Description
Image MCP Server is a Model Context Protocol server that lets any MCP-capable AI agent generate and edit images through a single connection. After pointing a client at the server once, an agent gains eight image tools it can call on its own, including generate_image, generate_transparent_image, edit_image, remove_background, upscale_image, text_to_svg, compress_image, and convert_format, with no per-provider SDKs or glue code.
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It works with any client that speaks MCP, such as Claude Desktop and Claude.ai, Cursor, VS Code, Copilot, Windsurf, Zed, Codex, and more, and also offers an agent skill and a plain HTTP API with a Bearer token for backends and CI pipelines that do not use MCP. One key covers every model behind the server, producing a single bill instead of an account per provider, with bring-your-own-key supported on the Enterprise plan.
Each tool call costs a fixed number of credits, from 1 for a format conversion to 5 for a vector SVG and 8 to 30 for a generation depending on model tier. Plans refill credits monthly and credit packs never expire. A free tier provides 30 credits per month with no credit card. Outputs are returned as a public URL by default to keep agent context small, or as raw bytes on request, and each call is logged with prompt, model, latency, status, and credits deducted.
- CategoryAI Agent Builders
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Image MCP Server's Core Features
One MCP server exposing eight image tools to any agent
Generate, edit, inpaint, and generate transparent images
Background removal, upscaling, vectorization (text_to_svg)
Image compression and format conversion
Works with Claude, Cursor, VS Code, Copilot, and any MCP client
Plain HTTP API with Bearer token for non-MCP stacks
One key across 40+ models with a single bill
Per-call request logging and automatic refunds handling
How to use Image MCP Server?
Connect the server: Point your MCP client at the server with one config line.
Use the tools: Let your agent call the eight image tools on its own.
Or call the API: Use the HTTP equivalent with a Bearer token for backend jobs.
Retrieve outputs: Get a public URL by default, or request raw bytes.
Image MCP Server's Use Cases
- Agent-built websites
- Unified image API
- Backend pipelines
- Spend auditing
