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Reduces language model token consumption by efficiently caching data between interactions.
Enables MCP clients to coordinate with other agents in virtual rooms using the Room protocol.
Enables AI agents to securely purchase goods and services using Fewsats.
Provides real-time stock market data and options analysis for LLMs via the Model Context Protocol.
Locates nearby places using IP-based geolocation and the Google Places API.
Securely executes pre-approved commands using the Model Context Protocol.
Enables Large Language Model (LLM) agents to interact with local filesystems and web resources through defined operations.
Enables access to Oracle databases via the Model Context Protocol.
Converts the MCP protocol's SSE transport layer to standard HTTP requests and responses.
Enables AI agents to send and receive Signal messages through a signal-cli integration.
Track personal finances and spending habits through natural language conversations with an LLM.
Offers Korean spell checking capabilities through an MCP server.
Compiles YAML specifications into semantic LLM tools with structured memory and an emergent knowledge graph.
Enables AI agents to intelligently construct buildings, manage gameplay, and design structures within Minecraft.
Enables AI models to execute any open-source tool through the Model Context Protocol.
Enables interaction with X/Twitter through natural language commands within AI tools.
Connects Claude Desktop to Agent-to-Agent protocol agents through a lightweight Python bridge.
Provides access to cryptocurrency market data from the Nobitex API.
Provides an HTTP-based Model Context Protocol (MCP) server with SSE and streamable support.
Automates hash cracking using natural language through integration with Claude Desktop.
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