종속성 설치:
지엑스피1
서버를 빌드하세요:
npm run build자동 재빌드를 사용한 개발의 경우:
npm run watchRelated MCP server: cc-session-search
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": {
"302ai-file-parser-mcp": {
"command": "npx",
"args": ["-y", "@302ai/file-parser-mcp"],
"env": {
"302AI_API_KEY": "YOUR_API_KEY_HERE"
}
}
}
}여기에서 302AI_API_KEY를 찾으세요
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.
Provide a file url, parse the file to text, return the text as a string.
Inputs: url (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly distinct as it is the sole operation available.
The single tool name follows a clear verb_noun pattern (parseFileToText), and with only one tool, consistency is inherently perfect as there are no other names to compare against.
A single tool is generally too few for a server named 'File Parser', as this suggests a domain that might include operations like parsing different file types, handling errors, or extracting metadata. The scope feels incomplete with just one basic parsing function.
The server's name implies a broader file parsing capability, but the tool set only includes parsing files to text. Obvious gaps include support for different file formats (e.g., PDF, DOCX), structured data extraction, or error handling, making the surface severely incomplete for the apparent purpose.
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