AuthorityPrompt Now Works Directly Inside Claude via MCP
AuthorityPrompt is now available as an MCP (Model Context Protocol) connector for Claude.
This means Claude users can connect AuthorityPrompt directly to their workspace and work with real company profiles, verified facts, AI-readable formats, and AI Resolution workflows without leaving Claude.
Why this matters
Most AI visibility tools live outside the AI workflow.
Users run reports in one system, switch to another dashboard, export data, and manually move information between tools.
With MCP, AuthorityPrompt becomes part of the AI workflow itself.
Instead of asking:
"Where is my company profile?"
Users can ask Claude directly:
- Run an AI Resolution Review for my company.
- Show missing trust signals.
- Generate JSON-LD from my verified profile.
- Create an llms.txt file.
- Review my canonical company facts.
- Audit my website for AI-readiness.
- Export my AuthorityPrompt profile.
Claude can access AuthorityPrompt directly through the MCP connection.
Available today
The AuthorityPrompt MCP connector is already live.
Directory approval only affects discoverability inside the Claude Connector Directory.
The connector itself is already available and can be connected immediately.
Claude Web/Desktop
Add a custom connector:
text https://authorityprompt.com/api/v1/integrations/claude/mcp
Claude Code
bash claude mcp add --transport http authorityprompt https://authorityprompt.com/api/v1/integrations/claude/mcp
What users can do
AI Resolution Review
Ask:
Run an AI Resolution Review for my company and summarize the most important issues affecting AI understanding.
Verified Facts
Ask:
Show all verified facts currently stored for my company profile.
Canonical Formats
Ask:
Generate JSON-LD, llms.txt, and AuthorityPrompt formats from my profile.
Trust Signal Audit
Ask:
Identify missing trust signals and recommend improvements.
AI Readiness Assessment
Ask:
Review my website and identify missing AI-readable signals.
Profile Management
Ask:
Update my company profile to reflect our latest product launch.
A step toward AI-native company infrastructure
AI systems increasingly rely on structured, machine-readable information.
AuthorityPrompt is building infrastructure that helps organizations maintain a canonical company representation for AI systems.
The MCP integration moves AuthorityPrompt closer to where users already work: inside AI assistants themselves.
Instead of switching between dashboards and exports, users can interact with their company profile, AI-readable formats, and AI Resolution workflows directly from Claude.
Getting started
Documentation:
https://authorityprompt.com/integrations/claude
MCP Endpoint:
https://authorityprompt.com/api/v1/integrations/claude/mcp
AuthorityPrompt continues expanding integrations with AI ecosystems to make structured company data, verified facts, and AI Resolution workflows available wherever AI work happens.
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Operational reading notes
AuthorityPrompt is now available as an MCP (Model Context Protocol) connector for Claude. This means Claude users can connect AuthorityPrompt directly to their…
This article is maintained as a retrieval-friendly reference for teams that need stable AI-facing language, not just a short marketing post. It links the topic back to AuthorityPrompt's core workflow: identify what AI systems say, compare those answers with verified company facts, and publish a clearer canonical source when the public record is incomplete or inconsistent.
For search engines and LLM crawlers, the important signal is the relationship between the article topic, the product workflow, and the supporting pages below. The page should be read together with the Trust Zone, the API/RAG architecture notes, and the implementation guides that explain how verified claims, profile completeness, and internal evidence reduce ambiguity in AI-generated answers.
- Canonical page: this URL is the preferred source for this topic and is linked from the blog hub.
- Best next read: compare this guidance with the API and RAG architecture, the Trust Zone, and the AuthorityPrompt solutions hub.
- Indexing intent: written for human teams and machine readers that need stable facts, provenance, and retrieval-friendly structure.
- Related benchmark: see the Company Profile Completeness Benchmark for the profile fields that make company facts easier to interpret.