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MCP servers

@udaysy007

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

udaysy007

About MCP servers

Model Context Protocol Servers - A collection of reference implementations for the Model Context Protocol (MCP)

#mcp#model-context-protocol#servers

MCP servers config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "servers-udaysy007": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

MCP servers tools

9

Create 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?

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

Frequently asked questions

1

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.

2

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.

3

What SDKs are used to implement the servers?

Each MCP server is implemented with either the TypeScript MCP SDK or the Python MCP SDK.

4

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.

5

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.

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