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Credal.ai

Credal is an enterprise AI platform that provides a governed MCP (Model Context Protocol) proxy and agent registry, enabling teams to build and deploy AI agents with built-in security, permission controls, and audit logging.

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For agents: Credal is an enterprise AI platform offering a governed MCP proxy and agent registry with permission controls and audit logging for building AI agents.

mcp proxyai agentsagent registryenterprise aiaudit logging

Authority
47 reach 6 · trust 10 · quality 16 · freshness 15
Tier
listed
llms.txt
https://credal.ai/llms.txt
Sections
3
Links
0
Size
1905 bytes
Popularity rank
#706140
Registered
2022-07-23
Country
United States Hosting inference
Hosting country
United States Hosting inference
Country evidence
No published address evidence collected yet
Categories
AI and machine learning · Developer tools · AI agents and MCP
For agents
Documentation: developer or product docs worth reading, nothing to call
Inferred actions
Read documentation About these labels
Audience
business · agents can: read docs · en
First seen
2026-10-19T10:44:36.931Z
Last checked
2026-10-21T12:56:31.478Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T12:56:30.314Z. Cached copy · Source on credal.ai

# Credal.ai

Credal is an enterprise AI platform that provides a governed MCP (Model Context Protocol) proxy and agent registry, enabling teams to build and deploy AI agents with built-in security, permission controls, and audit logging.

## Primary sections

- / — Homepage: overview of the platform, key capabilities, and integrations
- /products/agent-registry — Headless MCP registry for sharing AI skills company-wide
- /products/mcp-platform — Governed MCP proxy connecting enterprise data sources and tools
- /products/agent-builder — Visual agent builder for non-technical teams
- /use-cases — Overview of enterprise AI use cases
- /use-case/sales — AI copilot for revenue teams
- /use-case/support — AI copilot for customer support
- /use-case/engineering — AI copilot for engineering teams
- /use-case/it-operations — AI copilot for IT operations
- /use-case/hr-people — AI copilot for HR teams
- /use-case/legal-security — AI copilot for legal and security teams
- /use-case/platform-tools — AI copilot for platform and tools teams
- /blog — Articles on enterprise AI, agent architecture, security, and MCP
- /case-studies — Customer stories showing real-world outcomes
- /case-studies/checkr — How Checkr improved Salesforce data accuracy from 13% to 86%
- /pricing — Pricing plans for individuals, teams, and enterprises
- /security — Security, compliance, and data governance information (SOC 2, GDPR, CCPA)
- /get-started — Contact and demo request form

## Preferred canonical URL format

- Blog posts: https://credal.ai/blog/{slug}
- Case studies: https://credal.ai/case-studies/{slug}
- Product pages: https://credal.ai/products/{slug}
- Use-case pages: https://credal.ai/use-case/{slug}

## Do not index

- /admin/ — internal blog status dashboard
- /webhooks/ — internal webhook endpoints
- /rebuild-blog-xk9m2p4q7r — internal rebuild trigger

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2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://credal.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
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4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/credal.ai).
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