让您的 AI 编程助手能够即时访问完整的 IMAGIN.studio 文档——包括 CDN 配置、API 参考、集成指南等。
一个工具。一条命令。适用于所有主流 AI 编程助手。
将此内容粘贴到您代理的 MCP 配置中：
{
"mcpServers": {
"imagin-docs": {
"command": "uvx",
"args": ["imagin-studio-api-docs-mcp"]
}
}
}或者直接询问您的 AI 助手：
安装此 MCP 服务器：https://pypi.org/project/imagin-studio-api-docs-mcp/
Related MCP server: @ragrabbit/mcp
安装 — uvx imagin-studio-api-docs-mcp（无需克隆、无需虚拟环境、无需配置）
索引 — 首次运行时，会克隆文档并构建本地向量索引（约 30 秒）
搜索 — 您的 AI 助手调用 search_docs 来查找相关文档
保持更新 — 当上游文档发生变化时，索引会自动更新
一切都在本地运行。无需 API 密钥。无需外部服务。
代理 | 配置位置 |
Claude Code | 项目根目录下的 |
Claude Desktop |
|
Cursor | 设置 > 工具与 MCP |
Windsurf |
|
VS Code + Copilot |
|
Cline | MCP 服务器面板 |
Zed |
|
有关每个代理的详细设置说明，请参阅 PyPI 上的完整设置指南。
如果您的代理找不到 uvx（在使用 Claude Desktop 和 Cursor 等 GUI 应用时很常见）：
{
"mcpServers": {
"imagin-docs": {
"command": "npx",
"args": ["-y", "@imagin.studio/api-docs-mcp"]
}
}
}安装完成后，尝试以下提示：
“在 IMAGIN 文档中搜索 CDN 缓存失效”
“如何使用 IMAGIN 设置自定义域名？”
“查找图像转换的 API 端点”
“IMAGIN.studio 支持哪些图像格式？”
注册表 | 软件包 | 安装 |
PyPI |
| |
npm |
|
Apache License 2.0 — 参见 LICENSE。
Search the official IMAGIN.studio technical documentation, integration guides, and knowledge base.
Use this tool when the user asks 'How do I...' questions, needs explanation on API concepts (CDN, referrers, caching, 360 spinner), or needs to debug integration issues. Rewrite vague queries into specific technical search terms before calling.
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | Natural language search query. Use specific technical terms rather than vague descriptions. Good: "CDN cache invalidation headers". Bad: "caching stuff". | |
| top_k | No | Number of results to return (1-20, default 5). Use 1-3 for focused lookups, 5 for general questions, 10-20 for broad research. |
| Name | Required | Description |
|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint true, idempotentHint true, destructiveHint false. The description adds that it searches specific content types but does not discuss rate limits, authentication, or result format. It adds some context but not rich behavioral detail.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences, no redundant words. First sentence states purpose, second gives usage examples, third provides query rewriting advice. Front-loaded and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read-only search tool with good annotations and output schema, the description covers when to use and what to search. It could mention authentication scope or result limitations, but overall it's reasonably complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with detailed descriptions for both parameters. The description does not add per-parameter details beyond the schema, so baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool searches official IMAGIN.studio technical documentation, integration guides, and knowledge base. This is specific and complete, with no sibling tools to distinguish from.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says when to use ('How do I' questions, API concepts, debug issues) and provides guidance to rewrite vague queries into specific terms. This is optimal usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.1.23search_docsWith only one tool, there is no possibility of confusion between different tools. The single tool is clearly described for its specific purpose.
The single tool name 'search_docs' follows a consistent verb_noun pattern, which is clear and predictable.
One tool is minimal and may feel insufficient for a documentation set; however, it might be acceptable if the scope is strictly limited to search. Still, it falls into the 'thin' category.
The tool covers the core search functionality, but lacks additional operations like retrieving a specific document or listing available topics, which could be useful for a documentation server.
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If you are the server author, to access and configure the admin panel.
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