MCP Server for continue.dev
continue.dev와 함께 사용할 모델 컨텍스트 프로토콜(MCP) Python 서버
사용자 정의 가능한 프롬프트 템플릿, 리소스, 도구를 제공하는 MCP 서버입니다. 서버 애플리케이션으로 실행하기 위해 FastMCP를 사용합니다.
종속성, 빌드 및 실행은 uv 도구로 관리됩니다.
제공된 기능
프롬프트
prompts 폴더의 마크다운 파일로 생성된 프롬프트입니다. 템플릿이나 {{variable}} 형식의 변수 이름을 사용하여 추가 콘텐츠를 추가할 수 있습니다. 초기 프롬프트 목록:
다른 llm이 만든 코드 검토
가독성을 위해 코드를 확인하고 Clean Code 규칙으로 확인합니다.
대화형 LLM을 사용하여 아이디어에 집중하세요
브레인스토밍이 끝나면
spec.md파일로 저장하세요.테스트 주도 개발, 사양에서 테스트를 생성합니다.
사양에 따라 건물 프로젝트에 대한 상세하고 단계별 청사진을 작성합니다.
자원
참고: continue는 템플릿을 이해하지 못하므로 리소스 이름 에는 프롬프트에 그대로 남겨진 모든 정보 리소스 이름이 포함되어야 llm을 혼동시키지 않아야 합니다.
URL 콘텐츠를 마크다운으로 추출
라이브러리에 대한 전체 문서(llms-full.txt에서 권장)
CodeWeawer또는Repomix에서 생성된 완전한 프로젝트 구조 및 콘텐츠
도구
웹 검색,
serper사용 또는perplexity.io의 요약이 포함된 웹 검색 결과놓친 시험 찾기
단위 테스트를 실행하고 오류를 수집합니다.
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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