🚀 First Production-Ready Dual Protocol AI Context Storage

The Only AI-Native Context Storage
You'll Ever Need

Stop building vector storage from scratch. Vecstor provides production-ready semantic context storage with both REST APIs and Model Context Protocol (MCP) — the only service that natively supports the emerging AI ecosystem while maintaining full backward compatibility.

5 minutes to integrate
Works with Claude, GPT & more
Scale from hobby to enterprise
Start Building Free
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Trusted by developers building the future of AI

AI Startups
Research Labs
Enterprise Teams
Open Source Projects

Why Developers Choose Vecstor

We solve the hardest problems in AI context management so you can focus on building amazing applications

The Problem: Vector Storage is Hard

Building semantic search from scratch takes months. You need embeddings, vector databases, chunking strategies, search algorithms, and production infrastructure. Most teams get it wrong.

The Solution: AI-Native Context Storage

Vecstor provides everything out-of-the-box: advanced embeddings, hybrid search, automatic chunking, MCP protocol support, and enterprise-grade infrastructure. Deploy in minutes, not months.

The Result: Ship Faster, Scale Better

Focus on your core product while Vecstor handles the complexity. From prototypes to enterprise scale, with both REST and MCP support for maximum compatibility.

Get started in under 5 minutes

# Install & store your first context
curl -X POST "https://api.vecstor.com/v1/context/" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{"content": "Your knowledge base content"}'

# Search semantically
curl -X POST "https://api.vecstor.com/v1/search/semantic" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{"query": "find relevant information"}'

# Or use MCP with Claude Desktop
{
  "mcpServers": {
    "vecstor": {
      "command": "npx",
      "args": ["@vecstor/mcp-server"]
    }
  }
}
That's it! You now have production-ready semantic search.

Everything You Need for AI Context Storage

Production-ready features that scale from your first prototype to enterprise applications

First-Class MCP Protocol Support

🔥 Industry First

Native Model Context Protocol integration means your AI applications work seamlessly with Claude, GPT, and emerging AI tools.

  • ✓ Direct Claude Desktop integration
  • ✓ Tools, Resources & Prompts support
  • ✓ JSON-RPC 2.0 transport
  • ✓ Future-proof AI ecosystem compatibility

Complete REST API

Battle-tested

Full-featured REST APIs for web applications, mobile apps, and traditional integrations. OpenAPI documented.

  • ✓ RESTful endpoints for all operations
  • ✓ OAuth2 & API key authentication
  • ✓ Rate limiting & monitoring
  • ✓ SDKs for popular languages

Advanced Search

  • • Semantic similarity search
  • • Hybrid search (dense + sparse)
  • • Temporal & filtered search
  • • Query expansion & auto-correction
  • • Real-time analytics

Smart Processing

  • • Automatic text chunking
  • • Multi-format document support
  • • Content summarization
  • • Metadata extraction
  • • Background processing

Enterprise Ready

  • • Role-based access control
  • • Custom vector databases
  • • SaaS integrations
  • • SOC 2 compliance ready
  • • 99.9% uptime SLA

Advanced Capabilities

Powerful features that set Vecstor apart

Performance & Scaling

  • • Redis caching for sub-second responses
  • • Async processing with Celery workers
  • • Horizontal scaling support
  • • Usage analytics & optimization

Developer Experience

  • • RESTful API with OpenAPI documentation
  • • Docker deployment ready
  • • Comprehensive dashboard & analytics
  • • Multi-language SDK support (planned)

What Developers Are Saying

Real feedback from engineers building AI applications

A
Alex Chen
Senior AI Engineer, StartupXYZ
"Finally, a context storage solution that actually understands AI workflows. The MCP integration saved us weeks of custom development. Our Claude Desktop integration went from complex to trivial."
Reduced development time by 70%
S
Sarah Kim
ML Platform Lead, TechCorp
"The hybrid search capabilities are game-changing. We're getting much better retrieval quality compared to our previous vector-only solution. The analytics help us optimize our prompts in real-time."
40% improvement in search relevance
M
Mike Rodriguez
CTO, AI Research Lab
"Having both REST and MCP protocols means we can use the same backend for our web app and our AI research tools. The document processing pipeline handles our messy research papers perfectly."
Unified both web and AI interfaces

Simple, Developer-Friendly Pricing

Start free, scale when you're ready. No hidden fees, no vendor lock-in.

✓ All plans include REST & MCP API access

Free Plan

For individuals & testing

$0

  • 5,000 API Calls/Month
  • 1 GB Vector Storage

Basic Plan

For small teams & projects

$20 /month

30 day free trial

  • 30,000 API Calls/Month
  • 3 GB Vector Storage
Popular

Premium Plan

For growing businesses

$49 /month

30 day free trial

  • 50,000 API Calls/Month
  • 5 GB Vector Storage

Production Plan

For large scale deployments

$99 /month

30 day free trial

  • 100,000 API Calls/Month
  • 10 GB Vector Storage

Ready to get started?

Sign up today and start leveraging the power of semantic context storage.

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