Barnsworthburning MCP
巴恩斯沃思伯恩 MCP
用于搜索barnsworthburning.net 的模型上下文协议 (MCP)服务器。
概述
此 MCP 服务器提供了一个工具,用于通过https://barnsworthburning.net/api/search的 API 端点搜索 barnsworthburning.net。它可以与 Claude for Desktop 或任何其他 MCP 客户端一起使用。
Related MCP server: Scrapeless MCP Server
安装
通过 Smithery 安装
要通过Smithery自动为 Claude Desktop 安装 Barnsworthburning:
npx -y @smithery/cli install @Aias/barnsworthburning-mcp --client claude手动安装
克隆此存储库
安装依赖项:
npm install构建服务器:
npm run build
用法
有关如何将 MCP 服务器与兼容客户端(例如 Claude for Desktop 或 Cursor)一起使用的信息,请参阅模型上下文协议文档。
可用工具
该 MCP 服务器提供以下工具:
搜索:在 barnsworthburning.net 上搜索给定的查询
参数:
query:在 barnsworthburning.net 上查找的搜索查询
示例查询
一旦服务器连接到客户端,您就可以询问以下问题:
“在 barnsworthburning.net 上搜索‘设计’”
“在 barnsworthburning.net 上查找有关排版的文章”
“barnsworthburning.net 的用户体验如何?”
发展
要修改或扩展此 MCP 服务器:
编辑
src目录中的源代码使用
npm run build重建服务器
执照
麻省理工学院
Available Tools
1 toolsearchC
Search barnsworthburning.net for the given query
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The search query to look for on barnsworthburning.net |
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 of behavioral disclosure. While 'Search' implies a read-only operation, the description fails to specify critical details like rate limits, authentication needs, result format, or pagination behavior, which are essential for effective tool invocation.
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 a single, direct sentence that efficiently conveys the core functionality without any unnecessary words. It is front-loaded and appropriately sized for a simple tool, making it easy for an agent to parse and understand quickly.
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 lack of annotations and output schema, the description is insufficiently complete. It does not address behavioral aspects like result handling or error conditions, nor does it compensate for the missing structured data, leaving gaps in understanding how to effectively use the tool.
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 100% description coverage, with the 'query' parameter well-documented in the schema itself. The description adds minimal value by mentioning the query but does not provide additional semantic context beyond what the schema already states, aligning with the baseline score for high schema coverage.
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 with a specific verb ('Search') and resource ('barnsworthburning.net'), making it immediately understandable. However, since there are no sibling tools mentioned, it cannot demonstrate differentiation from alternatives, which prevents a perfect score of 5.
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 no guidance on when to use this tool versus alternatives or any contextual prerequisites. It simply states what the tool does without indicating appropriate scenarios or limitations, leaving the agent with minimal usage direction.
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
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools, as there are no other tools to confuse it with. The tool's purpose is clearly defined and distinct by default.
The single tool name 'search' follows a simple verb pattern, and with only one tool, there is no inconsistency to evaluate. The naming is inherently consistent within this minimal set.
A single tool is too few for most server purposes, as it severely limits functionality and scope, making the server feel thin and incomplete. This is a borderline case leaning toward inadequacy for typical MCP server expectations.
The server has a significant gap in coverage, as it only provides a search function without any complementary tools for creation, retrieval, update, or deletion of resources. This makes the surface severely incomplete for any meaningful domain beyond basic querying.
Maintenance
Related MCP Connectors
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with yo…
Search your AI chat history (ChatGPT, Claude, Codex) from any MCP client. Remote, private, read-only
MCP server for Firecrawl — web search, scraping, and biomedical/arXiv paper search.
Related MCP Servers
- AlicenseBqualityFmaintenanceA Model Context Protocol (MCP) server for web research. Bring real-time info into Claude and easily research any topic.31,766 npm297MIT
- AlicenseCqualityCmaintenanceA Model Context Protocol server implementation that enables AI assistants like Claude to perform Google searches and retrieve web data directly through natural language requests.179 npm169MIT
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that enables AI applications like Claude Desktop and Cursor IDE to perform web searches via DuckDuckGo's search engine.-
- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server that provides comprehensive access to Obsidian vaults with Claude.ai remote integration, Tailscale support, and advanced query capabilities.3,967 npm37Apache 2.0