is-it-ai-mcp

Purpose: Determining whether an image's declared origin and content credentials remain verifiable.

Inferred · not functionally tested

Audience: developers and AI assistant users working with image provenance

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

is-it-ai-mcp sits in PulseGate's AI security & guardrails category. Inferred · not functionally tested: It focuses on determining whether an image's declared origin and content credentials remain verifiable. Inferred · not functionally tested: It is built as an open-source project for developers and AI assistant users working with image provenance. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

It is developed by JohannsenLum, and it first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include C2PA reading, credential verification, and image provenance. Basis unknown · not verified: Catalogued interfaces include an MCP server.

Summary written by a language model from the project’s public pages.