An MCP to overcome the issues I was having with opencode's bash tool

🐚 Ag-Bash: The AI-Native Shell Gateway. A production-grade, sandboxed Bash environment designed for AI agents. Features high-fidelity Tree-sitter AST parsing, automated agentic observability (AgTrace), and cross-platform MCP support.

Let an Assistant Core assistant run bash commands on your machine through a local connector (MCP)

A robust subprocess execution MCP

MCP server for sandboxed bash execution with session persistence

A Rust MCP server for spawning and managing bash commands asynchronously. Run multiple shell commands in parallel and check their progress independently.

Local MCP server that runs shell/bash commands on your machine — a run_bash tool for Claude Desktop & Cowork over stdio or streamable-HTTP. Python, FastMCP, MIT.

A simple model context protocol (MCP) server that allows Claude Desktop or other MCP aware clients to run Bash commands on your local machine.

MCP server for bash.dog — let your AI agent submit, search and browse funny AI quotes (like bash.org for the age of AI). Self-registration, no human needed.

run bash commands as tasks, with interactive input handled.

Run Linux-style commands on Windows via deterministic bash→PowerShell translation. No VM, no WSL. MCP server + CLI built for AI agents (Claude Code, Codex, OpenCode...). GNU-style output, bash-style errors, UTF-8/GBK handled.

Your computer served on a platter. Read, Write, Edit, Bash, Glob, and Grep as an MCP server.

This project provides an MCP (Model Context Protocol) server that allows LLMs to perform actions to control a Mac desktop computer using bash and AppleScript.

Fake data for the rest of us — bash-first generator with MCP server for Claude Code

Handoff and integration protocol for parallel coding agents on a reusable worktree pool. Bash CLI + MCP facade, no AGENTS.md edits needed.

Hands-on bash lab for Linux internals, networking, and debugging. Homelab reference with seven topic dirs (PCIe/IRQs, disk I/O, network stack, memory, perf, app debugging, network debugging) plus an MCP server.

Executable compound practice loop: capture failures and decisions, surface them at the moment of action, and measure whether warnings prevent repeats. Bash CLI + MCP server.

Shared console MCP server for any shell (bash, pwsh, cmd) — AI and user work in the same terminal. Real-time command visibility, interactive prompt support, session persistence, multi-shell management with automatic cwd handoff.

Shared console MCP server for any shell (bash, pwsh, cmd) — AI and user work in the same terminal. Real-time command visibility, interactive prompt support, session persistence, multi-shell management with automatic cwd handoff.

Shared console MCP server for any shell (bash, pwsh, cmd) — AI and user work in the same terminal. Real-time command visibility, interactive prompt support, session persistence, multi-shell management with automatic cwd handoff.

Hook-based token compressor for 7 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI, Pi, Hermes). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.

GitHub CLI tools for AI coding agents, served over MCP. A read server and an opt-in write server for PRs, issues, CI runs, jobs, commits, search, labels, projects, releases, and repo files, plus hooks that redirect raw gh bash calls to the tools. Packaged for Claude Code, Codex, and pi.

