"A local tool for counting characters in text" matching MCP servers:

A local MCP server that runs Llama models entirely on your machine. No API keys, no cloud costs, 100% private and offline-capable.

Read and filter Excel, CSV, ODS, SQLite, Parquet and MTSV files — or a folder — as plain text

A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables AI agents to extract text locally from PDF files through a STDIO tool, returning full-document text, page-level paragraphs, extraction methods, warnings, and basic table readability, with English/German OCR fallback for scanned pages.

Enables users to directly edit authoritative Markdown context and tables within Codex, review the complete text before saving, and commit tracked immutable revisions with version history.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

An open source implementation of the Claude built-in text editor tool versions: text\_editor\_20241022 (Claude 3.5 Sonnet) text\_editor\_20250124 (Claude 3.7 Sonnet)

Enables AI assistants to perform advanced file editing operations with enhanced security, automatic backups, and undo functionality.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables secure, read-only access to text and code files inside user-configured local folders on Windows, with directory listing, file reading, and text search capabilities.

A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.

Claude Code MCP server to create and update local interactive web pages (Artifacts) that live-refresh via SSE.

A Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.

Enables ChatGPT to read and edit local text files, apply precise string replacements, and run Bash commands on a user's own macOS or Linux machine through a secure local tunnel without exposing public ports.

Local-only MCP server for saving and restoring conversation context across AI agent sessions using JSON files on disk.

MCP server that enables local hybrid semantic and keyword search over private PDF, DOCX, Markdown, and text documents without sending data to embedding APIs.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

Enables Copilot to safely read one explicitly selected source file from a configured root directory via a single MCP tool call and receive bounded, UTF-8 text for explanation.

MCP server providing WP-CLI, MySQL, and filesystem access for Local by Flywheel WordPress sites, enabling direct management without HTTP endpoints.

MCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.

Enables Claude to create, read, update, and search notes in a local Obsidian vault, with automatic YAML frontmatter and folder management.

Enables MCP clients to access a local computer through a controlled, permission-based tool surface for read-only or developer-mode file, process, and terminal operations.

Enables AI clients like ChatGPT or Codex to manage files and local Git repositories within an explicitly authorized workspace, with server-enforced path boundary checks and optional remote Git operations.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

A universal MCP server that enables any LLM or AI agent to access expert skills from your local filesystem.

Lets ChatGPT, Claude Desktop, Claude Code, and other MCP clients run an allowlisted set of local commands and read files from a chosen directory, so an assistant can analyse a codebase or trigger local generators (images, sprites, assets) without metered API tokens. The server is read-only and deny-by-default by default, with no shell, path containment, opt-in writes, and required auth when exposed over HTTP.

Enables local OCR transcription of images using tesseract.js, with optional low-token AI-generated descriptions, folder batch processing, and compatibility with MCP clients like ChatGPT, Claude, opencode, and Cursor.

Exposes local file I/O, a restricted shell whitelist, and SQLite helpers for safe integration with AI clients like Cursor and Claude Desktop.

Transform any local file into AI-optimized markdown format for seamless integration with Claude Desktop, Claude Code, and other MCP clients.