ATproto Docs MCP Server
ATproto 文档的远程 MCP 服务器
部署到 Cloudflare
该远程 MCP 服务器发布了一个用于搜索和查询 ATprotocol 文档的tool 。
工具 | 描述 |
| 搜索 atproto 文档 |
用心打造💙,让基于协议构建的开发人员的生活更加轻松。
此远程 MCP 服务器可公开访问:
https://mcp-atproto-docs.immber.workers.dev/sseRelated MCP server: Docs-MCP
取决于
使用 CloudFlare 提供的远程 MCP 无需身份验证服务器模板创建。
该 MCP 服务器查询由 Cloudflare 工作者使用 ATprocol 的公共文档提供的 CloudFlare AutoRAG 实例。
cron 工作者
=>R2 存储桶=>AutoRAG 矢量化数据库
该项目最初受到Cloudflare 的文档 MCP 服务器的启发。
来源
atproto-docs-worker是一款 CloudFlare Worker,用于抓取文档并将其保存到 R2 存储桶中。它按每周的 cron 计划运行。
要查看或请求更改当前包含的资源列表,请访问该 repo。
使用工具
连接任何兼容 MCP 的客户端。然后让您选择的 AI 代理使用search_documentation工具。
连接到 Cloudflare AI Playground
您可以从 Cloudflare AI Playground(一个远程 MCP 客户端)连接到此 MCP 服务器:
输入您部署的 MCP 服务器 URL (
https://mcp-atproto-docs.immber.workers.dev/sse)您现在可以直接从操场使用此 MCP 工具!
将 Claude Desktop 连接到您的 MCP 服务器
要从 Claude Desktop 连接到此 MCP 服务器,请按照Anthropic 的快速入门进行操作,并在 Claude Desktop 中转到设置 > 开发人员 > 编辑配置。
使用此配置进行更新:
{
"mcpServers": {
"search_atproto_docs": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp-atproto-docs.immber.workers.dev/sse"
]
}
}
}重新启动 Claude,您就会看到工具可用。
示例查询

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
Related MCP Connectors
The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.
MCP server for agentverse documentation, generated by doc2mcp.
Remote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.
MCP server for querying Forkast documentation
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