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A powerful orchestration layer for Model Context Protocol (MCP) servers that enables AI assistants to dynamically discover, inspect, and interact with multiple MCP servers through a unified interface.

Provides LLMs with cognitive tools (Thinking Models), memory structures (Cells), and multi-agent patterns (Organs) for advanced reasoning, memory management, and orchestration. Automatically routes requests to appropriate strategies and generates custom agent blueprints.

Bridges Suunto watch data to AI assistants like Claude, enabling natural language queries about workouts, sleep, and recovery.

Automatically converts Swagger/OpenAPI specifications into MCP servers, enabling AI agents to interact with any REST API through natural language by exposing endpoints as AI-friendly tools.

Automatically converts Swagger 2.0 API specifications into MCP tools, enabling AI assistants to directly call REST APIs. Supports both local Swagger files and remote URLs with comprehensive parameter validation and error handling.

Enables AI assistants to discover, search, and interact with REST APIs by parsing OpenAPI/Swagger specifications with intelligent fuzzy search across endpoints, supporting both local and remote API sources.

A multi-agent orchestration system that enables multiple Claude instances to collaborate through a centralized hub with a shared workspace and real-time communication. It features integrated task management, role assignment, and persistent memory to facilitate complex, synchronized agent workflows.

MCP server for AI agent affiliate attribution and commission tracking. 7 tools for program discovery, conversion tracking, attribution token verification, and commission queries.

A Model Context Protocol server that enables AI assistants to manage downloads, search for torrents, and monitor download statistics on a Synology NAS.

Synter gives AI agents full control over 14 ad platforms, create campaigns, adjust budgets, generate creatives, and pull performance data across Google, Meta, LinkedIn, TikTok, Reddit, and more. The only cross-platform ad MCP server with read and write capabilities.

Enterprise-grade MCP server for intelligent task management with 0-100 evaluation scoring, session-based workflow tracking, and real-time status monitoring for AI assistants.

Model Context Protocol server exposing system prompt files and summaries.

A bank account for AI agents. Five accounts. Earn, borrow, invest, exchange — autonomously.

Enables AI assistants to securely query and manage Okta resources for IAM and security administration. It supports dual-mode operation for standard tool interaction or autonomous agent workflows with sandboxed code execution.

A Model Context Protocol server that integrates TAK Server with AI systems, providing geospatial-aware tools for querying, analyzing, and interacting with tactical data.

The interface protocol for AI agents. 8 kernel primitives + 16 stdlib operations to operate any interface. Forge once, run forever — zero AI at runtime. 81 skills across 41 sites.

Enables AI agents to interact with Tapp Exchange, a decentralized exchange on Aptos blockchain. Supports pool management, trading operations across AMM/CLMM/Stable pools, liquidity provision, and position tracking through natural language.

Enables AI assistants to delegate specific tasks to specialized sub-agents (e.g., test-writer, code-reviewer). Supports both Cursor and Claude Code with custom agent definitions.

Enables AI agents to autonomously manage and improve execution processes for repetitive task types by storing reusable task contexts with associated artifacts (practices, rules, prompts, learnings) and providing full-text search across historical best practices.

A task management Model Context Protocol server that helps break down user requests into manageable tasks with subtasks, dependencies, and notes, while enforcing a structured workflow with user approval steps.