ATproto Docs MCP Server
Ein Remote-MCP-Server für ATproto Docs
Auf Cloudflare bereitgestellt
Dieser Remote-MCP-Server veröffentlicht ein tool zum Suchen und Abfragen der Dokumentation für ATprotocol.
Werkzeug | Beschreibung |
| Durchsucht die atproto-Dokumente |
Mit Liebe 💙 erstellt, um Entwicklern, die auf dem Protokoll aufbauen, das Leben zu erleichtern.
Dieser Remote-MCP-Server ist öffentlich verfügbar unter:
https://mcp-atproto-docs.immber.workers.dev/sseRelated MCP server: Docs-MCP
Hängt ab von
Erstellt mithilfe der von CloudFlare bereitgestellten Remote-MCP-Authless-Servervorlage .
Dieser MCP-Server fragt eine CloudFlare AutoRAG-Instanz ab, die von einem Cloudflare-Worker mit der öffentlichen Dokumentation von ATprocol gespeist wird.
Cron-Worker
=>R2-Speicher-Bucket=>AutoRAG Vectorize DB
Dieses Projekt wurde ursprünglich vom Documentation MCP Server von Cloudflare inspiriert.
Quellen
atproto-docs-worker ist ein Cloudflare-Worker, der Dokumentation crawlt und in einem R2-Bucket speichert. Er läuft wöchentlich nach einem Cron-Zeitplan.
Um die Liste der aktuell enthaltenen Ressourcen anzuzeigen oder Änderungen anzufordern, besuchen Sie bitte dieses Repo.
Verwenden des Tools
Stellen Sie eine Verbindung mit einem beliebigen MCP-kompatiblen Client her. Bitten Sie anschließend den KI-Agenten Ihrer Wahl, das Tool search_documentation zu verwenden.
Mit Cloudflare AI Playground verbinden
Sie können vom Cloudflare AI Playground, einem Remote-MCP-Client, eine Verbindung zu diesem MCP-Server herstellen:
Gehen Sie zu https://playground.ai.cloudflare.com/
Geben Sie die URL Ihres bereitgestellten MCP-Servers ein (
https://mcp-atproto-docs.immber.workers.dev/sse)Sie können dieses MCP-Tool jetzt direkt vom Spielplatz aus verwenden!
Verbinden Sie Claude Desktop mit Ihrem MCP-Server
Um von Claude Desktop aus eine Verbindung zu diesem MCP-Server herzustellen, folgen Sie der Schnellstartanleitung von Anthropic und gehen Sie in Claude Desktop zu Einstellungen > Entwickler > Konfiguration bearbeiten.
Update mit dieser Konfiguration:
{
"mcpServers": {
"search_atproto_docs": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp-atproto-docs.immber.workers.dev/sse"
]
}
}
}Starten Sie Claude neu und die Tools sollten verfügbar werden.
Beispielabfragen

Available Tools
1 toolsearch_documentationA
Search the documentation for the given query.
This tool can be used to answer questions about documentation. Results are limited and returned as semantically similar chunks to the query.| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses key behavioral traits: 'Results are limited and returned as semantically similar chunks to the query.' This adds useful context about result limitations and format. However, it doesn't cover other important aspects like error handling, authentication needs, or rate limits, leaving gaps for a tool with no annotation support.
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?
The description is appropriately sized and front-loaded: the first sentence states the core purpose, and the second adds necessary context. Every sentence earns its place with no wasted words, making it efficient and easy to parse.
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?
Given the tool's moderate complexity (1 parameter, no output schema, no annotations), the description is somewhat complete but has gaps. It explains the purpose and result format but lacks details on error cases, authentication, or output structure. Without an output schema, more information on return values would be helpful, though the description does mention result limitations.
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?
The input schema has 1 parameter with 0% description coverage, so the description must compensate. It explains that the 'query' parameter is used to 'search the documentation' and 'answer questions about documentation,' providing clear semantic meaning beyond the schema. This adequately covers the single parameter, though it doesn't detail query syntax or examples.
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's purpose: 'Search the documentation for the given query.' This specifies the verb ('search') and resource ('documentation'), making it easy to understand what the tool does. However, with no sibling tools mentioned, there's no opportunity to distinguish from alternatives, so it doesn't reach the highest score.
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?
The description provides some usage context: 'This tool can be used to answer questions about documentation.' This implies when to use it, but it doesn't offer explicit guidance on when not to use it or mention any alternatives. With no sibling tools, the guidance is adequate but not comprehensive.
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.
1 tool update
v1.0.0- First observed
search_documentation
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool has a clear, distinct purpose focused on searching documentation.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'search_documentation' follows a clear verb_noun pattern.
A single tool is too few for a server named 'ATproto Docs MCP Server', which suggests a documentation-focused domain. This minimal set lacks essential operations like browsing, retrieving specific sections, or navigating documentation structure.
The tool surface is severely incomplete for a documentation server. It only provides search functionality, missing basic operations such as listing documentation topics, getting detailed content, or accessing related resources, which are critical for comprehensive documentation interaction.
Maintenance
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