What is the key difference between Graphlit Mcp Server and Toffu?

Graphlit Mcp Server belongs to the Knowledge & Memory category with local stdio execution, while Toffu belongs to the Knowledge & Memory category with cloud HTTP/SSE execution.

How do I install Graphlit Mcp Server or Toffu 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 Graphlit Mcp Server and Toffu free or paid?

Graphlit Mcp Server operates under a BYOK (Pay Provider Direct) model (API Key required). Toffu operates under a Free / Open Source model (No auth required).

Which MCP server has more tools and community activity?

Graphlit Mcp Server lists 6 tools with 4 views and 379 GitHub stars. Toffu lists 4 tools with 0 views and 0 GitHub stars.

Can I use both Graphlit Mcp Server and Toffu 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.

How do I install Graphlit Mcp Server or Toffu in Claude Desktop, Cursor, or Windsurf?

Both servers follow the standard Model Context Protocol configuration format. Simply copy the JSON block from the configuration section above and paste it into your AI client's mcpServers configuration object (for instance in claude_desktop_config.json or ~/.cursor/mcp.json ), then completely restart or refresh the application.

Are Graphlit Mcp Server and Toffu free to use, or do they require API keys?

Graphlit Mcp Server is listed under a BYOK (Pay Provider Direct) model with API Key required . Toffu operates under a Free / Open Source model with No auth required . If environment variables are required (such as API keys), be sure to define them under the env key in your MCP client's configuration file.

Can I run both Graphlit Mcp Server and Toffu at the same time in my AI client?

Yes! MCP clients support multi-server orchestration. You can include both graphlit-mcp-server and toffu as distinct keys inside the single mcpServers object in your configuration file. Your AI assistant will automatically select and call the appropriate tool from either server during chat sessions.

Which MCP server has higher directory engagement and quality ratings?

On AllMCPs, Graphlit Mcp Server has a Quality Score of 57 /100 ( Good ) with 4 views, 0 installs, and 379 GitHub stars. Toffu holds a Quality Score of 51 /100 ( Good ) with 0 views, 0 installs, and 0 GitHub stars.

Side-by-Side Model Context Protocol Comparison

Graphlit Mcp Server vs Toffu

In-depth architectural comparison of the Graphlit Mcp Server and Toffu 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

Graphlit Mcp Server

Knowledge & Memory · Local stdio

Quality: 57/100 (Good) | Auth: API Key required

Toffu

Knowledge & Memory · Remote HTTP/SSE

Quality: 51/100 (Good) | Auth: No auth required

Verdict Summary: Choose Graphlit Mcp Server if you need specialized Knowledge & Memory tools running via a local process. Choose Toffu if your workspace requires Knowledge & Memory integration with remote web transport. Both servers can be configured concurrently in your client's mcpServers manifest.

Which MCP Server Should You Choose?

Choose Graphlit Mcp Server when:

You need dedicated capabilities in the Knowledge & Memory 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: GRAPHLIT_ENVIRONMENT_ID, GRAPHLIT_ORGANIZATION_ID, GRAPHLIT_JWT_SECRET.
Primary tools included: Ingest files, emails, messages, issues, and web pages, Extract and convert documents to Markdown, Transcribe audio and video files.

Explore Graphlit Mcp Server Details

Choose Toffu when:

You need dedicated capabilities in the Knowledge & Memory domain.
You prefer remote streaming HTTP/SSE transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Primary tools included: send_message, query_campaign_performance, creative_report.

Feature & Specification Comparison

Specification	Graphlit Mcp Server Knowledge & Memory	T Toffu Knowledge & Memory
Summary	Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.	AI marketing platform your agent runs end to end: ads, analytics, content, and reports.
Category & Scope	Knowledge & Memory	Knowledge & Memory

Tools & Capabilities Breakdown

Graphlit Mcp Server Tools (6)

Ingest files, emails, messages, issues, and web pages

Extract and convert documents to Markdown

Transcribe audio and video files

Built-in web crawling and podcast search

Data connectors for Slack, Discord, GitHub, Jira, Linear, Google Drive, and more

Publish content as audio or images

Toffu Tools (4)

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).

Graphlit Mcp Server Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "graphlit-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "graphlit-mcp-server"
      ],
      "env": {
        "GRAPHLIT_ENVIRONMENT_ID": "YOUR_GRAPHLIT_ENVIRONMENT_ID_HERE",
        "GRAPHLIT_ORGANIZATION_ID": "YOUR_GRAPHLIT_ORGANIZATION_ID_HERE",
        "GRAPHLIT_JWT_SECRET": "YOUR_GRAPHLIT_JWT_SECRET_HERE"
      }
    }
  }
}

Toffu Configuration

mcpServers (Claude Desktop / Cursor)

{
  "mcpServers": {
    "toffu": {
      "url": "https://mcp.toffu.ai/mcp"
    }
  }
}

Frequently Asked Questions

Graphlit Mcp Server is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Toffu belongs to Knowledge & Memory using remote streaming HTTP/SSE transport. Select Graphlit Mcp Server when you need capabilities focused on knowledge & memory and Toffu when you require tools for knowledge & memory.

More alternatives to Graphlit Mcp Server More alternatives to Toffu Knowledge & Memory category hub