MCP Server for continue.dev
continue.dev で使用するモデル コンテキスト プロトコル (MCP) Python サーバー
カスタマイズ可能なプロンプト テンプレート、リソース、およびツールを公開する MCP サーバー。サーバー アプリケーションとして実行するために FastMCP を使用します。
依存関係、ビルド、実行は uv ツールによって管理されます。
提供される機能
プロンプト
promptsフォルダ内のマークダウンファイルから作成されたプロンプト。テンプレート化や{{variable}}形式の変数名で追加コンテンツを追加できます。プロンプトの初期リスト:
別のLLMによって作成されたコードのレビュー
コードの読みやすさをチェックし、クリーンコードルールに従って確認する
会話型LLMを活用してアイデアを絞り込む
ブレインストーミングの最後にラップして、
spec.mdファイルとして保存します。テスト駆動開発、仕様からテストを作成する
仕様から建築プロジェクトの詳細な段階的な設計図を作成します
リソース
注意: continue はテンプレートを理解しないので、リソース名にはすべての情報を含める必要があります。 リソース名はプロンプトにそのまま残し、llm を混乱させないようにします。
URLの内容をマークダウンとして抽出する
ライブラリに関する完全なドキュメント(llms-full.txt が望ましい)
CodeWeawerまたはRepomixによって作成された完全なプロジェクト構造とコンテンツ
ツール
ウェブ検索、
serperまたはperplexity.ioによる要約付きウェブ検索結果見逃したテストを見つける
ユニットテストを実行してエラーを収集する
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.
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