smithery Safe content atomic mcp-remote

Facticity AI

Real-time, multi-modal fact-checking for AI systems. Facticity AI verifies claims across text, audio, and video using trusted sources, helping agents and applications reduce hallucinations and improve reliability in production environments. Powered by a combination of large language models and retrieval-augmented generation (RAG), Facticity performs structured claim extraction, evidence retrieval, and source ranking to deliver fast, transparent verification results. Recognized as one of Time’s Best Inventions of 2024, Facticity AI has been used in high-stakes scenarios including near real-time fact-checking of live events. Built for MCP-compatible workflows, it enables seamless integration of truth validation into AI agents, developer tools, and enterprise systems—bringing verifiable intelligence directly into your stack.

Cognium trust score
50%
Tier
Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
media
Source
Smithery
Author type
human
Updated
2026-05-11
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Use via MCP

MCP

Resolve Facticity AI from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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