MCP Server for continue.dev
Protocolo de contexto de modelo (MCP) Servidor Python para usar con continue.dev
Servidor MCP que expone plantillas de avisos, recursos y herramientas personalizables. Utiliza FastMCP para ejecutarse como aplicación de servidor.
Dependencias, compilación y ejecución administradas por la herramienta uv.
Funcionalidad proporcionada
indicaciones
Avisos creados a partir de archivos Markdown en la carpeta de prompts . Se puede agregar contenido adicional mediante plantillas, con nombres de variables en formato {{variable}}. Lista inicial de avisos:
Revisar código creado por otro llm
Verifique la legibilidad del código y confirme con las reglas de Código Limpio
Utilice un LLM conversacional para centrarse en una idea
Termine al final de la lluvia de ideas para guardarlo como archivo
spec.mdDesarrollo impulsado por pruebas, para crear pruebas a partir de especificaciones
Redactar un plano detallado, paso a paso, para el proyecto de construcción a partir de las especificaciones.
recursos
NOTA: continuar no entiende plantillas, por lo que el nombre del recurso debe contener toda la información. El nombre del recurso se deja tal como aparece en el mensaje, de modo que no confunda a llm.
Extraer el contenido de la URL como Markdown
Documentación completa sobre las bibliotecas, preferiblemente desde llms-full.txt
Estructura y contenido completo del proyecto, creado por
CodeWeaweroRepomix
herramientas
Búsqueda web, utilizando
serperoResultados de búsqueda web con resumen, por
perplexity.ioencontrar pruebas perdidas
ejecutar pruebas unitarias y recopilar errores
Available Tools
1 toolweb_searchC
Search the web for information
| 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 of behavioral disclosure. The description 'Search the web for information' does not disclose any behavioral traits such as rate limits, authentication needs, response format, pagination, or whether it's a read-only or mutating operation. It fails to provide essential context for safe and effective use.
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, efficient sentence with no wasted words. It is appropriately sized for a simple tool and front-loaded with the core action, making it easy to parse quickly. Every part of the sentence contributes to the basic understanding.
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 complexity (a web search tool with no annotations, no output schema, and low parameter documentation), the description is incomplete. It lacks details on behavior, output, error handling, and usage context, making it insufficient for an AI agent to select and invoke the tool correctly without additional assumptions or trial-and-error.
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, and the description does not add any meaning beyond what the schema provides. It mentions 'Search the web' but does not explain the 'query' parameter's semantics, format, or constraints (e.g., length limits, special syntax). With low schema coverage, the description fails to compensate, leaving the parameter poorly documented.
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 'Search the web for information' states the general purpose with a verb ('Search') and resource ('the web'), but it's vague about scope and functionality. It doesn't specify what kind of search this is (e.g., general web search, news search, image search) or how results are returned, which leaves the purpose ambiguous despite being understandable at a basic level.
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. There are no sibling tools mentioned, so no explicit comparison is needed, but it lacks any context about appropriate use cases, prerequisites, or limitations (e.g., when to prefer this over other search methods). This leaves the agent with minimal 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
- First observed
web_search
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'web_search' has a clear and distinct purpose that cannot be confused with any other tool in this set.
A single tool inherently exhibits perfect naming consistency, as there are no other tools to compare against. The tool name 'web_search' follows a clear verb_noun pattern, which would be consistent if more tools were added.
A server with only one tool feels thin and under-scoped for a general-purpose domain like 'continue.dev', which might imply broader functionality. While a single tool can be appropriate for highly specialized servers, this seems too minimal for the apparent scope.
The tool surface is severely incomplete for a server named for 'continue.dev', which likely involves development or coding assistance. A single web search tool leaves significant gaps, such as code analysis, file operations, or other development-related tasks, causing potential agent failures.
Maintenance
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