A pluggable MCP server written in Bash and jq

🤖 An MCP server that serves custom AGENTS.md files and bash scripts. 🖥️

<p align="center"> <img src="https://cdn.simpleicons.org/cardano/0033AD" width="80" /> </p> <h1 align="center">Cardano MCP Server</h1> A **Model Context Protocol (MCP) server** for interacting with the Cardano blockchain from AI agents and automation systems. This server exposes wallet-aware tools for: - Submitting transactions - Fetching addresses - Reading UTxOs - Fetching balances - Resolving ADAHandles - Checking stake delegation ## Secrets 1. Copy the `.env.example` file to a new file `.env` 2. Specify your seed-phrase (`SEED_PHRASE`). Your seed-phrase is NEVER exposed to LLMs, and is only used for local wallet connection. 3. Configure the wallet connection details. Specify a Blockfrost Project ID (https://blockfrost.io/), or a Kupo & Ogmios URL. ## Docker Installation Build the container ```bash docker build -t cardano-mcp . ``` Run with your secrets ```bash docker run -p 8000:8000 \ -e PORT=8000 \ -e SEED_PHRASE="lizard,llama,frog..." \ -e BLOCKFROST_PROJECT_ID="your_blockfrost_key" \ cardano-mcp ``` ## Manual Installation Clone this repository ```bash git clone https://github.com/IndigoProtocol/cardano-mcp.git ``` Install dependencies ```bash cd cardano-mcp npm install ``` Build & Run ```bash npm run dev - or - npm run build npm run start ``` ## Connecting The URL for the Cardano MCP server will be hosted at http://localhost:8000/mcp ### Claude Desktop Configuration Add to `~/Library/Application Support/Claude/claude_desktop_config.json`: ```json { "mcpServers": { "cardano": { "command": "node", "args": ["/path/to/cardano-mcp/dist/index.js"], "env": { "SEED_PHRASE": "lizard,llama,frog..." "BLOCKFROST_PROJECT_ID": "mainnet123..." } } } } ``` ## Disclaimer By using this Cardano MCP Server and all related tools and technology (“MPC”), you acknowledge and agree that (i) your use of decentralized finance, including MPC and/or AI agents that you empower to manage your digital assets, involves various significant financial risks, including but not limited to, the risk of financial loss caused by MPC design or instructions, impermanent loss, and changes in digital asset prices; and (ii) that you are solely responsible for all MPC actions and transactions, and for securing your seed phrase, private keys, and environment configuration.

Hardened MCP server for Windows CLI (PowerShell, CMD, Git Bash) and SSH. Maintained fork of @simonb97/server-win-cli.

Agent-feels-local SSH orchestration MCP server — persistent bash, hash-protected editing, SFTP, tunnels, multi-host orchestration over AsyncSSH

A simple Bash JSON-RPC MCP server for sending desktop notifications via notify-send or MacOs native notification center . Supports listing tools and showing notifications with customizable title and message.

Pay-per-call crypto intelligence API using x402 protocol. Funding rates, carry signals, divergences — /bin/bash.01 USDC/call on Base. MCP server included.

Token-efficiency plugin for Claude Code and Codex: MCP tools and hooks that replace high-volume Read/Grep/Edit/Bash calls with compact equivalents, powered by @ashlr/core-efficiency.

Command relay for remote shells. Push commands from an LLM, CI runner, or any HTTP client to a machine with only curl + bash, in supervised mode with per-command approval or unattended auto mode. No SSH port, agent, or inbound access required.

Clipboard tools for AI coding agents: a Bash MCP server with clipboard_copy and clipboard_copy_file, native backends with an OSC 52 fallback over SSH, and hooks that point agents to the tools instead of pbcopy. Plugin for Claude Code and Codex, package for Pi.

Anthropic API based research Agent for linux (tested on Ubuntu Studio 26.04 LTS). Functions as a CLI agent, MCP Client and an MCP Server and can run any command as your user on your linux box using bash. No prompt approvals. No babysitting. An unrestricted AI development experiment.

Prompt-injection defenses for Claude Code. A PreToolUse Bash hook blocks compositional credential-exfiltration shapes (secret read plus network, env dump to network, remote script to shell, reverse shells). A sanitizing MCP server wraps untrusted URLs and files in sentinels, strips invisible unicode, flags jailbreaks.

ASTRA MCP is a powerful MCP server that connects AI assistants to your Linux system. It allows AI assistants to run regular and interactive command-line programs, create and execute regular and interactive shell scripts, and create and run interactive and non-interactive scripts written in Python, Ruby, JavaScript (Node.js), Perl, Bash, C, and C++.

