Model Context Protocol servers
@udaysy007
Model Context Protocol servers について
Model Context Protocol Servers - A collection of reference implementations for the Model Context Protocol (MCP)
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"servers-udaysy007": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Model Context Protocol servers?
Model Context Protocol servers is a repository of reference implementations for the Model Context Protocol (MCP), along with references to community-built servers and additional resources. It showcases how MCP can give Large Language Models (LLMs) secure, controlled access to tools and data sources, with each server implemented using either the TypeScript MCP SDK or Python MCP SDK.
How to use Model Context Protocol servers?
The repository provides a collection of ready-to-use MCP servers that can be integrated with any MCP client. Each server is contained in its own directory with its own setup instructions. You select and configure the server(s) that match your use case, then run them alongside your MCP-compatible LLM application.
Key features of Model Context Protocol servers
- Collection of reference MCP servers for diverse services and data sources
- Official third‑party integrations maintained by companies like Apify, Cloudflare, and Stripe
- Community‑developed servers covering a wide range of domains
- Servers implemented in TypeScript or Python using official MCP SDKs
- Lists maintained in alphabetical order to minimize merge conflicts
Use cases of Model Context Protocol servers
- Give an LLM secure access to web search, file systems, and databases
- Enable LLMs to interact with APIs like GitHub, Slack, and Google Maps
- Provide LLMs with memory, browser automation, and code execution capabilities
- Allow LLMs to query and analyze logs, metrics, and crash reports
- Build custom workflows by combining multiple MCP servers
FAQ from Model Context Protocol servers
What are reference servers?
Reference servers are implementations included in the repository to demonstrate MCP features and the TypeScript and Python SDKs. Examples include servers for Brave Search, Filesystem, Git, PostgreSQL, and Puppeteer.
Are community servers tested?
No, community servers are listed as untested and should be used at your own risk. They are not affiliated with or endorsed by Anthropic.
What SDKs are used to implement the servers?
Each MCP server is implemented with either the TypeScript MCP SDK or the Python MCP SDK.
How are the lists of servers maintained?
The lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.
Where can I find official third‑party integrations?
Official integrations are maintained by companies building production‑ready MCP servers for their platforms. They are listed in the README with their logos and links, including services like Axiom, Cloudflare, Grafana, and Stripe.
「その他」の他のコンテンツ
Core Philosophy: Connect, Unify, Respond
mindsdbDelegate anything. It comes back done.
Awesome-MCP-ZH
yzflyMCP 资源精选, MCP指南,Claude MCP,MCP Servers, MCP Clients
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
Inbox Zero AI
elie222The world's best AI personal assistant for email. Open source app to help you reach inbox zero fast.
コメント