MCP server directory

MCP server for SSH-based control of remote Linux, macOS, and Windows servers with 46 purpose-built tools instead of one generic command-runner: line-level file editing (no download/edit/upload round-trip), background task launch/monitor/kill, real sudo support, host aliases, recursive directory ops, archive create/extract, and full Unicode via SFTP (avoids PowerShell OEM code page corruption on Windows targets). `pip install cygnus-ssh-mcp` or `uvx cygnus-ssh-mcp`.

Local-first task bus for CLI-based AI agents. Route work, persist state in SQLite, and let Codex, Claude Code, and other agents collaborate through a shared MCP server.

MCP server that connects your IDE or AI assistant to GitHub Copilot CLI for code analysis, review, and batch processing

A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.

Parallel multi-model code review, security analysis, and AI debate with ChatGPT, Claude, and Gemini. Orchestrates multiple LLMs for compare, consensus, and OWASP Top 10 security checks.

Answers "why does this code exist?" by tracing any line back through the commit, GitHub PR description, and linked issues. Five tools: blame context, commit story, file history, commit search, and file contributors. `npx git-context-mcp`

Code Intelligence for Elixir: module search, function tracking, and PR attribution through tree-sitter AST parsing

Run GLM (Zhipu/Z.ai) as a real sub-agent inside Claude Code or GitHub Copilot. GLM gets its own agent loop (read/write/edit/run) on your repo — not a single LLM call — with peak-aware Opus-vs-GLM routing, diff/dry-run/git-revert oversight, and a usage ledger. ~10x cheaper than Opus. Requires a Z.ai GLM Coding Plan key.

24-tool MCP server for Claude Code that catches vague prompts before they waste tokens. Includes 12-category prompt scorecards, session history search with LanceDB vectors, cross-service contract awareness, correction pattern learning, and cost estimation.

An MCP tool that provides stock market data and analysis using the Yahoo Finance API.

Structured product data from the open web — Schema.org + AI extraction for e-commerce enrichment. Pay per call via Stripe. [shopgraph.dev](https://shopgraph.dev)

ComputerVision-based 🪄 sorcery of image recognition and editing tools for AI assistants.

Arch Linux MCP Server to the Arch Linux ecosystem of the Arch Wiki, AUR, and official repositories for AI-assisted Arch Linux usage on Arch and non-Arch systems. Features include searching Arch Wiki and AUR, getting package info, checking for updates, installing packages securely, and analyzing PKGBUILDs.

Provide coding agents direct access to Figma data to help them write Flutter code for building apps including assets exports, widgets maintenance and full screens implementations.

Developer toolkit: auto-detect stack for AI context files, catch port conflicts, validate .env schemas, spot docs drift, audit dependency licenses, and time coding tasks — 7 MCP tools, one install.

Local-first CLI and MCP wrapper for AI coding agents. Routes shell commands through `sage run --`, stores command history locally, and returns compressed terminal output to reduce context noise.

Ads MCP connects Claude, Cursor, or ChatGPT to your Google, Meta, TikTok, Reddit, LinkedIn, X, and Microsoft ad accounts, draft-first, so nothing goes live without you. Works with: Claude OpenClaw ChatGPT Perplexity Claude Code Codex Cursor Grok Gemini CLI Hermes n8n MCP Server > "My agent analyzed my account using Adkit, found what to optimize, and drafted all the changes on its own. I only had to click 'Approve'. The first 30 minutes already saved me 8 hours of work." "AdKit MCP has been extremely useful. I've been using my AI agent for a month now and last month I wanted to run an ad, I had to manually copy-paste csv, fix all the settings, spend hours. AdKit allows me to create and iterate on ads in a single prompt"

4 tools · Analyze account performance, connect_account

The bigger brands you compete with are not smarter. They just have a creative team. AdMakeAI gives you the same output, without the team, the agency, or the budget. Meta · TikTok · Pinterest · Shopify ready Brands testing 20+ new ads a month see 65% higher ROAS than the ones testing fewer than 10. That is the whole insight. Testing under 10 ads / monthBaseline ROAS Common Thread Collective Statlas · 170+ brands · May 2026 They're not smarter. They're just shipping 100x more. new ads / month at typical sub-$15K/mo Shopify brands

4 tools · Batch ad variations, Generate ad creatives

Your AI already knows millions of facts. adsOS gives it the judgement of experienced Marketing Directors, Performance Managers and channel specialists, so every recommendation is grounded in commercial reality, not generic internet advice. WHY WE DO THIS: adsOS provides a detailed free report based on your real numbers, not AI guesswork. We hope its quality earns your trust in our paid services. If your AI marketing is average - see what happens when you turn it up. Complete the first step in under a minute. You are starting an analysis.

