One shared context your team's AI tools read & write over MCP. No re-explaining. Free.

Read, write, search, and surgically edit Obsidian vault notes, tags, and frontmatter via MCP. STDIO or Streamable HTTP.

MCP server for AI agents that need a phone number: order a private number in 200+ countries, read the SMS verification code, hand it back. The widest country coverage in the category, and you can check it with one API call.

🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️

Memory for coding agents — Claude Code, Codex, Cursor and 17 others. Indexes the sessions they already wrote to disk, including months from before you installed it, and recalls them in any of them. No LLM, no embeddings, one local Go binary.

GeneXus 18 MCP server — read, edit, and analyze GeneXus knowledge base objects (transactions, web panels, procedures, SDTs) directly from Claude, Cursor, and other AI agents over the Model Context Protocol.

MCP server that lets AI agents (Claude Code, Claude Desktop, Cursor, Copilot, Codex) build, run, inspect, and publish browser extensions. 30 tools for scaffolding, live DOM inspection, log streaming, and store-ready builds across Chrome, Edge, Firefox, Sa

Catch up on Slack without reading it. Unreads, threads, search. Browser-session or hosted OAuth.

Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo

Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read

Control what your AI can see. LeanCTX (Lean Context) is the context intelligence layer for AI agents — one local Rust binary that decides what they read, remembers what they learn, guards what they touch, and proves what they save. 60–90% fewer tokens as the receipt. 76 MCP tools, 30+ agents, local-first.

The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.

x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros

Local-first AI coding memory for AI agents. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.

MCP server for Guesty property management — 43 registered tools (23 free read-only Guesty tools available today) + 7 addressable resource templates covering reservations, guests, messaging, pricing, revenue, tasks, webhooks, and IoT/property-health.

A Model Context Protocol (MCP) that allows Claude Desktop and other AI tools (Claude Code, Cursor, Antigravity, etc.) to read, analyze, and modify Figma designs

An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.

Network Sketcher is an AI-ready network design tool with Local MCP, Online, and Offline editions for creating network designs and exporting PowerPoint diagrams and Excel-based configuration data.

Full-featured, multi-account MCP email server for Windows, macOS, and Linux—read, search, organize, and send email via IMAP and SMTP.

Let ChatGPT, Claude, Cursor & any MCP client actually use your Mac — read & reply to email, manage your calendar, text over iMessage, find files, work with Teams, Slack & Office. On your Mac, no API keys, free.

A real design engine for your AI agent: generate designs and print-ready PDFs, over MCP.

A long-term memory system built for AI Agents. Agent wakes up already knowing who he is, not querying "who am I?" every session. Every turn calling back accurate memory context. Achieving accurate memory hits while also preventing memory from expanding at scale. No compression, no forgetting.

Privacy-first work tracking with summaries, reports, coaching, and AI-ready long-term memory.