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MCP servers

@aswinthulasir

Repository

Basic information

Category

Other

License

MIT license

Transports

stdio

Author

aswinthulasir

About MCP servers

All MCP servers including brave can be connected

MCP servers config

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

{
  "mcpServers": {
    "mcp-all-servers": {
      "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 collection of reference implementations for the Model Context Protocol (MCP), along with references to community‑built servers and resources. It gives Large Language Models (LLMs) secure, controlled access to tools and data sources using either the TypeScript or Python MCP SDK.

How to use Model Context Protocol servers?

Browse the repository to find individual MCP server implementations, each with its own setup instructions. Reference servers are listed in the README; third‑party servers are linked externally and maintained by their respective organizations.

Key features of Model Context Protocol servers

  • Reference implementations demonstrating MCP features and SDKs.
  • Servers for diverse data sources: databases, APIs, file systems.
  • Implementations in both TypeScript and Python.
  • Includes third‑party official integrations from multiple companies.
  • Covers tools for search, image generation, file operations, and more.

Use cases of Model Context Protocol servers

  • Enable LLMs to query databases like PostgreSQL, SQLite, or Redis.
  • Allow LLMs to browse the web via Brave Search or Fetch.
  • Integrate LLMs with project management tools (GitHub, GitLab, Slack).
  • Use memory/knowledge graph for persistent context.
  • Automate browser operations with Puppeteer.

Frequently asked questions

1

What are reference servers?

Reference servers are implementations that demonstrate MCP features and the TypeScript and Python SDKs. They include servers for database access, web search, file system operations, and more.

2

Are third‑party servers included?

Yes, the repository lists third‑party servers, including official integrations maintained by companies building production‑ready MCP servers for their platforms.

3

What SDKs are used?

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

4

How do I use a specific server from this collection?

Each server is in its own subdirectory within the repository, with its own README and setup instructions.

5

Is this only for reference or can I use these servers in production?

The reference servers are provided as examples and may require additional configuration for production use. Third‑party servers are noted as official integrations.

Comments

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