An MCP server that enables web search capabilities using OpenAI's o3 model, allowing AI assistants to perform text-based web searches and return AI-powered results.
Enables Large Language Models to play chess agentically with real-time HTML board visualization and a hybrid AI engine featuring ten difficulty levels. It supports interactive games between users and agents, including a web dashboard to monitor active matches.
An MCP server that enables natural language interaction with the Lichess chess platform, allowing users to play games, analyze positions, manage their account, and participate in tournaments through Claude.
A server that enables communication with multiple unichat-based MCP servers simultaneously, allowing users to query different language models and combine their responses for more comprehensive results.
Enables creation and management of structured game worlds for text adventures and RPGs with character creation, world generation, and natural language interaction through AI integration.
Connects MCP-powered AI agents to the decentralized Agent Network Protocol (ANP) for DID-based identity, agent discovery, and secure agent-to-agent communication.
Acts as an MCP gateway aggregating multiple child MCP servers into a single namespaced interface, with an optional memory layer that caches tool results to reduce redundant calls.
An MCP server that lets agents claim, work on, and finish units of work in a coordinated fleet, with lease and heartbeat protection, plus tools for orchestrators to define work and collect results.
An interface-independent task router for AI agents that selects the cheapest capable backend model via MCP, runs tasks headless, verifies results, and escalates on failure.
A Model Context Protocol server that exposes AI workflow templates as callable tools, enabling MCP clients to list templates, inspect their input/output schemas, and execute them synchronously or asynchronously to get structured results.
MCP server that bridges Claude with KiloCode, enabling Claude to act as architect and delegate coding tasks to Kilo's fast CLI agent while monitoring progress and reviewing results.
Enables coordinating specialist agents through an event-driven backend, allowing submission of goals, retrieval of job status and results, and listing of jobs via MCP tools.
Implements a distributed AI worker pattern over MCP, enabling clients to register as workers, poll for tasks, process prompts with AI, and submit results back to the server continuously.