Model Context Protocol servers
@thanhvinh199700
About Model Context Protocol servers
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-thanhvinh199700": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Tools
9Create multiple new entities in the knowledge graph
Create multiple new relations between entities in the knowledge graph. Relations should be in active voice
Add new observations to existing entities in the knowledge graph
Delete multiple entities and their associated relations from the knowledge graph
Delete specific observations from entities in the knowledge graph
Delete multiple relations from the knowledge graph
Read the entire knowledge graph
Search for nodes in the knowledge graph based on a query
Open specific nodes in the knowledge graph by their names
Overview
What is Model Context Protocol servers?
This repository is a collection of reference implementations for the Model Context Protocol (MCP), providing Large Language Models (LLMs) secure, controlled access to tools and data sources. It includes both official reference servers and community-built servers across diverse domains.
How to use Model Context Protocol servers?
—
Key features of Model Context Protocol servers
- Reference implementations using TypeScript or Python MCP SDKs
- Official integrations from companies like Cloudflare, Stripe, and Grafana
- Community-developed servers for various platforms and APIs
- Demonstrates versatility and extensibility of the MCP protocol
- Servers cover file systems, databases, web search, and more
Use cases of Model Context Protocol servers
- Give LLMs read-only access to PostgreSQL or SQLite databases for querying
- Enable AI assistants to manage GitHub repositories and issues
- Allow LLMs to perform web searches via Brave Search or Kagi
- Automate browser interactions with Puppeteer for web scraping
- Build persistent memory systems using knowledge graphs
FAQ from Model Context Protocol servers
Are community servers endorsed by Anthropic?
No. Community servers are untested, should be used at your own risk, and 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 servers listed in the README?
The lists are maintained in alphabetical order to minimize merge conflicts when adding new items.
What is the purpose of this repository?
It serves as a collection of reference implementations showcasing how MCP can give LLMs secure, controlled access to tools and data sources.
Frequently asked questions
Are community servers endorsed by Anthropic?
No. Community servers are untested, should be used at your own risk, and 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 servers listed in the README?
The lists are maintained in alphabetical order to minimize merge conflicts when adding new items.
What is the purpose of this repository?
It serves as a collection of reference implementations showcasing how MCP can give LLMs secure, controlled access to tools and data sources.
Basic information
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