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Welcome to FLTR

FLTR is a powerful Context as a Service platform that makes your documents searchable and accessible to AI applications through the Model Context Protocol (MCP).

What is FLTR?

FLTR transforms your documents into AI-ready datasets with:
  • Semantic Search: Hybrid vector + keyword search with optional reranking
  • Multimodal Support: Process PDFs, images, text, and more
  • MCP Integration: Native support for Claude Desktop, VS Code, Cursor, and other MCP clients
  • RESTful API: Simple HTTP API for any programming language
  • Real-time Processing: Automatic document chunking and embedding

Key Features

Quick Start

Get started with FLTR in just a few steps:
1

Create an Account

Sign up at www.tryfltr.com to get started
2

Generate an API Key

Navigate to Settings → API Keys and create your first API key
3

Make Your First Request

Use our API to create a dataset and upload your first document

Follow the Tutorial

Complete step-by-step guide to your first integration →

Authentication Methods

FLTR supports three authentication methods to fit your use case:
MethodRate LimitBest For
Anonymous50 requests/hourTesting, public datasets
API Key1,000 requests/hourScripts, services, integrations
OAuth/MCP15,000 requests/hourMCP clients, web applications

Use Cases

For AI Developers

Build AI applications with semantic search over your documents:
  • RAG (Retrieval Augmented Generation) systems
  • Knowledge bases for AI agents
  • Document Q&A systems
  • Research assistants

For No-Code Builders

Integrate FLTR into your workflows:
  • Zapier automations
  • Make.com scenarios
  • n8n workflows
  • Custom webhooks

For Enterprises

Enterprise-ready features:
  • Team collaboration
  • Credit-based usage
  • Advanced security
  • Custom embedding models

What’s Next?

Need Help?

  • Documentation: Browse this documentation for guides and examples
  • Support: Email us at support@fltr.com
  • GitHub: Check out our GitHub for code examples
  • Status: View system status at status.fltr.com