What can OceanBase do?

oceanbase database connection and query execution via mcp, oceanbase schema introspection and metadata retrieval, distributed transaction coordination and acid guarantee enforcement, oceanbase cli tool invocation and output parsing, multi-tenant database isolation and context switching, performance monitoring and query optimization recommendations, backup and recovery orchestration via mcp

OceanBase

MCP ServerFree

** - MCP Server for OceanBase database and its tools

Open Source

/ 100

7 capabilities

Capabilities7 decomposed

oceanbase database connection and query execution via mcp

Medium confidence

Establishes and manages connections to OceanBase databases (MySQL-compatible and Oracle-compatible modes) through the Model Context Protocol, enabling LLM agents to execute SQL queries, retrieve results, and manage transactions. Implements MCP server architecture with tool registration for standardized database operations, abstracting connection pooling and session management behind a unified interface.

Solves for

I want my AI agent to query an OceanBase database and retrieve structured results for decision-makingI need to execute DDL/DML operations on OceanBase through an LLM without writing custom database driversI want to integrate OceanBase as a data source for multi-step agent workflows

Best for

AI agents and LLM applications requiring persistent data access

Teams building autonomous database administration tools

Developers integrating OceanBase into Claude/LLM-based workflows

Requires

OceanBase 3.1.0 or later (MySQL or Oracle compatible mode)

MCP client implementation (Claude, Anthropic SDK, or compatible)

Network connectivity to OceanBase server (TCP port 2881 default)

Limitations

MCP protocol adds latency overhead compared to direct JDBC/native drivers

Transaction isolation and distributed transaction support depends on underlying OceanBase cluster configuration

No built-in connection pooling optimization — relies on MCP server-level resource management

What makes it unique

Implements MCP server specifically for OceanBase's dual-mode architecture (MySQL and Oracle compatibility), exposing database operations as standardized MCP tools that LLM agents can invoke without custom driver code. Uses OceanBase's native connection protocol with tenant-aware authentication.

vs alternatives

Provides native OceanBase integration via MCP (vs generic SQL MCP servers), enabling agents to leverage OceanBase-specific features like distributed transactions and multi-tenant isolation without abstraction layers.

oceanbase schema introspection and metadata retrieval

Medium confidence

Exposes OceanBase database schema information (tables, columns, indexes, constraints, views) through MCP tools, enabling LLM agents to discover database structure and generate contextually-aware SQL queries. Queries system tables and information_schema to build a queryable metadata model that agents can use for semantic understanding of the database.

Solves for

I want my AI agent to understand the database schema before generating SQL queriesI need to provide the LLM with table and column metadata for intelligent query generationI want to enable agents to discover available tables and relationships without manual documentation

Best for

Autonomous SQL generation systems using LLMs

Database exploration and documentation tools powered by AI

Multi-tenant SaaS platforms where agents need schema awareness per tenant

Requires

OceanBase 3.1.0 or later

Database user with SELECT privileges on information_schema and system tables

MCP client with tool-calling capability

Limitations

Schema introspection latency increases with database size (large schemas may require pagination)

Does not expose row-level security policies or column-level permissions to the agent

Metadata caching strategy not specified — may return stale schema if DDL changes occur mid-session

What makes it unique

Implements schema introspection as MCP tools that expose OceanBase's information_schema in a structured, agent-consumable format, enabling LLMs to build accurate mental models of database structure for semantic query generation without manual schema documentation.

vs alternatives

Tighter integration with OceanBase's system tables vs generic database introspection tools, providing tenant-aware metadata retrieval that respects OceanBase's multi-tenant architecture.

distributed transaction coordination and acid guarantee enforcement

Medium confidence

Manages multi-statement transactions across OceanBase's distributed architecture, coordinating ACID guarantees through explicit transaction boundaries (BEGIN, COMMIT, ROLLBACK) exposed as MCP tools. Ensures consistency across partitioned data by leveraging OceanBase's distributed transaction protocol, allowing agents to execute multi-step operations atomically.

