Back to Tools

Model Context Protocol Servers

MCP Toolset

Model Context Protocol Servers is an officially maintained open-source repository that contains a large number of MCP (Model Context Protocol) server examples and community implementations built with TypeScript and Python SDK. The platform covers key usage scenarios such as file system operations, web scraping, database access, Git/GitHub operations, memory storage, and terminal interaction, and supports access to enterprise-level systems such as Kubernetes, iMessage, Salesforce, and MongoDB. The project structure is clear and the README document is detailed, making it easy for developers to quickly build custom services based on frameworks such as FastMCP and EasyMCP. Additionally, the community has recommended or contributed thousands of high-quality server implementations. This repository is an important resource for understanding MCP specifications, learning tool construction processes, and expanding AI application capabilities, making it suitable for developers, AI engineers, and technical teams to quickly master the ability to access multi-source data.

1. core functions

  • Officially maintained and includes a large number of MCP server examples and community implementations.
  • Covering key scenarios such as file systems, web scraping, databases, Git/GitHub, and terminals.
  • Supports TypeScript and Python SDK building methods.
  • The document has a clear structure and is suitable for learning and direct transformation into your own services.

2. usage scenarios

  • Check out the official MCP server example.
  • Develop your own tool services based on open source implementations.
  • Learn MCP access methods in different scenarios.

3. suitable for the crowd

  • Developer.
  • A team that requires an official reference implementation.
  • Engineers who want to systematically learn MCP.

4. common problems

What is the best place for the official MCP Servers warehouse?

It is best for viewing official examples and community implementations.

What scenarios does this warehouse cover?

The public description mentions file systems, crawls, databases, Git and terminals.

Is this warehouse suitable for learning MCP?

Very suitable because it is the closest reference source to official standards.

What languages does this repository support?

The public description mentions TypeScript and Python SDK.

Is this warehouse suitable for direct renovation?

Suitable, many examples are themselves prepared for developers to reuse.

Similar Tools

Composio

Composio

Composio is a tool connection platform for AI agents and automated workflows. The homepage of the official website focuses on instant tool invocation, delegation authorization, sandbox environment and access to thousands of applications, indicating that its core is not to build a single model, but to solve how agents can safely, stably, and expansively invoke external tools. For people who do AI agents, automate processes, and multi-application collaboration, it is more like a layer of connected infrastructure. Compared with accepting applications and processing authorizations one by one, Composio emphasizes abstracting these repetitive tasks in a unified manner. Judging from the information that can be confirmed on the official website, its product boundaries and target tasks are relatively clear, making it more suitable for people who already have corresponding workflows or usage scenarios to start directly, rather than treating it as a universal tool that can do everything.

Alai

Alai

Alai is an AI presentation maker, and its official website emphasizes the possibility of creating high-quality presentations with AI and generating slides from tools like Claude, Manus, and others through Alai MCP. The page mentions turn content into slides, AI has all the context, you have all the control, and entrances such as Pricing, Blog, API, etc., which are suitable for founders, product managers, consultants, students, and business teams to quickly organize ideas, documents, or existing content into editable presentations. Use it as a presentation structuring and visual first draft tool, focusing on facts, figures, interpage logic, brand templates, and audience scenarios; If you're connecting to an MCP or API, also verify the permissions and accuracy of incoming content from external AI tools.

Alma by OlivaresAI

Alma by OlivaresAI

Alma by OlivaresAI is a memory layer that provides persistent memory for AI, with official website descriptions that allow preferences, facts, decisions, and patterns to be preserved across conversations, and supports web apps, VSCode extensions, MCP servers, and REST APIs. It offers capabilities like context assembly, Soul Engine v2, environments, smart search, memory export, BYOK, Voice, and Image Studio for users who want their AI assistant to remember projects, styles, and work contexts for a long time.

aitrips.io

aitrips.io

aitrips.io is a map-first intelligent trip planning tool that allows you to put places on an interactive map, combine weather, traffic routes, collaborative editing, and mobile access to plan your trip, and support allowing users to save their own AI directly to the itinerary through MCP. It's suitable for travel planners, remote teams, families, and those looking to manage their routes with AI, bringing inspiration, places, dates, and routes together into a collaborative itinerary board. After the planning is completed, it is still necessary to check the opening hours, traffic changes, hotels and ticket information of attractions; Its advantage is that it brings together maps, weather, routes, collaboration, and MCP access to help itineraries be easier to adjust and save.

EvoLink

EvoLink

EvoLink is a unified AI model access gateway for developers and enterprises, which can aggregate and call dialogue, image, video, and music models from multiple major service providers through a single EvoLink API, reducing the cost of multi-platform integration. EvoLink emphasizes OpenAI-compatible interfaces and low migration barriers, provides intelligent routing and failover, improves production environment stability, and helps teams control costs in real time with usage statistics and transparent billing. For teams that need to build AI applications, AI office automation, or multi-model capability orchestration, EvoLink serves as the core infrastructure that integrates model selection, availability, and cost optimization into a single set of APIs and consoles.

MuleRun

MuleRun

MuleRun is an online marketplace for AI agents and AI applications, allowing users to select and directly run different agents according to the scene for tasks such as content creation, office efficiency, data, and marketing, just like visiting an app store. MuleRun also provides MuleRun MCP cloud service capabilities, allowing developers to call multiple MCP services using API keys, integrate agent tools into their workflows and products, and bill points based on the call consumption. Through the "release-price-monetize" mechanism, MuleRun also supports creators to put their self-developed agents on the shelves for sale, and continue to obtain real usage data and revenue, making MuleRun an AI Agent Marketplace and MCP platform that takes into account both use and creation.

Latest Articles

Recommended Tools

More