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Kopieren und Einfügen von MCP

Ein Model Context Protocol (MCP)-Server, der ein Tool zum Extrahieren bestimmter Zeilen aus Textinhalten bereitstellt.

Merkmale

  • Einfaches Tool zum Extrahieren bestimmter Zeilenbereiche aus beliebigen Textinhalten

  • Behält die exakte Inhaltsformatierung und Zeilenumbrüche bei

  • Keine Veränderung des Inhalts – reine Extraktion

  • MCP-Serverimplementierung für die einfache Integration mit KI-Tools

Related MCP server: MCP PDF Reader

MCP-Server

Dieses Paket enthält einen MCP-Server, der die Zeilenextraktionsfunktion als Tool bereitstellt, das von jedem MCP-Client wie Claude Desktop, VS Code oder anderen MCP-kompatiblen Anwendungen verwendet werden kann.

Verfügbare Tools

  1. extract-lines - Extrahieren Sie einen bestimmten Zeilenbereich aus dem Textinhalt

Installation

  1. Klonen Sie das Repository

  2. Installieren Sie Abhängigkeiten:

npm install

Verwendung

Starten des MCP-Servers

npm start

Dadurch wird der MCP-Server unter Verwendung des Stdio-Transports gestartet, mit dem MCP-Clients eine Verbindung herstellen können.

Herstellen einer Verbindung zum Server

In einem MCP-kompatiblen Client (wie Claude Desktop) können Sie diesen Server mit Folgendem hinzufügen:

  • Name: Kopieren-Einfügen

  • Befehl: node /path/to/copy-paste-mcp/dist/index.js

  • Transport: stdio

Verwenden des Tools

Sobald die Verbindung hergestellt ist, können Sie das Tool über die Schnittstelle Ihres MCP-Clients verwenden:

Zeilen extrahieren

Tool: extract-lines
Parameters:
  - text: "Your multi-line text content goes here\nSecond line\nThird line"
  - start_line: 1
  - end_line: 2

Dadurch werden die ersten beiden Zeilen des bereitgestellten Textinhalts zurückgegeben.

Beispiele

Extrahieren Sie die Zeilen 10–20 aus einem großen Textblock:

Tool: extract-lines
Parameters:
  - text: [your text content with many lines]
  - start_line: 10
  - end_line: 20

Extrahieren Sie nur eine einzige Zeile (Zeile 5):

Tool: extract-lines
Parameters:
  - text: [your text content]
  - start_line: 5
  - end_line: 5

Warum dies verwenden?

Dieses Tool ist nützlich, wenn Sie Folgendes tun müssen:

  • Extrahieren Sie bestimmte Abschnitte aus großen Textblöcken

  • Exakte Zeilenbereiche aus Code oder Dokumentation kopieren

  • Gewährleisten Sie eine präzise Inhaltsextraktion ohne Änderungen

  • Integrieren Sie Funktionen zur Linienextraktion über MCP in KI-Workflows

  • Arbeiten mit bestimmten Teilen großer Dokumente

Available Tools

1 tool
extract-linesB

Extract a specific range of lines from text content

ParametersJSON Schema
NameRequiredDescriptionDefault
textYesThe full text content to extract lines from
start_lineYesStarting line number (inclusive)
end_lineYesEnding line number (inclusive)

TDQS

B3.1/5.0
Behavior2/5

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. It mentions the extraction action but doesn't describe what happens with invalid inputs (e.g., start_line > end_line), whether the operation is read-only or has side effects, error handling, or output format. This leaves significant behavioral gaps for an agent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words. It's appropriately sized for this simple tool and front-loads the core functionality clearly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple text processing tool with no annotations, no output schema, and 100% schema coverage, the description is minimally adequate. It covers the basic purpose but lacks behavioral details and usage context that would help an agent use it correctly in practice.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 100%, with all three parameters well-documented in the schema. The description adds no additional parameter semantics beyond implying a range operation. This meets the baseline of 3 when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 ('extract') and resource ('lines from text content'), and specifies the scope ('a specific range'). It doesn't need sibling differentiation since there are no sibling tools. However, it could be slightly more specific about what 'extract' means operationally.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

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, prerequisites, or constraints. It simply states what the tool does without context about appropriate use cases or limitations.

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. 1 tool update
    • First observedextract-lines

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion or overlap with other tools, making disambiguation perfect.

Naming Consistency5/5

The single tool uses a clear verb_noun pattern (extract-lines), and with no other tools to compare, consistency is inherently perfect.

Tool Count2/5

One tool is too few for a server named 'Copy-Paste MCP', which suggests broader copy-paste functionality, making the scope feel incomplete and thin.

Completeness2/5

The tool only extracts lines from text, lacking obvious operations like copying full text, pasting, or handling other copy-paste tasks, indicating significant gaps for the domain.

Maintenance

ActivityInactive
ResponsivenessNo issues

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