Solves for

I need my agent to execute a multi-step operation atomically (all-or-nothing semantics)I want to ensure data consistency when an agent performs dependent database updatesI need rollback capability if an agent's workflow encounters errors mid-transaction

Best for

Financial or payment processing agents requiring ACID guarantees

Inventory management systems where agents coordinate stock updates across locations

Data migration agents that must maintain consistency across multiple tables

Requires

OceanBase 3.1.0 or later with distributed transaction support enabled

Network connectivity between all OceanBase nodes in the cluster

MCP client capable of maintaining session state across multiple tool calls

Limitations

Distributed transaction latency increases with number of partitions involved (2-phase commit overhead)

Long-running transactions may cause lock contention on OceanBase cluster

Deadlock detection and resolution depends on OceanBase's deadlock detection algorithm — agent may need retry logic

What makes it unique

Exposes OceanBase's distributed transaction protocol through MCP, enabling agents to coordinate ACID-compliant operations across partitioned data without understanding the underlying distributed consensus mechanism. Leverages OceanBase's native 2-phase commit for consistency.

vs alternatives

Provides true distributed ACID semantics vs single-node transaction tools, critical for agents operating on OceanBase's partitioned architecture where data may span multiple nodes.

oceanbase cli tool invocation and output parsing

Medium confidence

Wraps OceanBase command-line tools (obclient, obd, obctl) as MCP tools, allowing LLM agents to invoke database administration commands and parse structured output. Captures CLI stdout/stderr, parses tabular or JSON output, and returns results in agent-consumable format, bridging the gap between OceanBase's CLI ecosystem and LLM-driven automation.

Solves for

I want my agent to run OceanBase CLI commands (like obclient queries) without shell accessI need to parse OceanBase CLI output (cluster status, performance metrics) into structured data for agent decision-makingI want to automate OceanBase administration tasks (backup, recovery, scaling) through an agent

Best for

Database operations teams automating OceanBase administration

Autonomous database management agents

Observability and monitoring systems that need to invoke OceanBase diagnostic tools

Requires

OceanBase CLI tools installed on MCP server host (obclient, obd, obctl)

Appropriate PATH environment variables configured

Credentials for OceanBase cluster accessible to CLI tools

Limitations

CLI tool availability and version compatibility must be pre-verified on MCP server host

Output parsing is brittle if OceanBase CLI format changes between versions

No built-in timeout handling for long-running CLI operations (e.g., large backups)

What makes it unique

Implements MCP tool wrappers around OceanBase's native CLI ecosystem (obclient, obd, obctl), with output parsing logic that converts unstructured CLI output into structured JSON for agent consumption. Maintains CLI tool compatibility across OceanBase versions.

vs alternatives

Enables agents to leverage OceanBase's full CLI toolset vs limited SQL-only interfaces, providing access to administrative operations (backup, recovery, cluster management) that aren't available through SQL alone.

multi-tenant database isolation and context switching

Medium confidence

Manages tenant-aware database connections and query execution, allowing agents to operate within isolated tenant contexts in OceanBase's multi-tenant architecture. Implements tenant switching logic that maintains separate connection sessions per tenant, ensuring data isolation and enabling agents to serve multi-tenant SaaS applications without cross-tenant data leakage.

Solves for

I want my agent to serve multiple SaaS tenants with isolated database contextsI need to ensure an agent's queries only access data for the current tenantI want to dynamically switch tenant context within an agent workflow

Best for

Multi-tenant SaaS platforms using OceanBase

Agents serving customer-specific data without manual isolation logic

Compliance-sensitive applications requiring strict data isolation

Requires

OceanBase 3.1.0 or later with multi-tenant mode enabled

Tenant credentials or system user with multi-tenant access

MCP client capable of passing tenant context in tool parameters

Limitations

Tenant context must be explicitly provided per request — no implicit tenant detection from LLM context

Cross-tenant queries are not supported (agents cannot aggregate data across tenants)

Tenant switching adds connection overhead if agents frequently change tenants

What makes it unique

Implements tenant-aware connection management as MCP tools, enforcing OceanBase's multi-tenant isolation at the MCP layer. Ensures agents cannot accidentally query or modify data from other tenants, even if the underlying database user has cross-tenant permissions.

vs alternatives

Provides explicit tenant isolation enforcement vs relying on database-level row-level security, giving agents and developers clear control over tenant context and reducing risk of data leakage in multi-tenant SaaS systems.

performance monitoring and query optimization recommendations

Medium confidence

Exposes OceanBase performance metrics (query execution time, I/O statistics, lock contention) and optimization recommendations through MCP tools. Queries OceanBase's performance schema and system views to provide agents with insights into query performance, enabling autonomous optimization workflows and performance-aware decision-making.

