Sold by: Soroeya Corp.
Deployed on AWS
[Patented Tech: Japan Patent App. 2026-13695] DBindex is an MCP server that slashes AI API costs by 69% and eliminates LLM database disorientation. By sampling real data to auto-build multi-layer metadata indexes, it enables AI agents to generate precise SQL across complex enterprise databases without schema docs or query logs.
Overview
DBindex - AI Database Agent MCP Server (Japanese Edition)
DBindex is a high-performance MCP (Model Context Protocol) server designed to empower AI development agents (including Cline, Cursor, and Claude Desktop) to operate autonomously in large-scale, complex enterprise database environments. Built upon patented core technology (Japan Patent Application 2026-13695), DBindex eliminates the dependency on existing documentation, schema descriptions, or query execution logs.
Proven Performance Impact
In benchmark testing on complex database environments with over 170 tables and trap structures (implicit casts, missing FKs):
- 69% Reduction in Token & API Costs: Completely eliminates full-schema scanning, dramatically cutting LLM API fees.
- 100% High-Difficulty Task Completion: Enables AI agents to successfully build full-stack query and UI code without hitting context saturation.
- 0% Disorientation Rate: Prevents LLM hallucinations, instantly pinpointing target tables in dark or legacy schemas.
How It Works: Patented Two-Stage Vector Search
By performing static analysis via direct sample analysis of actual records, DBindex constructs optimized metadata indexes using PostgreSQL with pgvector through two distinct search layers:
- Area Search: Broadly identifies core target entities and context areas from natural language requests.
- Pinpoint Search: Accurately targets physical tables and relational hints, resolving implicit join rules automatically.
AWS Cloud and Hybrid Infrastructure Support
- AWS Environments: Leverages AWS Glue Data Catalog to index and access diverse data stores, including Amazon Athena and Amazon Aurora.
- On-Premises / Hybrid Environments: Functions independently within closed networks without external AWS dependencies, delivered as a standard container.
Example Use Case
When an AI coding agent attempts to build an analytics component over a database with 170+ undocumented tables, raw schema dumping overwhelms the model's context window. With DBindex, the agent queries the MCP server, receives accurate table mappings and usage logic, generates error-free SQL, and completes the build in a single linear pass.
Streamlined Interactive Setup & Zero DB Alteration
Traditional database tools often require complex manual configuration or invasive schema modifications. DBindex simplifies onboarding through an automated, interactive setup script (setup.py) and standard docker compose orchestration:
- Zero Schema Modifications: Requires no alters, new tables, or invasive logging agents on your production database.
- Guided Setup Script: setup.py automatically handles environment variables, SSL configuration, and licensing verification.
- Minutes to Production: Spin up the complete MCP server environment with a single docker compose up command.
Getting Started
DBindex is delivered as a ready-to-deploy container image. It requires PostgreSQL (v14 or higher) with the pgvector extension (v0.5.0 or higher) as its metadata store. For AWS cloud deployments, configure access to the AWS Glue Data Catalog.
Highlights
- Zero-Doc Indexing & 69% Cost Reduction: DBindex samples actual table records to automatically construct static metadata indexes without schema docs or query logs, cutting LLM token consumption and API costs by 69%.
- Patented Two-Stage Vector Search (Zero Disorientation): Powered by patented technology (Japan Patent App. 2026-13695) and pgvector, DBindex executes two-stage indexing (Area & Pinpoint Search) to achieve a 0% AI disorientation rate across 170+ table environments.
- Streamlined Setup & Zero Schema Changes: Onboarding is frictionless with an included interactive setup script (setup.py) and Docker Compose. DBindex requires zero database schema modifications or invasive log agents, allowing teams to deploy a fully functional AI database MCP server in minutes.
Details
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
DBindex Standard License | Grants full access to DBindex Remote MCP Server including autonomous database indexing and exploration capabilities. | $399.00 |
Dimensions summary
This listing offers one pricing option: the DBindex Standard License, billed under a contract model by unit quantity. You buy the number of units you need, so cost scales with the quantity you select rather than through separate tiers or sizes. Each unit grants access to the DBindex Remote MCP Server, including autonomous database indexing and exploration capabilities. There are no add-ons or alternative plans to choose between — pricing follows a single, flat license structure applied per unit over the contract term.
Top-of-mind questions for buyers
A unit represents one access grant to the DBindex Remote MCP Server. Each unit covers the autonomous database indexing and exploration capabilities. You buy the number of units you need, and your cost scales with the quantity you select rather than by server size or data volume.
It generates static indexes automatically by abstracting from real data samples. The server works across cloud-managed data stores and on-premises databases, and runs using vector-based indexing. Each unit grants autonomous database indexing and exploration through the MCP server.
Pricing follows a single per-unit license applied over the contract term. You buy the quantity you need, and cost scales directly with that quantity. There are no separate tiers or sizes. For adding units mid-contract, contact the vendor to confirm the process.
soroeya.com
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Vendor refund policy
Sales are final and non-refundable, including mid-month cancellations. However, if a critical technical issue prevents DBindex from operating and cannot be resolved by support, you may request a refund evaluation. To request a refund, please contact us via the Support details listed on this product page with your AWS Account ID and issue details.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Email: aws-ami-admin@soroeya.com
Support Level Description: We provide standard email support for DBindex.
- Support Hours: Monday through Friday, 10:00 AM to 5:00 PM JST (excluding Japanese national holidays).
- Language: Technical support is available in both English and Japanese.
- Scope of Support: Support is strictly limited to addressing DBindex product malfunctions, bugs, and issues directly related to the MCP server's internal operations.
- Out of Scope: Please note that we DO NOT provide support for general AWS environment configuration (e.g., ECS/EC2 setup), IAM permission settings, Glue Data Catalog configuration, or network routing.
- Response Time: We aim to respond to technical inquiries within 2-3 business days.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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