What is the key difference between Fetch and Scribefy MCP?

Fetch belongs to the Search & Data Extraction category with local stdio execution, while Scribefy MCP belongs to the Search & Data Extraction category with local stdio execution.

How do I install Fetch or Scribefy MCP in Claude Desktop or Cursor?

Copy the mcpServers JSON configuration snippet provided on this page into your claude_desktop_config.json or ~/.cursor/mcp.json file and restart your AI client.

Are Fetch and Scribefy MCP free or paid?

Fetch operates under a Free / Open Source model (No auth required). Scribefy MCP operates under a BYOK (Pay Provider Direct) model (API Key required).

Which MCP server has more tools and community activity?

Fetch lists 9 tools with 3 views and 90,999 GitHub stars. Scribefy MCP lists 4 tools with 2 views and 1 GitHub stars.

Can I use both Fetch and Scribefy MCP together in the same MCP host?

Yes! MCP hosts like Claude Desktop, Cursor, Windsurf, Cline, and VS Code support configuring multiple servers under the mcpServers object simultaneously.

Side-by-Side Model Context Protocol Comparison

Fetch vs Scribefy MCP

In-depth architectural comparison of the Fetch and Scribefy MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

At a Glance & Executive Verdict

Fetch

Search & Data Extraction · Local stdio

Quality: 89/100 (Excellent) | Auth: No auth required

Scribefy MCP

Search & Data Extraction · Local stdio

Quality: 59/100 (Good) | Auth: API Key required

Verdict Summary: Choose Fetch if you need specialized Search & Data Extraction tools running via a local process. Choose Scribefy MCP if your workspace requires Search & Data Extraction integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Fetch when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: create_entities, create_relations, add_observations.

Explore Fetch Details

Choose Scribefy MCP when:

You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: SCRIBEFY_API_KEY, SCRIBEFY_API_BASE.
Primary tools included: extract_transcript, search_videos, get_video_metadata.

Explore Scribefy MCP Details

Feature & Specification Comparison

Specification	Fetch VerifiedSearch & Data Extraction	Scribefy MCP MKirovBG Search & Data Extraction
Summary
Category & Scope	Search & Data Extraction

Tools & Capabilities Breakdown

Fetch Tools (9)

create_entities

Create multiple new entities in the knowledge graph

create_relations

Create multiple new relations between entities in the knowledge graph. Relations should be in active voice

add_observations

Add new observations to existing entities in the knowledge graph

delete_entities

Delete multiple entities and their associated relations from the knowledge graph

delete_observations

Delete specific observations from entities in the knowledge graph

delete_relations

Delete multiple relations from the knowledge graph

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

Fetch Configuration

mcpServers (Claude Desktop / Cursor)

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

Scribefy MCP Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "mkirovbg-scribefy-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "scribefy-mcp"
      ],
      "env": {
        "SCRIBEFY_API_KEY": "YOUR_SCRIBEFY_API_KEY_HERE",
        "SCRIBEFY_API_BASE": "YOUR_SCRIBEFY_API_BASE_HERE"
      }
    }
  }
}

Frequently Asked Questions

Fetch is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, Scribefy MCP belongs to Search & Data Extraction using local stdio subprocess. Select Fetch when you need capabilities focused on search & data extraction and Scribefy MCP when you require tools for search & data extraction.

More alternatives to Fetch More alternatives to Scribefy MCP Search & Data Extraction category hub