"Using llama.cpp and Searxng with local models" matching MCP servers:

A local Python MCP server that provides basic tools like greet, add_numbers, and system_info, designed for process-based connections via stdin/stdout.

Enables ChatGPT to work directly on local projects by reading files, editing code, running tests and commands, inspecting Git state, and managing durable workflows, with optional delegation to local Codex agents for complex tasks.

Enables ChatGPT Web or another MCP client to inspect and develop a local workspace, read local Codex task history, and use the complete installed XcodeBuildMCP catalog through a small set of stable tools.

A single MCP server that orchestrates Expo CLI, Metro, and adb for local Expo project management, including device interaction and session summaries.

Turns your local machine into an MCP server with a GUI, allowing agents to execute file operations, run commands (including admin), manage background processes, and query databases, with optional ngrok exposure.

Enables ChatGPT Web Developer Mode to securely read, search, list, and edit files inside user-approved local folders, and optionally run approved developer commands on the user's Windows machine.

Enables ChatGPT web to interact with local Windows/WSL shell and code workspaces via an MCP server, providing file access, shell execution, and snapshot-based workspace management with per-command authorization.

A local AI agent workspace that allows users to interact with simulated data files via custom slash commands and context mentions, powered by Google GenAI SDK and MCP.

A Windows MCP server for personal Notion Agent integration, providing file read, search, and modification tools in a selected workspace, with an optional trusted developer mode for Python, Git, Node, etc.

An unofficial self-hosted MCP server that enables ChatGPT to run commands on your computer through a secure tunnel, manage processes, and work within a specified project directory.

Enables MCP clients to run Cline CLI prompts and isolated repository-wide analyses, returning terminal text responses with model, duration, and usage/cost.

Enables AI agents to work with multiple local projects on Windows, providing file system access and PowerShell command execution, with project auto-detection and support for various dev tools.

Enables arithmetic operations (add, subtract, multiply, divide) through a custom Model Context Protocol implementation, containerized with Docker for easy deployment.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Minimal MCP server exposing a single tool, run_date, to execute the local date command via a Streamable HTTP endpoint.

Transforms AI coding assistants into context-aware developers by auto-detecting project context, remembering conversations, and executing commands safely with a multi-layer security model.

A comprehensive local file management and system operations server that provides advanced file editing, VSCode-like search capabilities, code formatting and validation, backup management, and safe system command execution with security safeguards.

Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.

Enables executing Python code, managing environments and packages, and performing file operations within Docker containers.