Reference implementations for the Model Context Protocol.
This repository houses reference implementations for the Model Context Protocol (MCP), showcasing its features and SDK usage. It serves as an educational resource for developers looking to build their own MCP servers. The MCP provides secure and controlled access for Large Language Models (LLMs) to various tools and data sources.
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Pick your client and paste the snippet. Each one is the same server, written the way that client expects it.
claude mcp add memory -- npx -y @modelcontextprotocol/server-memory{
"mcpServers": {
"memory": {
"args": [
"-y",
"@modelcontextprotocol/server-memory"
],
"command": "npx"
}
}
}code --add-mcp '{"name":"memory","args":["-y","@modelcontextprotocol/server-memory"],"command":"npx"}'[mcp_servers.memory]
command = "npx"
args = ["-y", "@modelcontextprotocol/server-memory"]Runs locally on your device. Your client starts the server itself, so nothing has to be hosted.
Paste this prompt into your agent. It reads this page and does the setup for you.
Read https://aiagentslisting.com/mcp/model-context-protocol-servers to learn what the "Model Context Protocol Servers" MCP server does and how to install it. Add it to my coding agent's MCP configuration as documented on that page, then confirm the server connects and list the tools it exposes.Agents can also browse this directory over MCP at https://aiagentslisting.com/api/mcp
npx -y @modelcontextprotocol/server-memoryuvx mcp-server-gitThis server runs locally, so we can't read its tool list over the web yet.
Maintain this server? Claiming proves you own the listing and earns the last 4 points.
Claim this listingPaste this line near the top of your repository's README. The badge always renders the current score.
[](https://aiagentslisting.com/mcp/model-context-protocol-servers)Nothing comparable is listed yet.
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