Semantic Context Storage for MCP Applications

Store, retrieve, and process context with advanced semantic capabilities. Built for modern AI applications.

Powerful Features for MCP Integration

Seamlessly integrate semantic memory and vector storage into your MCP applications

Persistent Semantic Memory

Store and retrieve context with advanced semantic capabilities. Our embedding engine and vector database ensure efficient storage and retrieval of semantic information.

Vector Database Wrapper

Flexible integration with multiple vector databases including Pinecone, Qdrant, and Chroma. Our MCP API and embedding management system make integration seamless.

Context Pre-processing

Advanced data cleaning, chunking, and summarization capabilities. Our pipeline ensures your data is optimized for semantic storage and retrieval.

Cloud-Hosted Solution

Deploy your semantic memory system in the cloud with our managed service. Focus on your application while we handle the infrastructure.

Self-Hosted Option

Maintain full control with our self-hosted solution. Deploy Vecstor on your own infrastructure with complete access to the source code.

MCP API Gateway

Seamless integration with MCP applications through our dedicated API gateway. Built for high performance and reliability.

Choose Your Plan

Select the deployment model that works best for you.

Free Plan

For individuals & testing

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

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