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Retrieves and analyzes Sentry issues, providing detailed information about errors in applications.
Connects Model Context Protocol (MCP) servers to OpenAI-compatible LLMs like Ollama.
Enables LLMs to execute Python code, manage files, and interact with Python environments.
Manage Asana tasks and projects programmatically using the Model Context Protocol.
Retrieves user profiles from Microsoft Graph using the Model Context Protocol (MCP).
Encodes and decodes strings using the Model Context Protocol (MCP).
Buy and manage domains through a Model Context Protocol (MCP) server.
Provides a set of servers alongside a Streamlit chatbot for interacting with MCP functionalities.
Filters text data with a powerful rules engine to protect data and enforce policies when using Large Language Models.
Provides narrative, character, and archetypal storytelling tools to AI assistants.
Enables filesystem operations using natural language commands processed by a local LLM.
Exposes PubNub SDK documentation and API resources to Large Language Model (LLM)-powered tools, enhancing their ability to interact with PubNub.
Provides advanced browser automation for viewport management, screenshot capture, and content extraction.
Quickly record notes from the command-line, organized as Markdown files with YAML frontmatter, and interact with AI assistants via the Model Context Protocol.
Powers an Model Context Protocol (MCP) server with documentation sourced from a local file system.
Find rental properties on daft.ie using an MCP client.
Provides a Ruby server implementing the Model Context Protocol (MCP) for filesystem operations.
Provides a type-safe Node.js and TypeScript library for interacting with the BambooHR API.
Integrates with the Google Places API to search, retrieve details, and find nearby places.
Converts OpenAPI documentation to Markdown format for LLM accessibility.
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