AI & Machine Learning

jsoncut.com

Manage files and AI generation jobs for image and video creation.

1 endpoint13 known toolsFirst detected May 12, 2026Last detected September 6, 2026

ENDPOINT 1

https://mcp.jsoncut.com/mcp

No auth detected

MCP server metadata

Name: JsonCut API Server
Version: 2.13.1

Capabilities

experimentalprompts.listChangedresources.listChangedtools.listChanged

Server instructions

This server provides access to the JsonCut media processing API. IMPORTANT: Before creating image or video jobs, you MUST: 1. Fetch the relevant JSON schemas using the schema resources or endpoints 2. Understand the schema structure and requirements 3. Validate your configuration against the schema Available schemas: - image: Complete image configuration schema (for image jobs) - video: Complete video configuration schema (for video jobs) TYPICAL WORKFLOW: For Image Processing: 1. Read schema: jsoncut://schemas/image 2. Upload source files (if needed): POST /api/v1/files 3. Create image job: POST /api/v1/jobs (with type: 'image' and config) 4. Monitor job status: GET /api/v1/jobs/{jobId} 5. Download result when completed For Video Processing: 1. Read schema: jsoncut://schemas/video 2. Upload source files (images, videos, audio): POST /api/v1/files 3. Create video job: POST /api/v1/jobs (with type: 'video' and config) 4. Monitor job status: GET /api/v1/jobs/{jobId} 5. Download result when completed KEY FEATURES: - Image processing: Create images with layers, text, filters, and effects - Video processing: Generate videos from images with transitions and effects - File management: Upload and manage media assets - Job tracking: Monitor processing status with real-time updates - Webhooks: Get notified when jobs complete SUPPORTED FORMATS: - Images: JPEG, PNG, WebP - Videos: MP4, MOV - Audio: MP3, WAV RECOMMENDATION: Always fetch and review the relevant schema before creating jobs. The schemas provide detailed information about available options, constraints, and examples.

Known tools 13

Generate_public_download_link

Generate a time-limited public download link for a file.

Inferred read-only

List_user_files

Get a paginated list of files uploaded by the authenticated user

Inferred read-only

List_user_jobs

Get a paginated list of jobs for the authenticated user.

Inferred read-only

Create_a_new_job

Create and queue a new image or video generation job.

Potential side effects

Get_job_details

Retrieve details of a specific job.

Inferred read-only

Cancel_a_job

Cancel a pending job (only works for jobs in PENDING status) **Path Parameters:** - **jobId**: Job ID to cancel

Inferred read-only

List_all_available_schemas

Get a list of all available JSON schemas with their URLs and descriptions

Inferred read-only

Get_image_schema

Get the full JSON schema for image configuration.

Inferred read-only

Get_video_schema

Get the full JSON schema for video configuration.

Inferred read-only

Get_video_duration

Calculate and return the duration of a video file.

Inferred read-only

Get_audio_duration

Calculate and return the duration of an audio file.

Inferred read-only

Get_video_duration_for_multiple_files_bulk

Calculate and return the duration of multiple video files.

Inferred read-only

Get_audio_duration_for_multiple_files_bulk

Calculate and return the duration of multiple audio files.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.jsoncut-api-server]
url = "https://mcp.jsoncut.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "jsoncut-api-server": {
      "type": "http",
      "url": "https://mcp.jsoncut.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: jsoncut-api-server
Remote MCP URL: https://mcp.jsoncut.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "jsoncut-api-server": {
      "url": "https://mcp.jsoncut.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "jsoncut-api-server": {
      "type": "http",
      "url": "https://mcp.jsoncut.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "jsoncut-api-server",
  "transport": "streamable-http",
  "url": "https://mcp.jsoncut.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for jsoncut.com was fetched 2026-08-23T23:34:21.487Z and is being refreshed.

Trust status Neutral

jsoncut.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.