Fastino Gliner MCP Server

Connect Claude directly to your Fastino Gliner API for seamless AI-powered user memory and context management.

What This Does

This MCP (Model Context Protocol) server allows Claude (via the Claude Desktop app) to directly interact with your Fastino Gliner API. Once configured, you can ask Claude to:

• Extract Entities from text
• Classify text
• Strucuture text into a JSON format

Prerequisites

• Node.js 18 or higher
• A Fastino API key (get yours at fastino.ai)
• Claude Desktop app (download here)

Configuration

Step 1: Add to Claude Desktop

1. Open your Claude Desktop app configuration file:

   • Go to Settings → Developer → Edit Config

   Or manually locate the file at:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

2. Add the Fastino MCP server configuration:

{
  "mcpServers": {
    "fastino-gliner-2-mcp-server": {
      "command": "npx",
      "args": [
        "fastino-gliner-2-mcp-server"
      ],
      "env": {
        "FASTINO_API_KEY": "pio_sk_your_api_key_here"
      }
    }
  }
}

3. Replace pio_sk_your_api_key_here with your actual Fastino API key (get yours at fastino.ai)

4. Restart Claude Desktop

Step 2: Verify Installation

Open Claude Desktop and ask:

"What Fastino Gliner tools do you have access to?"

Claude should list all 3 available Fastino tools.

Usage Examples

Once configured, you can use natural language with Claude:

Entity Extraction

"I want to know the person, company, location, organisation and date using Gliner in this text: Apple CEO Tim Cook announced a partnership with Google in San Francisco on October 11th, 2025"

Classify Text

"Using Gliner, can you tell me if this is postivie?: I absolutely loved this product! It exceeded my expectations."

Extract Json

"With Gliner, can turn this into JSON for the product name, storage and price?: iPhone 15 Pro Max with 256GB storage priced at $1199."

Available Tools

| Tool | Description | |------|-------------| | extract_entities | Extract named entities from text | | classify_text | Classify text into predefined categories (sentiment analysis, topic classification, intent detection, etc.) | | extract_json | Parse unstructured text into structured JSON data |

Troubleshooting

"FASTINO_API_KEY environment variable is required"

Make sure you've added your API key to the claude_desktop_config.json file and restarted Claude Desktop.

Tools not appearing in Claude

1. Ensure the config file is in the correct location
2. Verify the JSON is properly formatted (no trailing commas)
3. Restart Claude Desktop completely (quit and reopen)

Support

• Fastino API Documentation: docs.fastino.ai
• MCP Protocol: modelcontextprotocol.io

Built with ❤️ by Fastino