Barnsworthburning MCP
MCP de Barnsworthburn
Un servidor de Protocolo de Contexto Modelo (MCP) para buscar en barnsworthburning.net .
Descripción general
Este servidor MCP proporciona una herramienta para buscar en barnsworthburning.net a través del punto final de la API en https://barnsworthburning.net/api/search . Se puede usar con Claude para escritorio o cualquier otro cliente MCP.
Related MCP server: Scrapeless MCP Server
Instalación
Instalación mediante herrería
Para instalar Barnsworthburning para Claude Desktop automáticamente a través de Smithery :
npx -y @smithery/cli install @Aias/barnsworthburning-mcp --client claudeInstalación manual
Clonar este repositorio
Instalar dependencias:
npm installConstruir el servidor:
npm run build
Uso
Consulte la documentación del Protocolo de contexto de modelo para obtener información sobre cómo utilizar servidores MCP con clientes compatibles (como Claude for Desktop o Cursor).
Herramientas disponibles
Este servidor MCP proporciona la siguiente herramienta:
búsqueda : Busque en barnsworthburning.net la consulta dada
Parámetros:
query: La consulta de búsqueda que se debe buscar en barnsworthburning.net
Consultas de ejemplo
Una vez que el servidor esté conectado al cliente, puedes hacer preguntas como:
Busca "diseño" en barnsworthburning.net.
Encuentra artículos sobre tipografía en barnsworthburning.net.
"¿Qué tiene de especial barnsworthburning.net en cuanto a la experiencia del usuario?"
Desarrollo
Para modificar o ampliar este servidor MCP:
Editar el código fuente en el directorio
srcReconstruya el servidor con
npm run build
Licencia
Instituto Tecnológico de Massachusetts (MIT)
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
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