6 tools · Build an annual marketing strategy, Forecast growth

A Model Context Protocol server that provides access to iTerm. You can run commands and ask questions about what you see in the iTerm terminal.

Structured planning, parallel execution in git worktrees, and deep validation for Claude Code. Turns a one-line objective into a validated DAG of modules executed by worker agents, each self-checked and cross-module-reviewed before merge-back. 7 MCP tools: `validate`, `validate_plan`, `memory_recall`, `memory_save`, `iteration_state` (per-run scoped, with stagnation/velocity/oscillation detection), `forge_logs`, `session_state`. Stdio-only. Zero telemetry.

Agenty AI exposes a Model Context Protocol (MCP) server that gives AI assistants like Claude, Cursor, and any MCP-compatible client direct access to browser automation tools. You can capture screenshots, generate PDFs, scrape web pages, extract structured data, convert pages to Markdown and more using LLM models In this article, I will covers how to connect to the Agenty’s MCP server and how to use each available tool. - An Agenty AI account and API key - An MCP-compatible client such as Claude Desktop, Cursor, Windsurf, or any tool that supports the Model Context Protocol - Node.js 18 or later if you are using the CLI or a local configuration file

6 tools · extract, markdown

A high-performance Rust reimplementation of WCGW for code agents, providing shell execution and advanced file management capabilities for LLMs via MCP.

Command line interface with secure execution and customizable security policies

A fully-featured coding agent that relies on symbolic code operations by using language servers.

AI 測試大師 — end-to-end QA loop over MCP. Drives pytest / Jest / Cypress / Go / Maestro from one surface; analyzes URLs (Web DOM) or live mobile screens (`maestro hierarchy`) to extract testable modules, generates runnable pytest or Maestro YAML with real selectors (not `# TODO` stubs), runs with auto-retry, then writes a prioritized `optimization-plan.md` ranked by evidence (flaky vs broken vs coverage gap). Mobile-first: iOS Simulator, Android Emulator, real devices, and BlueStacks (`QA_ANDROID_HOST=127.0.0.1:5555`). Install via `uvx mk-qa-master`.

A council of 49 specialist agents + 93 tools for every major AI CLI (Claude Code, Codex, Gemini, Cursor, Windsurf). Deterministic agents that optionally upgrade to LLM, a self-learning router, cross-CLI memory, and guards for dependency hallucinations and decision drift. No API keys; zero extra cost on subscriptions.

Pre-reasoned Bitcoin and macro market briefings with trend signals, confidence scores, and regime classification. 17 briefings covering BTC, Fed balance sheet, M2, Treasury yields, and cross-asset correlations.

MCP server for [quelllm.fr](https://quelllm.fr) — open-weights LLM catalog (250+ models with params, VRAM by quantization, tokens/sec, license). Tools: `list_models`, `get_model`, `compare`, `estimate_vram`, `estimate_cost` (API providers vs self-hosted hardware in EUR), `search_models`. Useful when picking a local model that fits your GPU/Mac.

Cross-border e-commerce product catalog for AI agents. Search 3M+ products across Singapore, SEA, and US markets with price comparison and deal discovery. Install via `npx @buywhere/mcp-server`.

Personal finance calculations across 7 countries (US, UK, CA, AU, AE, SA, India) plus Sharia-compliant Islamic finance (Zakat, Murabaha, Ijarah, Mudarabah, Hajj savings, halal stock screening). 17 tools wrapping the deterministic [calcnook](https://pypi.org/project/calcnook/) engine — income tax, SIP/EMI/loans, retirement, EOSG, VAT, currency formatting (incl. Indian lakh/crore), and BMI/BMR/TDEE. Zero API keys, pure stdlib. Install with `uvx calcnook-mcp`.

Quant tools + an NFL fantasy draft assistant for AI agents — Kalshi & Polymarket EV, edge, ADP. 22 tools: expected value, Kelly sizing, Bayesian updating, odds conversion, base-rate gaps and a same-game combo builder, plus a full fantasy draft board (ADP, best-available, player outlook, sleepers) — all free, no key. Pro adds cross-platform gap scanning, macro pulse, commodity and NFL edge models, and live edge alerts. Remote Streamable HTTP at `https://predictionmarketspicks.com/api/mcp/mcp` — nothing to install.

LinkedIn for AI assistants over an authenticated browser session — profiles, people/job/company search, feed, messaging, and gated writes (connect, message, post, react, comment) returned as structured JSON, with built-in rate limiting. `npx -y linkedin-mcp-tools`.

A DeepSeek MCP-like Server for Terminal