Descubre nuestra colección curada de servidores MCP para productivity & workflow. Explora 5105 servidores y encuentra los MCP perfectos para tus necesidades.
Enables Claude Code to leverage Gemini AI by integrating with the local Gemini CLI tool.
Connects AI assistants to Nextcloud instances, providing comprehensive tools for managing notes, calendars, contacts, tables, and WebDAV file operations.
Aggressively compacts and recycles context for Claude Code, saving tokens by structuring web research, task outputs, and conversations into efficient snapshots.
Enables AI assistants to manage Gitea and Forgejo repositories, streamlining development workflows.
Empowers AI agents to discover, create, and execute complex, multi-step workflows defined in simple YAML files.
Provides a comprehensive Model Context Protocol (MCP) server for seamless integration with the 1C:Напарник AI assistant.
Extracts video transcripts from popular platforms and performs comprehensive web scraping, crawling, and URL discovery.
Enables programmatic management of Gmail and Calendar data through the Model Context Protocol interface.
Integrates Fibery with LLM providers, enabling natural language interaction with your Fibery workspace.
Enables reading and chunking of Excel files, providing pagination support for efficient data access.
Extracts text and performs OCR on documents, including document text recognition, ID recognition, and invoice recognition.
Enables programmatic interaction with Trilium Notes through the Model Context Protocol.
Facilitates unconventional problem-solving by generating and organizing unreasonable thoughts.
Enables AI models to interact with Notion's API for advanced todo management and content organization.
Generates Whimsical diagrams from Mermaid markup using an LLM context via the Model Context Protocol.
Enables interaction with Dropbox via Model Context Protocol (MCP) clients.
Enables programmatic management of Gmail and Google Calendar functionalities through a Model Context Protocol (MCP) interface.
Enables AI assistants to manage Google Contacts, search the organization's directory, and interact with Google Workspace.
Enables LLMs to interact with Logseq graphs, create pages, manage blocks, and organize information programmatically.
Simplifies the integration of Model Context Protocol (MCP) server tools with LangChain in Python.
Scroll for more results...