"A command-line fuzzy finder" matching MCP servers:

This server enables Claude to execute shell commands, read and edit files, and perform git operations on the host machine via a remote MCP endpoint.

An MCP server for precise, hash-referenced file editing that enables atomic edits using line:hash references instead of fragile line numbers or full content reproduction.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Self-hosted collaborative LaTeX editor with a built-in MCP server. Claude reads and edits project files, typesets with latexmk, gets errors with file and line, and sees the PDF; every edit is a git commit.

Percival Ubuntu is a security-focused MCP server for safe Ubuntu operations, optimized for the Nanobot agent. It enables file management and command execution under strict security policies.

Provides comprehensive PC control capabilities including file operations (read, write, edit, delete), directory management, file search, and shell command execution through the Model Context Protocol.

MCP server for managing multiple SSH servers via AI assistants, offering tools for remote command execution, file operations, and system monitoring.

A collection of Model Context Protocol servers that enable Claude Desktop to provide development assistance capabilities with filesystem, Git, shell command, and web search functionality without incurring API usage costs.

Deploy static HTML folders to permanent vibie.page URLs from Claude, Cursor, or any MCP client. One-line auto-install wires up the config, OAuth device-flow handles auth, and a folder marker lets repeat deploys skip the slug.

Enables AI agents to interact with the Linux desktop through desktop notifications, interactive dialogs, shell command execution, and privileged command execution.

A read-only MCP server that exposes AI Disk Doctor Core's scan, model inventory, and history tools via local stdio, with no mutation or shell capabilities.

Enables AI clients to manage remote Linux workspaces over OpenSSH, including file read/write/edit, glob/grep search, shell command execution, and background job management, with authentication handled interactively in a terminal.

Enables large language models to refine Office documents (Word, Excel, PowerPoint) via interactive visual selection of text and fine-grained prompt annotations in a browser window, with version history and precise location-based edits.

locidx

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.

Provides intelligent file system operations with advanced features including code analysis and modification across multiple languages, version control (Git/GitHub), file compression, encryption, semantic search, batch operations, and secure shell command execution.

An MCP server for reading and editing large text files using content-addressed anchors that survive line shifts, providing tools like read_file_range, edit_file_range, insert_at, prepend_to_file, and append_to_file.

A local MCP server that delegates tasks to a subagent runtime via OpenAI-compatible interfaces, enabling file operations, command execution, and rollback of local file changes.

A Model Context Protocol server that enables keyword search within files, returning matching lines with line numbers.

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

A Model Context Protocol server for secure local system operations, enabling shell command execution and file management via a standardized interface.

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.

Provides LLMs with local filesystem operations (read/write files, list directories) and command execution via MCP, enabling file management and task automation within AI clients.

Bridges a remote, cloud-hosted agent to your local machine, exposing Pi's coding tools (read, write, edit, ls, grep, find, bash, powershell) rooted at a directory you choose. It also adds a human channel so the agent can message, question, and wait on you through tool calls instead of a platform chat UI, with OAuth 2.1 or bearer-token authorization and no persistence between runs.

Enables reading, creating, and editing files on the local filesystem through operations like view, create, string replacement, and line insertion.

A comprehensive MCP server that enables AI models to perform local file operations, command execution, and task management across multiple platforms. It features advanced capabilities like row-level file editing, directory searching, and system monitoring with built-in security filters.

Persistent local memory for Claude Code that indexes every session's JSONL file verbatim into SQLite + ChromaDB. Exposes 17 MCP tools for semantic recall, deterministic file replay, and fuzzy "do you remember when..." queries across your entire session history — no API calls, nothing leaves the machine.

Enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.

Provides full access to a local Windows computer via MCP, enabling arbitrary command execution, file operations, and process management through a secure stdio or HTTP tunnel.

Gives mobile AI assistants a real local command-line workspace and manages Cloudflare resources (Pages/D1/KV/R2) via REST or wrangler, with credentials remaining on-device.