Solves for

I want my agent to identify slow queries and recommend optimization strategiesI need to monitor database performance metrics in real-time for alertingI want agents to make performance-aware decisions (e.g., query routing based on load)

Best for

Autonomous database optimization agents

Performance monitoring and alerting systems

Agents that need to adapt behavior based on database load

Requires

OceanBase 3.1.0 or later with performance schema enabled

Database user with SELECT privileges on performance_schema tables

Sufficient memory for performance schema data collection

Limitations

Performance schema overhead may impact production systems if queried too frequently

Optimization recommendations are heuristic-based and may not apply to all workloads

Historical performance data retention depends on OceanBase configuration (may be limited)

What makes it unique

Integrates OceanBase's performance schema as MCP tools, exposing query execution metrics and optimization recommendations in a format agents can consume for autonomous performance tuning. Leverages OceanBase's built-in performance instrumentation.

vs alternatives

Provides native OceanBase performance insights vs external APM tools, enabling agents to make optimization decisions based on authoritative performance data from the database itself.

backup and recovery orchestration via mcp

Medium confidence

Exposes OceanBase backup and recovery operations as MCP tools, enabling agents to initiate backups, manage backup policies, and orchestrate recovery workflows. Abstracts the complexity of OceanBase's backup architecture (full, incremental, archive log backups) and recovery procedures, allowing agents to implement autonomous backup strategies and disaster recovery automation.

Solves for

I want my agent to automatically trigger backups on a schedule or based on data volume thresholdsI need agents to manage backup retention policies and clean up old backupsI want to automate disaster recovery workflows (e.g., restore to point-in-time)

Best for

Autonomous database operations teams

Disaster recovery automation systems

Compliance-driven backup management (e.g., retention policies)

Requires

OceanBase 3.1.0 or later with backup module enabled

Backup storage configured (NFS, OSS, or other supported backend)

Database user with BACKUP and RESTORE privileges

Limitations

Backup operations are I/O intensive and may impact production performance

Recovery time objective (RTO) depends on backup size and network bandwidth

No built-in backup validation — agents must implement separate integrity checks

What makes it unique

Implements OceanBase backup and recovery as MCP tools, abstracting the complexity of distributed backup coordination across OceanBase's partitioned architecture. Enables agents to orchestrate multi-step recovery workflows without manual intervention.

vs alternatives

Provides native OceanBase backup integration vs generic backup tools, enabling agents to leverage OceanBase-specific features like incremental backups and point-in-time recovery with full consistency guarantees.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with OceanBase, ranked by overlap. Discovered automatically through the match graph.

MCP Server34

@supabase/mcp-server-supabase

MCP server for interacting with Supabase

transaction management and multi-step operationspostgresql table crud operations via mcp protocol

2 shared capabilities

MCP Server27

SchemaCrawler

** - Connect to any relational database, and be able to get valid SQL, and ask questions like what does a certain column prefix mean.

database-schema-introspection-via-mcpmulti-database-connection-management

2 shared capabilities

MCP Server27

Apache Doris

** - MCP Server For [Apache Doris](https://doris.apache.org/), an MPP-based real-time data warehouse.

mcp protocol-compliant sql query execution with connection poolingdatabase schema and metadata extraction with caching

2 shared capabilities

MCP Server30

enhanced-postgres-mcp-server

Enhanced PostgreSQL MCP server with read and write capabilities. Based on @modelcontextprotocol/server-postgres by Anthropic.

transaction support and acid guarantees

1 shared capability

MCP Server44

SQLite MCP Server

Create, query, and analyze SQLite databases via MCP.

transactional data operations with acid guarantees

1 shared capability

MCP Server25

MongoDB Lens

** - Full Featured MCP Server for MongoDB Database.

transaction support for multi-document acid operations

1 shared capability

Best For

✓AI agents and LLM applications requiring persistent data access
✓Teams building autonomous database administration tools
✓Developers integrating OceanBase into Claude/LLM-based workflows
✓Autonomous SQL generation systems using LLMs
✓Database exploration and documentation tools powered by AI
✓Multi-tenant SaaS platforms where agents need schema awareness per tenant
✓Financial or payment processing agents requiring ACID guarantees
✓Inventory management systems where agents coordinate stock updates across locations

Known Limitations

⚠MCP protocol adds latency overhead compared to direct JDBC/native drivers
⚠Transaction isolation and distributed transaction support depends on underlying OceanBase cluster configuration
⚠No built-in connection pooling optimization — relies on MCP server-level resource management
⚠Query complexity and result set size limited by MCP message serialization constraints
⚠Schema introspection latency increases with database size (large schemas may require pagination)
⚠Does not expose row-level security policies or column-level permissions to the agent

