Distributed Mesh-Based MCP Server for Data Stores

reDB is a mesh-based data platform that runs in your infrastructure enabling true data portability between databases and data warehouses in any location.

On premises

Cloud

DBaaS

Developer IDE

AI Agents

reDB Mesh

True Data Portability

Zero Trust

Policy-Based Authentication and Authorization

Distributed MCP Server

MCP Tools and Resources

Unified Model

Schema and Language Translation

Data Engine

Data Transformation and Obfuscation

API Driven

Service, Client, and Query APIs

Data Replication

Heterogeneous multi-master replication

Data Migration

Zero-Downtime migration between technologies

MCP Tools for AI-enhanced IDEs

Developers

MCP Resources for Data Access

Developers

Local Copies of Data

Developers

MCP Resources for AI Agents

AI Agents

Ultimate Data Access and Mobility

Our platform enables ultimate access and mobility of enterprise data between any database and data warehouse, reducing vendor lock-in and infrastructure gravity.

Allow AI Agents to work with enterprise data

Let your AI Agents work with your enterprise data securely and safely, using our policy-driven access, enabling data obfuscation and data masking.

MongoDB

Allow developers to use production-like data

Allow your developers easy access to obfuscated production-like data, even on their local machines.

Production Branch

Development Branch

Head

Perform zero-downtime migrations

Coordinate zero-downtime migrations between your database and data warehouse, with our data replication and migration tools.

Source Database

Target Database

Use advanced data replication for data resiliency

Enable multi-master replication between your heterogeneous data stores, ensuring data resiliency and high availability.

PostgreSQL

MySQL

Oracle

MongoDB

MariaDB

Cassandra

Supported Data Stores

Unified Model

Automatic Schema Conversion

Our platform uses an AI-enabled schema conversion engine to create a unified model that allows inter-operability between different database technologies.

Translate Between Technologies

Powerful AI-powered translation engine that can convert schema structures from one database technology to another, between relational, document, graph, vector, and more.

Detect Privileged Data Automatically

Automatically detect privileged data across your data stores, and create policies to protect them from unauthorized access - without the need for manual labeling.

Universal Query Language

Query your data in your selected language, across multiple database technologies, using our universal query language translation engine - including multi-database joins.

SQL

SELECT * FROM users
WHERE age > 21
ORDER BY name;

MongoDB

db.users.find({
  age: { $gt: 21 }
}).sort({ name: 1 });

Cypher

MATCH (u:User)
WHERE u.age > 21
RETURN u
ORDER BY u.name;

Gremlin

g.V()
  .has('age', gt(21))
  .order()
  .by('name');

Elasticsearch

{
  "query": {
    "range": {
      "age": { "gt": 21 }
    }
  },
  "sort": ["name"]
}

Model Context Protocol

Integrated MCP Server

Any connected data store can be served using our integrated MCP server, for faster software development or for full A2A interoperability between multiple AI Agents.

Software Development IDE Connectivity

With our integrated MCP server, software developers can connect to any production data store using a policy-driven access control layer, reducing the time spent on exporting, obfuscating, or otherwise preparing data.

A2A Interoperability

Our integrated MCP server allows for full A2A interoperability between multiple AI Agents, enabling true multi-agent systems - without the need to synchronize data between your production data stores and your AI Agents.

Distributed Mesh Access

As the MCP server is part of the reDB Mesh, there is no need to consolidate or synchronize data between your production data stores and your MCP server - all while the policies enforce data security and privacy.

Automatic Version Tracking

The schema changes are automatically tracked and versioned, storing and describing the changes automatically, without the need for the user to manually write commit messages.

Branching and Merging

The versioned schemas can be branched and merged to any connected data store, allowing the development teams easy access to either the latest or any previous version of the schema.

Deployment Between Environments

Any version of the stored schema can be deployed to any connected data store, allowing the development teams to test the schema changes before making changes in production.

Version Control

Track Changes Across Your Data Stores

The schema structure of all connected data stores is tracked and versioned automatically, bringing the benefits of Git-like version control to databases and data warehouses, even when they do not natively support it.

Authentication & Authorization

Policy-Driven Control

The reDB Mesh is designed to be a policy-driven control layer, allowing for the enforcement of data security and privacy policies across all connected data stores. With policies, you can control who can access your schema and data.

Enforce Data Obfuscation

Create policies that enforce data obfuscation for privileged data, ensuring that your software development teams or AI Agents cannot access sensitive data.

Data Lineage and Provenance

The origins of the data within the mesh is tracked and stored, allowing for the enforcement of data provenance policies even when the data is migrated or replicated.

Environment-Specific Policies

Create policies that are specific to the environment in which the data is being accessed, allowing for the enforcement of data security and privacy policies across all connected data stores.

Replication & Migration

Migrate with Zero Downtime

Replicate and migrate data across different database technologies, by leveraging the flexible connectivity of the reDB Mesh - no need for individual data pipelines, custom VPN and SSH tunnels, or other manual workarounds.