imagin-studio-api-docs-mcp
OfficialIMAGIN.studio API Docs MCP Server
Ermöglichen Sie Ihrem KI-Programmierassistenten sofortigen Zugriff auf die vollständige IMAGIN.studio Dokumentation – CDN-Konfiguration, API-Referenzen, Integrationsleitfäden und mehr.
Ein Tool. Ein Befehl. Funktioniert mit jedem gängigen KI-Programmierassistenten.
Schnellstart
Fügen Sie dies in die MCP-Konfiguration Ihres Agenten ein:
{
"mcpServers": {
"imagin-docs": {
"command": "uvx",
"args": ["imagin-studio-api-docs-mcp"]
}
}
}Oder fragen Sie einfach Ihren KI-Assistenten:
Installiere diesen MCP-Server: https://pypi.org/project/imagin-studio-api-docs-mcp/
Related MCP server: @ragrabbit/mcp
Funktionsweise
Installieren —
uvx imagin-studio-api-docs-mcp(kein Klonen, kein venv, keine Konfiguration)Indizieren — Beim ersten Start wird die Dokumentation geklont und ein lokaler Vektor-Index erstellt (~30 Sek.)
Suchen — Ihr KI-Assistent ruft
search_docsauf, um relevante Dokumentation zu findenAktuell bleiben — Der Index aktualisiert sich automatisch, wenn sich die Upstream-Dokumentation ändert
Alles läuft lokal. Keine API-Schlüssel. Keine externen Dienste.
Unterstützte Agenten
Agent | Konfigurationsort |
Claude Code |
|
Claude Desktop |
|
Cursor | Einstellungen > Tools & MCP |
Windsurf |
|
VS Code + Copilot |
|
Cline | MCP-Server-Panel |
Zed |
|
Detaillierte Einrichtungsanweisungen für jeden Agenten finden Sie im vollständigen Einrichtungsleitfaden auf PyPI.
Alternative: npx
Falls Ihr Agent uvx nicht finden kann (häufig bei GUI-Apps wie Claude Desktop und Cursor):
{
"mcpServers": {
"imagin-docs": {
"command": "npx",
"args": ["-y", "@imagin.studio/api-docs-mcp"]
}
}
}Was Sie fragen können
Nach der Installation können Sie Prompts wie diese ausprobieren:
"Suche in der IMAGIN-Dokumentation nach CDN-Cache-Invalidierung"
"Wie richte ich eine benutzerdefinierte Domain mit IMAGIN ein?"
"Finde den API-Endpunkt für Bildtransformationen"
"Welche Bildformate unterstützt IMAGIN.studio?"
Pakete
Registry | Paket | Installation |
PyPI |
| |
npm |
|
Lizenz
Apache License 2.0 – siehe LICENSE.
Available Tools
1 toolsearch_docsSearch IMAGIN.studio DocumentationARead-onlyIdempotent
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. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
v0.1.23- First observed
search_docs
TDQS
With 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.
Maintenance
Resources
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