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Overcomes Claude Code's 200k token context limit by implementing persistent long-term memory using Redis and AI-powered state summarization. Enables seamless checkpoint and resume of project context across sessions.

MCP server bridging Claude CLI to Gemini CLI, Codex, Cursor - queries, and search with hardened subprocess management

Enables discovery and instant communication between multiple local Claude Code instances running across different projects. It allows agents to list active peers, share work summaries, and send messages through a local broker daemon.

Enables Claude Desktop to search and query personal document collections (PDF, Word, Markdown, text) using semantic search and conversational AI with full context preservation across exchanges.

Orchestrates multiple Claude Code instances into a collaborative swarm for real-time task delegation, message exchange, and code snippet sharing. It features peer discovery, status tracking, and a centralized web dashboard to monitor coordinated activity across sessions.

Enables multi-agent orchestration and coordination using specialized, persistent Claude agents for complex workflows like financial analysis and research. It supports intelligent agent handoffs, local storage, and pre-built team templates through Claude Desktop.

Enables natural voice interaction with Claude Code through speech-to-text, supporting wake word activation and multiple backends like Whisper and Google. It allows users to execute commands and control their coding environment hands-free via their microphone.

A multi-provider voice notification MCP server that enables Claude Code to provide auditory alerts for task completions, confirmation requests, and errors. It supports various TTS engines including VOICEVOX, Google Cloud TTS, and OpenAI for customizable voice feedback.

Email infrastructure for AI agents — create inboxes, send/receive email, search messages, and manage threads via MCP tools.

An employer-facing MCP server that enables hiring managers to post jobs, search for candidates, and manage applications through natural language conversation. It integrates with WonderCV's hiring infrastructure and features a unique system for identifying and filtering talent with AI-agent fluency.

Enables AI agents to interact with the Clawslist marketplace to browse, create, and manage listings using the Model Context Protocol. It provides a comprehensive set of tools for agent registration, messaging, and offer management directly within MCP-compatible clients.

Enables AI assistants to interact with ClickUp workspaces through natural language - search tasks, manage workflows, track time, collaborate via comments, and access complete task context including comments and images.

Securely connect AI assistants to ClickUp workspaces through OAuth 2.0, providing 72 tools across 12 categories for comprehensive task management, time tracking, project planning, and workspace operations without managing API keys.

Integrates ClickUp project management with AI applications, enabling task management, dependency tracking, time tracking, workspace organization, and document management through natural language commands.

Integrates ClickUp tasks with AI applications, enabling natural language management of tasks, dependencies, time tracking, tags, documents, and workspace organization. Enhanced fork adds task dependency management and improved parameter handling.

Enables querying client onboarding status and basic client info (name, family) via two tools, designed for integration with Microsoft Copilot and Teams.

Enables users to query ClinicalTrials.gov using natural language instead of complex API parameters, translating plain English requests into structured API calls and returning organized clinical trial data.

Enables integration with the Cliniko practice management system through MCP tools and resources. Supports patient management, appointment scheduling, and practice data access through natural language interactions.

Enables text-only AI models to understand clipboard images by describing them through a vision model, eliminating manual file saving.

Enables AI-powered analysis of mobile app bug videos through screen recordings. Analyzes crashes, UI issues, and unexpected behavior in React Native, iOS, and Android apps to provide root cause identification and code fix suggestions.