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Provides a server template for deploying custom tools and resources on Vercel.
Provides a specialized Model Context Protocol (MCP) server for efficient searching, reading, and analysis of discussions on the official GitLab community forum.
Enables Large Language Models to interact with GitHub repositories through a standardized Model Context Protocol interface.
Implements a Model Context Protocol (MCP) server that manages and summarizes text notes.
Facilitates secure and structured assimilation of experiences, thoughts, and reasoning processes between multiple AI models.
Provides a Multi-Agent Conversation Protocol (MCP) server for the Notion API, auto-generated from its OpenAPI specification.
Provides IDA Pro documentation access via an MCP (Machine Code Processor) server to assist with plugin and script development.
Provides persistent memory functionalities for AI conversations through a Model Context Protocol server.
Integrates Asana with Model Context Protocol (MCP) clients, such as Anthropic's Claude, enabling AI models to interact with and retrieve information from Asana.
Executes authorized shell commands remotely with support for standard input and comprehensive output.
Connects AI agents to remote Git repositories to fetch and search markdown documentation and notes.
Demonstrates integration between Claude Desktop and an MCP server.
Enables LLM applications to perform verifiable credential operations, including issuance, verification, and revocation, within the HiveAuth ecosystem.
Provides timezone conversions and time-related operations using the Model Context Protocol.
Integrates Browserbase's headless browser capabilities with large language models (LLMs) via the Model Context Protocol (MCP).
Equips Large Language Models (LLMs) with precise time awareness capabilities.
Enables AI assistants to interact with Asana for task and project management through the Model Context Protocol.
Enables AI assistants to directly save notes to a user's Flomo account via the Model Context Protocol (MCP).
Interfaces with the Spotify API using the Model Context Protocol (MCP).
Analyzes log files by creating an SQLite database and interacting with it using the Model Context Protocol (MCP) SQLite server.
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