# Fashion E-Commerce Intelligence MCP Server Empower your AI agents, copilots, and assistants with vertical domain-specific fashion intelligence. Built by [alexgenovese.com](https://alexgenovese.com), this Model Context Protocol (MCP) server provides automated **SEO auditing, category trend research, DTC demand forecasting, CRM segment enrichment, and campaign creative generation**—designed natively for Cursor, Claude Desktop, Claude Code, and any MCP-compatible environment. --- ## ⚡ What It Does | Capability | Without this server | With Fashion MCP | |---|---|---| | **SEO Auditing** | Manual checklists, generic advice | Automated **0-100 score** across 5 dimensions with fashion-specific validation (fit, material, color, season, schema, OG, Twitter Cards). | | **Trend Research** | Generic search queries | Deep category-level trend intelligence (trending keywords, colors, silhouettes, price tiers, market fit, confidence). | | **Demand Forecasting** | Spreadsheets & gut feel | Explainable weighted-rule forecast model: `baseline × trend × media × retention × inventory × seasonality` with backtesting. | | **CRM Segment Enrichment** | Static email lists | Customer segments enriched with trending colors/silhouettes/keywords, audience clusters, and ready-to-send targeted messaging. | | **Campaign Creative** | Standard copywriters per channel | Platform-specific campaign themes, hooks, value propositions, and ready-to-use creative briefs grounded in real-time trend data. | --- ## 🔧 Exposed Tools - `product_seo_audit`: Audit any fashion product listing for SEO best practices, structured schema, meta tags, and fashion relevance (fit, size, material). - `fashion_trend_analysis`: Analyze fashion trend data mapped from search engine and social media queries. *(Receives search data input seamlessly, no API key required)*. - `fashion_category_demand_outlook`: Get a rapid, light demand pulse check for a specific product category in a target market and season. - `fashion_dtc_forecast_analysis`: Generate complete DTC demand forecasts with scenario planning (base/upside/downside) and stock-out/overstock risk analysis. - `fashion_customer_trend_enrichment`: Map trending keywords, colors, and silhouettes onto existing CRM customer segments for targeted email/SMS campaigns. - `fashion_campaign_theme_recommendation`: Recommend conversion-optimized ad campaign themes, hooks, and creative briefs for Meta, Google, TikTok, or Email. --- ## 🔐 Privacy & Technical Features - **No API Keys Required:** All analysis, SEO audits, demand forecasts, and CRM enrichment tools run locally with the data you supply. Upstream search data for `fashion_trend_analysis` uses your existing Tavily MCP server. - **Explainable Outputs:** Every tool returns explicit `assumptions[]`, `dataGaps[]`, and `confidence` scores, so your agent always understands the reasoning behind recommendations. - **Zero-Config Local Cache:** Uses a local SQLite persistence layer (`~/.fashion-mcp/store.db`) to cache snapshots, feature stores, and forecast actuals for backtesting. ## 💻 Local Installation To install this stdio-based server locally via Smithery: ```bash npx smithery install alexgenovese/ecommerce-fashion-market-analysis ```

Super Shell MCP

pty-mcp-server

MCP Tool Server – Cross-Platform & Project-Aware Command Runner.

MCP server for executing shell commands across multiple platforms

A simple MCP server for managing REPL sessions.

Four Model Context Protocol (MCP) servers in a single Rust binary.

Explores the creation of a MCP server using JavaScript to generate PlantUML diagrams from a technical specification.

Never lose a command's output again — searchable, per-command terminal scrollback recorder

ClawTools AI Agents 2026 - Ultimate Autonomous Tool Layer for GitHub Developers

Terminal, filesystem, and background-job tools for Claude Desktop on Linux. Zero-dependency MCP extension, MIT-licensed.

Your shell history, searchable by meaning, with proof of what worked. For you and your AI agents.

Fauxnix — run Linux-style commands on Windows via deterministic PowerShell translation. No VM, no WSL. MCP server + CLI for AI agents.

AI-assisted git history refactoring via MCP — safe interactive rebase, fixup commits, and amendments without leaving your repo in a broken state

🔊 Hear how developers actually pronounce kubectl, nginx, GIF & 1,900+ tech terms. Sourced dictionary + CLI + VS Code + GitHub Action + MCP + Agent Skill.

A compact Rust MCP toolbox for filesystem access, HTTP fetches, persistent memory, local process execution, reusable skills, and provider-backed local subagents.

MCP Server for Claude Code Session Insight — structured data extraction with LLM synthesis guidance

MCP Server for Claude Code Session Insight — structured data extraction, git log collection, and LLM synthesis guidance

RAT (Remote Agent Terminal): persistent shells for AI agents over MCP and mutual TLS, tmux under the hood, with an operator kill switch

A secure Model Context Protocol (MCP) server for executing commands in Windows Subsystem for Linux (WSL) with built-in safety features and validation

Persistent, stateful remote SSH sessions for AI agents via MCP. Keep cwd, env & shell state across commands — powered by your local OpenSSH. Works with Claude, Cursor & any MCP host.

High-performance zero-dependency static analysis tool enforcing NASA Power of Ten rules across 20 programming languages, plus AI agent skill, MCP server config, prompt template, and LLM model security auditing.

A Claude Code plugin that checks every file and shell call an AI agent makes, fixes what it safely can, and tells the agent how to fix the rest. Windows and macOS.