Requirements

OceanBase 3.1.0 or later (MySQL or Oracle compatible mode)MCP client implementation (Claude, Anthropic SDK, or compatible)Network connectivity to OceanBase server (TCP port 2881 default)Valid OceanBase credentials (username, password, tenant, database)OceanBase 3.1.0 or laterDatabase user with SELECT privileges on information_schema and system tablesMCP client with tool-calling capabilityOceanBase 3.1.0 or later with distributed transaction support enabled

Input / Output

Accepts: SQL query strings (SELECT, INSERT, UPDATE, DELETE, DDL), Connection parameters (host, port, username, password, tenant, database), Transaction control commands (BEGIN, COMMIT, ROLLBACK), Database name or schema filter, Table name patterns (for filtered introspection), Metadata query type (tables, columns, indexes, constraints), BEGIN command to start transaction, SQL statements (SELECT, INSERT, UPDATE, DELETE) within transaction context, COMMIT or ROLLBACK commands, CLI command name (obclient, obd, obctl), Command arguments and flags, Optional input data (SQL scripts, configuration files), Tenant identifier (tenant name or ID), SQL queries scoped to tenant context, Tenant-specific credentials (optional, if per-tenant auth required), Query ID or SQL text for performance analysis, Time range for historical metrics, Performance threshold parameters (e.g., slow query threshold), Backup type (FULL, INCREMENTAL, ARCHIVE_LOG), Backup destination and retention policy, Recovery parameters (point-in-time, backup ID)

Produces: Structured result sets (rows as JSON objects), Query metadata (column names, types, row count), Execution status and error messages, Transaction confirmation responses, Table list with row counts and storage info, Column metadata (name, type, nullable, default, constraints), Index definitions and uniqueness constraints, Foreign key relationships and referential integrity rules, Transaction start confirmation, Per-statement execution results, Commit/rollback confirmation with transaction ID, Isolation level and lock information, Parsed CLI output (tables as JSON, status messages), Exit codes and error messages, Structured metrics and diagnostic information, Query results scoped to tenant data only, Tenant context confirmation, Isolation violation errors if cross-tenant access attempted, Query execution time and I/O statistics, Lock contention and wait events, Index usage recommendations, Optimization suggestions (e.g., add index, rewrite query), Backup job status and progress, Backup metadata (size, duration, completion time), Recovery confirmation and validation results

UnfragileRank

Adoption15%(25% weight)

Quality16%(25% weight)

Ecosystem30%(15% weight)

Match Graph25%(30% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: MCP Server

7 capabilities

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** - MCP Server for OceanBase database and its tools

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Capabilities7 decomposed

oceanbase database connection and query execution via mcp

Medium confidence

Solves for

Best for

AI agents and LLM applications requiring persistent data access

Teams building autonomous database administration tools

Developers integrating OceanBase into Claude/LLM-based workflows

Requires

OceanBase 3.1.0 or later (MySQL or Oracle compatible mode)

MCP client implementation (Claude, Anthropic SDK, or compatible)

Network connectivity to OceanBase server (TCP port 2881 default)

Limitations

MCP protocol adds latency overhead compared to direct JDBC/native drivers

Transaction isolation and distributed transaction support depends on underlying OceanBase cluster configuration

No built-in connection pooling optimization — relies on MCP server-level resource management

What makes it unique

vs alternatives

oceanbase schema introspection and metadata retrieval

Medium confidence

Solves for

Best for

Autonomous SQL generation systems using LLMs

Database exploration and documentation tools powered by AI

Multi-tenant SaaS platforms where agents need schema awareness per tenant

Requires

OceanBase 3.1.0 or later

Database user with SELECT privileges on information_schema and system tables

MCP client with tool-calling capability

Limitations

Schema introspection latency increases with database size (large schemas may require pagination)

Does not expose row-level security policies or column-level permissions to the agent

Metadata caching strategy not specified — may return stale schema if DDL changes occur mid-session

What makes it unique

vs alternatives

Tighter integration with OceanBase's system tables vs generic database introspection tools, providing tenant-aware metadata retrieval that respects OceanBase's multi-tenant architecture.

distributed transaction coordination and acid guarantee enforcement

Medium confidence

Solves for

Best for

Financial or payment processing agents requiring ACID guarantees

Inventory management systems where agents coordinate stock updates across locations

