Sidearm MCP Server

List available algorithms for media protection, watermarking, and AI content disruption. Returns algorithm IDs, names, supported media types, and descriptions. Use this to discover valid algorithm IDs before calling run_algorithm. Filter by category (open = research algorithms, proprietary = Sidearm bundles) or media_type (image, video, audio, text, pdf, gif).

Run one or more named algorithms on media. Provide algorithm IDs (from list_algorithms) and either a public media_url or base64-encoded media content. For text, use the text param. Returns a job_id for async processing — use check_job to poll for results. Requires credits.

Protect media using a curated preset level. Automatically selects the best combination of algorithms for the given media type. Simpler than run_algorithm — just specify standard or maximum protection. Provide either a public media_url, base64 media, or text content. Returns a job_id — use check_job to poll for results.

Check the status of an asynchronous job (from run_algorithm, protect_media, or detect_ai). Returns status (queued, processing, completed, failed), progress percentage, and result data including download URLs when complete.

Search for similar or matching media across the indexed library. Provide a media_url or base64 media to find matches. Tiers: exact (hash match), quick (perceptual hash), perceptual (visual similarity), compositional (scene structure), full (all tiers). Returns results immediately.

List previous similarity searches performed on your account. Returns a paginated list of past search queries with timestamps and result counts.

Detect whether media content was generated by AI. Supports images, video, audio, and text/PDF. Runs multiple specialized detection models in parallel for the given media type. Returns a job_id — use check_job to poll for results.

Detect whether media has been previously registered or seen, using fingerprint matching. Compares against your indexed library at varying depth. Tiers: exact (hash match), quick (perceptual hash), perceptual (visual similarity), compositional (scene structure), full (all tiers). Returns results immediately.

Run membership inference to determine whether your protected content was used to train a suspect AI model. Provide content IDs (from your registered media) and the model to test. Methods: pattern (watermark detection), statistical (distribution analysis), combined (both). Returns a job_id — use check_job to poll for results.

Register and protect media on the Sidearm platform. Modes: register (provenance signing only), search_ready (register + vector indexing), standard (search_ready + watermarks + AI-training poison), maximum (standard + style cloaking + adversarial hardening). Returns the created media object.

List media assets registered to your account. Returns a paginated list with media IDs, types, status, tags, and protection details. Use cursor-based pagination for large libraries.

Get details of a specific registered media asset by ID. Returns metadata, protection status, applied algorithms, tags, and storage information.

Update a registered media asset. Currently supports updating the original media URL (e.g., after re-hosting the original file).

Permanently delete a registered media asset. Removes storage files, vector embeddings, and all associated metadata. This action cannot be undone.

Get rights and licensing information for a registered media asset. Returns C2PA content credentials, Schema.org structured data, IPTC rights metadata, and TDM-AI protocol declarations. Useful for verifying provenance and license terms.

Get billing and usage events for your account. Returns credit consumption, API call history, and a link to the Stripe customer portal. Filter by date range, event type, or tags.