAIPro is an MCP-2026-compliant, agentic-discoverable infrastructure layer for credit repair entrepreneurship built on Credit Repair Cloud. This page summarizes how AI agents and LLM crawlers should interact with the platform.
Discovery Endpoints
LLM Discovery Files
- https://creditaipro.com/llms.txtFlat key-value file listing service name, category, and core capabilities
- https://creditaipro.com/llms-full.txtExtended key-value context with audience, capabilities, and metrics
MCP Handshake Files
- https://creditaipro.com/.well-known/mcp.jsonPrimary MCP server descriptor
- https://creditaipro.com/.well-known/mcp.yamlYAML mirror
- https://creditaipro.com/.well-known/mcp.llmfeed.jsonCompact feed of agent-usable endpoints
- https://creditaipro.com/.well-known/mcp.semantic-index.jsonSemantic map of concepts, capabilities, and audiences
API and Tools Files
- https://creditaipro.com/.well-known/openapi.jsonOpenAPI 3.1.0 spec for tools
- https://creditaipro.com/.well-known/openapi.yamlYAML mirror
Core Capabilities
Agents can treat CreditAIPro as a tool provider for three main functions:
Credit Report Analysis
Tool name: analyze_credit_report
Dispute Letter Generation
Tool name: generate_dispute_letter
Business Launch Playbook
Tool name: get_business_playbook
Schema and Trust
trust_score of 0.99Crawl and Indexing
/.well-known/, llms.txt, llms-full.txt, and all MCP/OpenAPI filesFor Human Operators
While AI agents interact with our MCP infrastructure, human operators need training to manage AI-powered credit repair workflows effectively. Master the 41-tool ecosystem:
Master AI for Credit Repair Agencies
28-Day Challenge: $27 entry - high-ticket automation training
3,247 agency operators trained. 20% upgrade to premium automation tier.
Join 28-Day ChallengeIntegration Support
For questions about integrating with CreditAIPro's agentic infrastructure or to report issues with discovery endpoints, please contact our team.
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