Data migration agents that must maintain consistency across multiple tables

Requires

OceanBase 3.1.0 or later with distributed transaction support enabled

Network connectivity between all OceanBase nodes in the cluster

MCP client capable of maintaining session state across multiple tool calls

Limitations

Distributed transaction latency increases with number of partitions involved (2-phase commit overhead)

Long-running transactions may cause lock contention on OceanBase cluster

Deadlock detection and resolution depends on OceanBase's deadlock detection algorithm — agent may need retry logic

What makes it unique

vs alternatives

Provides true distributed ACID semantics vs single-node transaction tools, critical for agents operating on OceanBase's partitioned architecture where data may span multiple nodes.

oceanbase cli tool invocation and output parsing

Medium confidence

Solves for

Best for

Database operations teams automating OceanBase administration

Autonomous database management agents

Observability and monitoring systems that need to invoke OceanBase diagnostic tools

Requires

OceanBase CLI tools installed on MCP server host (obclient, obd, obctl)

Appropriate PATH environment variables configured

Credentials for OceanBase cluster accessible to CLI tools

Limitations

CLI tool availability and version compatibility must be pre-verified on MCP server host

Output parsing is brittle if OceanBase CLI format changes between versions

No built-in timeout handling for long-running CLI operations (e.g., large backups)

What makes it unique

vs alternatives

multi-tenant database isolation and context switching

Medium confidence

Solves for

Best for

Multi-tenant SaaS platforms using OceanBase

Agents serving customer-specific data without manual isolation logic

Compliance-sensitive applications requiring strict data isolation

Requires

OceanBase 3.1.0 or later with multi-tenant mode enabled

Tenant credentials or system user with multi-tenant access

MCP client capable of passing tenant context in tool parameters

Limitations

Tenant context must be explicitly provided per request — no implicit tenant detection from LLM context

Cross-tenant queries are not supported (agents cannot aggregate data across tenants)

Tenant switching adds connection overhead if agents frequently change tenants

What makes it unique

vs alternatives

performance monitoring and query optimization recommendations

Medium confidence

Solves for

Best for

Autonomous database optimization agents

Performance monitoring and alerting systems

Agents that need to adapt behavior based on database load

Requires

OceanBase 3.1.0 or later with performance schema enabled

Database user with SELECT privileges on performance_schema tables

Sufficient memory for performance schema data collection

Limitations

Performance schema overhead may impact production systems if queried too frequently

Optimization recommendations are heuristic-based and may not apply to all workloads

Historical performance data retention depends on OceanBase configuration (may be limited)

What makes it unique

vs alternatives

Provides native OceanBase performance insights vs external APM tools, enabling agents to make optimization decisions based on authoritative performance data from the database itself.

backup and recovery orchestration via mcp

Medium confidence

Solves for

Best for

Autonomous database operations teams

Disaster recovery automation systems

Compliance-driven backup management (e.g., retention policies)

Requires

OceanBase 3.1.0 or later with backup module enabled

Backup storage configured (NFS, OSS, or other supported backend)

Database user with BACKUP and RESTORE privileges

Limitations

Backup operations are I/O intensive and may impact production performance

Recovery time objective (RTO) depends on backup size and network bandwidth

No built-in backup validation — agents must implement separate integrity checks

What makes it unique

vs alternatives

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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OceanBase

Capabilities7 decomposed

oceanbase database connection and query execution via mcp

oceanbase schema introspection and metadata retrieval

distributed transaction coordination and acid guarantee enforcement

oceanbase cli tool invocation and output parsing

multi-tenant database isolation and context switching

performance monitoring and query optimization recommendations

backup and recovery orchestration via mcp

Related Artifactssharing capabilities

@supabase/mcp-server-supabase

SchemaCrawler

Apache Doris

enhanced-postgres-mcp-server

SQLite MCP Server

MongoDB Lens

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to OceanBase

Are you the builder of OceanBase?

Get the weekly brief

Data Sources

OceanBase

Capabilities7 decomposed

oceanbase database connection and query execution via mcp

oceanbase schema introspection and metadata retrieval

distributed transaction coordination and acid guarantee enforcement

oceanbase cli tool invocation and output parsing

multi-tenant database isolation and context switching

performance monitoring and query optimization recommendations

backup and recovery orchestration via mcp

Related Artifactssharing capabilities

@supabase/mcp-server-supabase

SchemaCrawler

Apache Doris

enhanced-postgres-mcp-server

SQLite MCP Server

MongoDB Lens

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to OceanBase

Are you the builder of OceanBase?

Get the weekly brief

Data Sources