Content Tools

pictomancer.ai

Provides image manipulation capabilities including format conversion, resizing, compression, and analysis.

1 endpoint10 known toolsFirst detected May 17, 2026Last detected September 6, 2026

ENDPOINT 1

https://api.pictomancer.ai/mcp

No auth detected

MCP server metadata

Name: Pictomancer.ai
Version: Agent-to-agent image processing: resize, convert, compress, crop, pipeline, and one-call optimization of AI-generated images for the web. Sub-50ms latency, USDC micropayments via x402.

Capabilities

experimentaltools

Known tools 10

get_format_info

Get supported formats and options Returns supported output formats and their configurable options.

Inferred read-only

estimate_cost

Estimate the price of an operation Returns the exact USD price this API would charge for an operation on an input of the given size, without fetching or processing anything.

Potential side effects

analyze_image

Analyze an image Fetch an image from a URL or base64 and return its metadata: size in bytes, pixel dimensions, source format, and what it costs every supported vision model in tokens.

Inferred read-only

resize_image

Resize an image Scale an image by a factor, or fill an exact box.

Inferred read-only

compress_image

Compress an image Re-encode an image with quality/format options to reduce file size.

Inferred read-only

convert_image

Convert image format Convert an image to a different format (jpeg, png, webp, tiff, gif, avif).

Inferred read-only

crop_image

Crop an image Extract a rectangular region from an image, in one of three mutually exclusive modes.

Inferred read-only

optimize_for_vision

Resize an image for a vision model Resize an image to the largest size a given vision model still benefits from, and report what it costs that model in tokens before and after.

Inferred read-only

optimize_generated_image

Optimize an AI-generated image for the web The step after image generation.

Inferred read-only

image_pipeline

Run a multi-step image pipeline Chain multiple operations (resize, compress, convert, crop) in sequence.

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.pictomancer-ai]
url = "https://api.pictomancer.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "pictomancer-ai": {
      "type": "http",
      "url": "https://api.pictomancer.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: pictomancer-ai
Remote MCP URL: https://api.pictomancer.ai/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": {
    "pictomancer-ai": {
      "url": "https://api.pictomancer.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "pictomancer-ai": {
      "type": "http",
      "url": "https://api.pictomancer.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "pictomancer-ai",
  "transport": "streamable-http",
  "url": "https://api.pictomancer.ai/mcp"
}

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

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