Python Docs Server
python-docs-server MCP 서버
모델 컨텍스트 프로토콜 서버
이는 Brave Search API를 사용하여 Python 문서를 가져오는 도구를 제공하는 TypeScript 기반 MCP 서버입니다.
특징
도구
get_python_docs- 주어진 쿼리에 대한 Python 문서를 가져옵니다.필수 매개변수로 검색 쿼리를 사용합니다.
Brave Search API를 사용하여 관련 문서 링크를 가져옵니다.
Related MCP server: MCP2Brave
개발
종속성 설치:
지엑스피1
서버를 빌드하세요:
npm run build자동 재빌드를 사용한 개발의 경우:
npm run watch설치
Claude Desktop과 함께 사용하려면 서버 구성을 추가하세요.
MacOS의 경우: ~/Library/Application Support/Claude/claude_desktop_config.json Windows의 경우: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"python-docs-server": {
"command": "/path/to/python-docs-server/build/index.js"
}
}
}디버깅
MCP 서버는 stdio를 통해 통신하므로 디버깅이 어려울 수 있습니다. 패키지 스크립트로 제공되는 MCP Inspector를 사용하는 것이 좋습니다.
npm run inspector검사기는 브라우저에서 디버깅 도구에 액세스할 수 있는 URL을 제공합니다.
Available Tools
1 toolget_python_docsC
Get Python documentation for a given query
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | The search query for Python documentation |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure but offers minimal information. It mentions 'Get Python documentation' but doesn't specify aspects like data sources, rate limits, authentication needs, or response formats, leaving significant gaps in understanding the tool's behavior.
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 extremely concise and front-loaded, consisting of a single, clear sentence that directly states the tool's function without any unnecessary words or structural fluff.
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 incomplete for effective tool use. It fails to address key contextual elements like the source of documentation, result format, or any operational constraints, making it insufficient despite the simple parameter schema.
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 schema description coverage is 100%, with the single parameter 'query' fully documented in the schema. The description adds no additional meaning beyond what the schema provides, such as query examples or format details, so it meets the baseline for adequate but unenriched parameter information.
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 ('Get') and resource ('Python documentation'), and specifies the action is for a 'given query'. However, with no sibling tools mentioned, there's no opportunity to distinguish from alternatives, preventing a perfect score.
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 restates the basic functionality without indicating scenarios, limitations, or comparisons to other methods.
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. Dates show when Glama detected each change.
1 tool update
- First observed
get_python_docs
TDQS
With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as retrieving Python documentation, making it distinct by default.
The single tool name 'get_python_docs' follows a clear verb_noun pattern (get + python_docs). Since there is only one tool, consistency is inherently perfect with no deviations to assess.
A single tool is too few for a server named 'Python Docs Server', which suggests a broader scope like searching, browsing, or managing documentation. One tool feels thin and limits functionality, indicating a mismatch with the apparent purpose.
The tool set is severely incomplete for a documentation server. It only provides retrieval ('get_python_docs'), lacking essential operations such as search, list topics, get specific versions, or navigate documentation structure, which are typical for such a domain.
Maintenance
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