MCPs tagged with automation
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mcp-cli
A command-line inspector and client for the Model Context Protocol
mcp-cli is a command-line interface tool designed to interact with Model Context Protocol (MCP) servers. It allows users to run and connect to MCP servers from various sources, inspect available tools, resources, and prompts, and execute commands non-interactively or interactively. The tool supports OAuth for various server types, making integration and automation seamless for developers working with MCP-compliant servers.
- ⭐ 391
- MCP
- wong2/mcp-cli
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anki-mcp
MCP server for seamless integration with Anki via AnkiConnect.
An MCP server that bridges Anki flashcards with the Model Context Protocol, exposing AnkiConnect functionalities as standardized MCP tools. It organizes Anki actions into intuitive services covering decks, notes, cards, and models for easy access and automation. Designed for integration with AI assistants and other MCP-compatible clients, it enables operations like creating, modifying, and organizing flashcards through a unified protocol.
- ⭐ 6
- MCP
- ujisati/anki-mcp
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MCP Linear
MCP server for AI-driven control of Linear project management.
MCP Linear is a Model Context Protocol (MCP) server implementation that enables AI assistants to interact with the Linear project management platform. It provides a bridge between AI systems and the Linear GraphQL API, allowing the retrieval and management of issues, projects, teams, and more. With MCP Linear, users can create, update, assign, and comment on Linear issues, as well as manage project and team structures directly through AI interfaces. The tool supports seamless integration via Smithery and can be configured for various AI clients like Cursor and Claude Desktop.
- ⭐ 117
- MCP
- tacticlaunch/mcp-linear
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Notion MCP Server
Enable LLMs to interact with Notion using the Model Context Protocol.
Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.
- ⭐ 834
- MCP
- suekou/mcp-notion-server
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Spotify MCP Server
A lightweight MCP server enabling AI assistants to control Spotify playback and manage playlists.
Spotify MCP Server is a lightweight implementation of the Model Context Protocol that allows AI assistants, such as Cursor and Claude, to control Spotify playback and manage playlists. It provides a set of tools for searching music, managing playback state, handling playlists, and accessing user-specific track data. The server integrates seamlessly with productivity assistants and editors to facilitate contextual music control via standardized protocols. It includes authentication, Spotify API configuration, and detailed operations for reading and updating playback context.
- ⭐ 179
- MCP
- marcelmarais/spotify-mcp-server
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Confluence Communication Server MCP Server
Seamlessly interact with Confluence using standardized MCP tools.
Confluence Communication Server MCP Server is a TypeScript-based implementation that enables seamless interaction with Confluence through the Model Context Protocol. It provides tools for running CQL queries, retrieving, and updating Confluence page content, thus showcasing and adhering to core MCP concepts. The server is compatible with Claude Desktop and supports installation via Smithery, emphasizing ease of integration and automation for Confluence management tasks.
- ⭐ 13
- MCP
- KS-GEN-AI/confluence-mcp-server
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Kibela MCP Server
MCP server for seamless LLM integration with Kibela knowledge management.
Kibela MCP Server enables integration of Large Language Models (LLMs) with the Kibela note-sharing platform via the Model Context Protocol. It provides search, retrieval, and management of Kibela notes, users, groups, and folders, exposing these capabilities in a standardized MCP interface. The implementation utilizes Kibela's GraphQL API and supports configuration through environment variables and Docker. Designed for interoperability with tools like Cursor, it streamlines access and manipulation of organizational knowledge by AI systems.
- ⭐ 7
- MCP
- kiwamizamurai/mcp-kibela-server
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Mac Apps Launcher MCP Server
Launch and manage macOS applications via an MCP server.
Mac Apps Launcher MCP Server enables the listing, launching, and management of macOS applications through the Model Context Protocol. Designed to integrate with systems supporting MCP, it provides standardized methods to enumerate app folders, launch apps by name, and open files with specified applications. Configuration details are provided for integration with Claude Config JSON.
- ⭐ 16
- MCP
- JoshuaRileyDev/mac-apps-launcher
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TickTick MCP Server
Enable powerful AI-driven task management for TickTick via the Model Context Protocol.
TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.
- ⭐ 35
- MCP
- jen6/ticktick-mcp
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Make MCP Server (legacy)
Enable AI assistants to utilize Make automation workflows as callable tools.
Make MCP Server (legacy) provides a Model Context Protocol (MCP) server that connects AI assistants with Make scenarios configured for on-demand execution. It parses and exposes scenario parameters, allowing AI systems to invoke automation workflows and receive structured JSON outputs. The server supports secure integration through API keys and facilitates seamless communication between AI and Make's automation platform.
- ⭐ 142
- MCP
- integromat/make-mcp-server
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gqai
Expose GraphQL operations as Model Context Protocol (MCP) tools for AI models.
gqai is a lightweight proxy that converts GraphQL operations into MCP-compatible tools, enabling integration with AI systems such as ChatGPT, Claude, and Cursor. It automatically discovers and exposes GraphQL queries and mutations as callable tools via an MCP server, powered by your existing GraphQL backend. Configuration is managed via standard .graphqlrc.yml and .graphql files, with support for dynamic endpoints and environment variables.
- ⭐ 21
- MCP
- fotoetienne/gqai
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mcp-miro
Model Context Protocol server for integrating MIRO Whiteboard with AI workflows.
mcp-miro is a Model Context Protocol (MCP) compliant server that connects the MIRO Whiteboard Application to AI-based systems, such as Claude Desktop. It enables board manipulation, sticky note creation, bulk operations, and more through standardized MCP interfaces. Users can authenticate via OAuth and interact with MIRO boards programmatically for collaborative whiteboarding and automation tasks. The server can be installed using Smithery or mcp-get and supports debugging with the MCP Inspector.
- ⭐ 97
- MCP
- evalstate/mcp-miro
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keep-mcp
Connect Google Keep notes to the Model Context Protocol ecosystem.
Provides an MCP server interface for Google Keep, enabling standardized interaction with Keep notes via the Model Context Protocol. Allows users to search, create, update, and delete Google Keep notes through MCP, supporting integration with MCP-compatible platforms. It restricts modification and deletion operations to notes managed by the MCP server unless configured otherwise. Credentials for Google authentication are securely handled through environment variables.
- ⭐ 52
- MCP
- feuerdev/keep-mcp
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TickTick MCP
MCP server for AI-powered TickTick task management integration
TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.
- ⭐ 6
- MCP
- ekkyarmandi/ticktick-mcp
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mcp-graphql
Enables LLMs to interact dynamically with GraphQL APIs via Model Context Protocol.
mcp-graphql provides a Model Context Protocol (MCP) server that allows large language models to discover and interact with GraphQL APIs. The implementation facilitates schema introspection, exposes the GraphQL schema as a resource, and enables secure query and mutation execution based on configuration. It supports configuration through environment variables, automated or manual installation options, and offers flexibility in using local or remote schema files. By default, mutation operations are disabled for security, but can be enabled if required.
- ⭐ 319
- MCP
- blurrah/mcp-graphql