MetaMCP
Centralizes management of multiple AI services, providing secure API key handling and unified access...
Go to https://github.com/metatool-ai/metamcp
Visit the official MetaMCP repository for more details about the platform and its API.Log in or sign up with MetaMCP App
Access the MetaMCP App, which is typically required to manage your API keys and configurations. If you don't have an account, register for one.Obtain your MetaMCP API Key
- Inside the MetaMCP App, look for a section labeled "API Keys" or "Developer Settings".
- Generate a new API key if you do not already have one. This action is usually done by clicking a "Create", "Generate", or "New API Key" button.
- Copy the generated API key. It will only be shown once, so make sure to save it securely.
Fill in the value on the FastMCP connection interface
Use the "Install Now" button if available.- In the FastMCP connection interface, paste your API key into the field labeled
METAMCP_API_KEY.
- In the FastMCP connection interface, paste your API key into the field labeled
(Optional) Configure Base URL or Advanced Options
If you need to specify a custom API base URL or enable Docker compatibility, use the optionsMETAMCP_API_BASE_URLandUSE_DOCKER_HOSTas documented above.
You are now ready to use the MetaMCP integration.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Configure Environment Variables for
Please provide values for the following environment variables:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for Productivity
View All →Task Master
Task Master is an AI-powered task management system designed for development projects using Claude and Cursor AI. It helps break down product requirements into clear, manageable tasks, supports multiple AI models for main, research, and fallback roles, and enables seamless task planning, implementation, and research within your editor environment. With support for Claude Code CLI and integration across popular editors, Task Master streamlines project workflows by guiding you through parsing PRDs, generating tasks, and staying updated with best practices - all while enhancing productivity in AI-driven software development.
Notion
Unlock powerful AI-driven interactions with Notion data using our MCP server tailored for the Notion API. This project enables advanced AI agents to efficiently read, comment, and organize Notion content while optimizing token use. It supports key operations like searching, page creation, and content retrieval, allowing seamless natural language commands to manage your workspace. Designed with security in mind, it provides scoped access options to protect your data. Ideal for developers building intelligent applications that integrate deeply with Notion, it simplifies complex tasks and enhances productivity through AI automation.
Excel
Unlock powerful Excel automation with this MCP server that reads and writes Excel files effortlessly. It supports text, formulas, sheet creation, and works with XLSX, XLSM, XLTX, and XLTM formats. Windows users benefit from live editing and screen capture features. The server offers tools to describe sheets, read cell ranges with pagination, write values or formulas, create tables, and copy sheets. Configurable paging limits help manage large data efficiently. Designed for seamless Excel data manipulation, it enhances workflow automation and integration with other systems through the Model Context Protocol.
TaskManager
Manage and execute tasks efficiently with MCP TaskManager in a queue-based system. This server supports planning by accepting and organizing task lists, and execution by delivering tasks one at a time with feedback on completion. It tracks tasks via unique IDs, ensuring smooth workflow coordination through clear stages: planning, executing, and completing. Designed for integration with MCP clients like Claude Desktop, TaskManager simplifies complex task handling and improves automation by providing structured task queues and real-time updates. Its straightforward action parameters allow easy control over task flow, making it a powerful tool for effective task management.
More for Developer Tools
View All →
GitHub
Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.
Desktop Commander
Desktop Commander MCP transforms Claude Desktop into a powerful AI assistant for managing files, running terminal commands, and editing code with precision across your entire system. It supports in-memory code execution, interactive process control, advanced search and replace, plus comprehensive filesystem operations including reading from URLs and negative offset file reads. With detailed audit and fuzzy search logging, it enables efficient automation, data analysis, and multi-project workflows—all without extra API costs. Designed for developers seeking smarter automation, it enhances productivity by integrating all essential development tools into a single, intelligent chat interface.
Chrome DevTools
Provides direct Chrome browser control through DevTools for web automation, debugging, and performance analysis using accessibility tree snapshots for reliable element targeting, automatic page event handling, and integrated performance tracing with actionable insights.
Microsoft Docs
Access official Microsoft documentation instantly with the Microsoft Learn Docs MCP Server. This cloud service implements the Model Context Protocol (MCP) to enable AI tools like GitHub Copilot and others to perform high-quality semantic searches across Microsoft Learn, Azure, Microsoft 365 docs, and more. It delivers up to 10 concise, context-relevant content chunks in real time, ensuring up-to-date, accurate information. Designed for seamless integration with any MCP-compatible client, it helps AI assistants ground their responses in authoritative, current Microsoft resources for better developer support and productivity.
Similar MCP Servers
Supabase MCP Server
Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.