"Dash" matching MCP servers:

An intelligent server that transforms local Dash documentation into a context-aware assistant for Claude, providing developers with seamless access to documentation while coding.

Enables running one Codex CLI task at a time in an isolated temporary folder, returning Codex's answer and a manifest of produced files for manual review and selective copying.

Sandboxed bash execution MCP server for AI agents, using an in-memory virtual filesystem overlay to prevent real filesystem damage, with configurable network access, timeouts, and optional Python/JS runtimes.

MCP server wrapping DeepSeek's agent harness tools into minimal/standard modes, enabling persistent shell, file editing, search, job management, and more via natural language.

A cheap, fast execution layer for MCP agents that delegates file reads, edits, and command runs to a local DeepSeek Harness, reducing cost and latency while keeping the parent agent in control of planning and reasoning.

Exposes WSL bash as a structured tool to MiniMax Code, returning stdout, stderr, exit code, duration, and classification from a single call. Adds command safety classification, audit logging with rotation, concurrency limits, and binary discovery for agents running shell commands.

Enables Codex to delegate coding tasks to DeepSeek Harness (DSH) for file reading, editing, and checking, while Codex handles planning and review. It manages scheduled workflows with concurrency safety and acceptance evidence.

Enables Open WebUI to execute bash commands for coding tasks in a persistent projects workspace, with configurable timeouts and output limits.

Enables executing Bash commands, pipelines, and scripts across Windows, macOS, and Linux via MCP, with support for multiple runtimes, timeouts, working directories, and stream capture.

Enables basic mathematical operations through MCP protocol with add and multiply tools. Built with fastmcp 2.0 and optimized for serverless deployment on Vercel.