Schema | EFLOWCODE Image MCP

EFLOWCODE Image MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`EFLOWCODE_MODEL`	No	Responses model used for image generation	gpt-5.5
`EFLOWCODE_API_KEY`	Yes	API key used as Bearer token
`EFLOWCODE_BASE_URL`	No	Base URL without trailing endpoint path	https://e-flowcode.cc/v1
`EFLOWCODE_SAVE_DIR`	No	Default output directory	~/Pictures/eflowcode-image-out
`EFLOWCODE_PROMPT_PREFIX`	No	Prefix added to all prompts	不改写：
`EFLOWCODE_SAVE_DIR_ROOT`	No	Sandbox root for output paths	same as save dir
`EFLOWCODE_USE_SHELL_PROXY`	No	Set to 1 to let httpx use shell proxy env vars	0

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
image_generateC	文本生成图像。使用 gpt-5.5 /v1/responses + image_generation。
image_editC	单图参考/编辑。把本地图片作为 Responses image input 传入 image_generation。
image_batch_editB	批量单图编辑。对每张图片独立调用 image_edit。
image_multi_referenceC	多图参考生成一张新图。把多张本地图片作为 Responses image input。
server_infoA	返回 Codex 生图 MCP 的当前配置和能力。

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/EF-FlowCode/eflowcode-image-mcp'

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