What is an MCP server?

An MCP server connects AI applications to external systems through the Model Context Protocol (MCP), an open standard. Servers expose tools, resources and prompts, and can ask users for input through elicitation.

How do I add an MCP server to ChatGPT, Claude, Cursor or Codex?

For clients that support local servers, add the server's command and arguments to the client's MCP configuration. For remote servers, add the server URL through the client's supported connection flow; OAuth is the recommended authorization method. ChatGPT connects to remote MCP servers via apps/plugins, and Claude custom connectors use remote MCP.

Are MCP servers safe?

MCP support is not a safety guarantee. Local servers run code with your privileges: review the exact command before running it and prefer sandboxing. Grant least-privilege scopes and ensure servers do not accept tokens that were not issued for them.

What is the difference between local and remote MCP servers?

Local MCP servers run on your machine and use stdio. Remote MCP servers are reached over the network using Streamable HTTP, with OAuth recommended for authorization. The legacy HTTP+SSE transport is deprecated; users should migrate to Streamable HTTP.

What is the difference between MCP and an API?

An API is a service-specific interface that each integration must code against. MCP is a standard protocol so any compatible AI client can discover and call a server's tools. Many MCP servers wrap existing APIs: MCP complements APIs rather than replacing them.

Directories, Launch & Discovery

MCPALL logo

MCPALL

Hub for discovering and comparing MCP servers for AI applications

Filed 25 October 2026

A directory that indexes 282 Model Context Protocol servers with guides on setup, connection methods, and access requirements for AI clients.

Screenshot of the MCPALL homepage — A look at mcpall.com

MCPALL is an independent directory of Model Context Protocol servers that helps users discover and understand MCP integrations. The site indexes 282 servers with original guides explaining each server's task, documented tools, runtime requirements, and connection setup. It supports both local servers using stdio and remote servers using Streamable HTTP, with information on configuration for different AI clients including Claude, Cursor, VS Code, and Windsurf.

The directory provides practical editorial content beyond popularity metrics, including comparisons of server functionality, access requirements, and installation considerations. Information comes from public GitHub repositories with snapshots of tools and star counts. MCPALL emphasizes that inclusion is not a security review and users should check upstream documentation and test in safe environments before relying on integrations.

Features on record

282 indexed MCP servers
Local and remote server support
Setup guides for multiple AI clients
Server categorization and filtering
GitHub repository facts and star counts
Original editorial guides and use cases
Server connection and permission requirements
Official MCP Registry browsing

Pricing

Pricing model: Free

MCPALL: the metrics

On the record for mcpall.com: Ahrefs Domain Rating and Majestic link data, with the change since the previous entry.
Metric	Value
Domain Rating	12 no change since last check
Trust Flow	4 no change since last check
Citation Flow	28 no change since last check
Referring domains	12 no change since last check
External backlinks	209 no change since last check

Ahrefs Domain Rating recorded 26 Oct 2026, entry changed 25 Oct 2026. Recorded topic: Computers/Software/Operating Systems (4). Majestic recorded 25 Oct 2026, entry changed 25 Oct 2026. Link data on record from Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

MCPALL: domain on record

Read what the registry says

We read this from the registry's RDAP record on 25 Oct 2026, 18:03 UTC.
Domain age	1 year
Registered	22 Feb 2025
Expires	22 Feb 2027
Registrar	Spaceship, Inc.
DNSSEC	Not signed

Full record for mcpall.com

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Questions answered

What is an MCP server?: An MCP server connects AI applications to external systems through the Model Context Protocol (MCP), an open standard. Servers expose tools, resources and prompts, and can ask users for input through elicitation.
How do I add an MCP server to ChatGPT, Claude, Cursor or Codex?: For clients that support local servers, add the server's command and arguments to the client's MCP configuration. For remote servers, add the server URL through the client's supported connection flow; OAuth is the recommended authorization method. ChatGPT connects to remote MCP servers via apps/plugins, and Claude custom connectors use remote MCP.
Are MCP servers safe?: MCP support is not a safety guarantee. Local servers run code with your privileges: review the exact command before running it and prefer sandboxing. Grant least-privilege scopes and ensure servers do not accept tokens that were not issued for them.
What is the difference between local and remote MCP servers?: Local MCP servers run on your machine and use stdio. Remote MCP servers are reached over the network using Streamable HTTP, with OAuth recommended for authorization. The legacy HTTP+SSE transport is deprecated; users should migrate to Streamable HTTP.
What is the difference between MCP and an API?: An API is a service-specific interface that each integration must code against. MCP is a standard protocol so any compatible AI client can discover and call a server's tools. Many MCP servers wrap existing APIs: MCP complements APIs rather than replacing them.

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