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agent-hanju/char-index-mcp

by Various

A Model Context Protocol server for character-level index-based string manipulation

A

MCP

agent-hanju/char-index-mcp

Added 1 June 2026

Overview

This tool is a Model Context Protocol (MCP) server that exposes character-level index-based string manipulation operations. It allows AI agents to perform actions such as substring extraction, character replacement, and length calculation using zero-based character positions. The server is written in Python and communicates via the MCP protocol.

Best for

Best for
Developers building MCP-based tools that require exact character-level text processing in AI agent workflows

Use cases

  • Extracting substrings by character index range
  • Replacing characters at specific positions
  • Computing string length and character offsets

Notes

This tool is a Model Context Protocol (MCP) server that exposes character-level index-based string manipulation operations. It allows AI agents to perform actions such as substring extraction, character replacement, and length calculation using zero-based character positions. The server is written in Python and communicates via the MCP protocol.

2 stars on GitHub. Last updated 2026-04-02. Licensed MIT.

Use cases

  • Extracting substrings by character index range
  • Replacing characters at specific positions
  • Computing string length and character offsets

Pros

  • Lightweight Python server with minimal dependencies
  • Simple integer-based interface for precise string operations
  • Integrates seamlessly with MCP-compatible AI agents and tools

Cons

  • Very low community traction (only 2 GitHub stars)
  • Limited documentation and example usage
  • Only supports basic character-level operations, no regex or pattern matching

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight Python server with minimal dependencies
  • Simple integer-based interface for precise string operations
  • Integrates seamlessly with MCP-compatible AI agents and tools

Cons

  • Very low community traction (only 2 GitHub stars)
  • Limited documentation and example usage
  • Only supports basic character-level operations, no regex or pattern matching