Best Vector Databases for MCPTotal

Compare the Top Vector Databases that integrate with MCPTotal as of January 2026

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This a list of Vector Databases that integrate with MCPTotal. Use the filters on the left to add additional filters for products that have integrations with MCPTotal. View the products that work with MCPTotal in the table below.

What are Vector Databases for MCPTotal?

Vector databases are a type of database that use vector-based data structures, rather than the traditional relational models, to store information. They are used in artificial intelligence (AI) applications such as machine learning, natural language processing and image recognition. Vector databases support fast and efficient data storage and retrieval processes, making them an ideal choice for AI use cases. They also enable the integration of structured and unstructured datasets into a single system, offering enhanced scalability for complex projects. Compare and read user reviews of the best Vector Databases for MCPTotal currently available using the table below. This list is updated regularly.

1

Cloudflare

Cloudflare

Cloudflare Vectorize is a high-speed, globally distributed vector database built to power modern AI applications like search, recommendation, and Retrieval Augmented Generation (RAG). It enables developers to store and query embeddings — representations of text, images, and other data — with lightning-fast performance at the edge. Vectorize integrates natively with Cloudflare’s AI developer stack, including Workers AI and AI Gateway, providing a unified environment for AI inference, monitoring, and scalability. Designed for low latency and cost efficiency, Vectorize automatically optimizes and scales vector storage as data and traffic grow. Its global deployment ensures proximity to users and ML runtimes, enhancing both performance and reliability. With Vectorize, developers can build and deploy full-stack AI solutions faster and more affordably than ever.

1,915 Ratings

Starting Price: $20 per website

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2

Chroma

Chroma

Chroma is an AI-native open-source embedding database. Chroma has all the tools you need to use embeddings. Chroma is building the database that learns. Pick up an issue, create a PR, or participate in our Discord and let the community know what features you would like.

Starting Price: Free

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3

Astra DB

DataStax

Astra DB from DataStax is vector database for developers that need to get accurate Generative AI applications into production, quickly and efficiently. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management and SAML SSO secure account accessibility. You can deploy on AWS, GCP, or Azure while still maintaining open-source Cassandra compatibility.

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4

Pinecone

Pinecone

The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles. Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results. Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely.

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5

Couchbase

Couchbase

Unlike other NoSQL databases, Couchbase provides an enterprise-class, multicloud to edge database that offers the robust capabilities required for business-critical applications on a highly scalable and available platform. As a distributed cloud-native database, Couchbase runs in modern dynamic environments and on any cloud, either customer-managed or fully managed as-a-service. Couchbase is built on open standards, combining the best of NoSQL with the power and familiarity of SQL, to simplify the transition from mainframe and relational databases. Couchbase Server is a multipurpose, distributed database that fuses the strengths of relational databases such as SQL and ACID transactions with JSON’s versatility, with a foundation that is extremely fast and scalable. It’s used across industries for things like user profiles, dynamic product catalogs, GenAI apps, vector search, high-speed caching, and much more.

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