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Provides a persistent, high-performance memory system for Model Context Protocol (MCP) using libSQL.
Captures screenshots and performs OCR text recognition using two engines, with Japanese and English support.
Enables natural language management of Todoist tasks, projects, labels, and sections through Claude or other MCP-compatible LLMs.
Provides a personal assistant AI agent with tools for managing calendars, tasks, emails, and more.
Securely stores and retrieves API keys using the macOS Keychain, accessible across projects via the Model Context Protocol (MCP).
Integrates ClickUp task management with AI applications through the Model Context Protocol.
Provides streamlined access to Twitter data, including tweets, user info, and trending topics, via the RapidAPI platform.
Connects a Slack bot to Model Context Protocol (MCP) servers via SSE or Stdio.
Provides econometric modeling capabilities through R, enabling sophisticated data analysis.
Facilitates the easy running, deployment, and connection to Model Context Protocol servers.
Locates the path to the 'uv' utility.
Exposes database schemas and tables via an MCP server using FastAPI, ODBC, and SQLAlchemy.
Executes and queries Prolog code, and searches existing predicates.
Provides a Docker image for mcpo, exposing Model Context Protocol (MCP) servers as OpenAPI endpoints for OpenWebUI.
Enables AI assistants to interact with and execute Apple Shortcuts through the Model Context Protocol (MCP).
Manages Israeli bank accounts and transactions using the Model Context Protocol (MCP).
Enables Large Language Models to interact with and control a Game Boy emulator.
Facilitates intelligent content extraction and search from the Xiaohongshu platform.
Provides professional cryptocurrency technical analysis, real-time indicators, chart patterns, and trading signals for over 7 million tokens within Claude Desktop.
Simplifies the creation and operation of MCP servers and clients with minimal code.
Provides a reliable interface for AI assistants to access and query the EBI Ontology Lookup Service (OLS) for accurate ontological information.
Grounds AI coding assistants with local, official documentation for building reliable, secure, and observable AI agents with LangGraph.
Extends local LLMs with capabilities like web search, code execution, and persistent memory.
Integrates Kaseya Autotask PSA data and operations with AI assistants via the Model Context Protocol.
Orchestrates AI agents to autonomously handle complex, multi-step software development tasks.
Equips AI agents with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL).
Orchestrates multi-agent task coordination and file locking, combining issue tracking with built-in agent messaging for conflict-free development.
Provides AI assistants with programmatic access to the Midnight blockchain, enabling contract search, code analysis, and documentation exploration.
Triangulates customer support tickets and feature requests to help product managers decide what to build next.
Empowers AI agents to dynamically create, execute, and manage custom JavaScript tools within a secure, sandboxed environment for dynamic AI tool orchestration.
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