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Best MCP Servers for Database & Supabase in 2026

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When you're building with AI assistants, database integration isn't a luxury—it's essential. Whether you're querying Postgres, managing Supabase projects, analyzing BigQuery datasets, or exploring graph relationships in Neo4j, having the right MCP server transforms how your AI tools interact with your data.

The Model Context Protocol (MCP) has revolutionized database connectivity. Instead of cobbling together APIs and custom integrations, you can now connect enterprise-grade databases directly to Claude, ChatGPT, and other AI assistants with a single server.

In this roundup, we've compiled the 10 best database MCP servers for 2026—each purpose-built to simplify data access, improve query safety, and unlock new possibilities for AI-driven database management.

Why Use MCP for Database Management?

Database MCP servers solve real problems that developers face every day:

  • Seamless AI Integration: Connect your databases directly to Claude or ChatGPT without building custom API layers. Your AI assistant can query data, inspect schemas, and execute commands natively.

  • Safety & Isolation: Most MCP servers enforce read-only modes, schema inspection limits, and parameterized queries to prevent SQL injection and accidental data modification. You maintain fine-grained control over what your AI can access.

  • Multi-Database Support: Whether you're running PostgreSQL, MongoDB, DuckDB, BigQuery, or ClickHouse, MCP servers provide unified access patterns. No need to learn different client libraries for each database.

  • Cloud & Self-Hosted Flexibility: From serverless databases like Neon and Supabase to on-premise PostgreSQL clusters, MCP servers work across your entire infrastructure stack.

  • Schema Inspection & Context: AI assistants gain full visibility into your database schema, table structures, and relationships. This context enables smarter query generation and more accurate data exploration.

1. Supabase MCP Server

The official Supabase MCP server brings your entire Supabase project into your AI workflow. Connect multiple projects, manage tables, query real-time data, execute edge functions, and interact with your storage buckets—all from Claude or your favorite AI assistant.

What makes this essential: Supabase combines PostgreSQL power with built-in authentication, real-time subscriptions, and edge functions. The MCP server unlocks all of this for AI-driven database management without needing to write custom SDK code.

Capabilities:

  • Connect Supabase projects and manage tables directly
  • Execute read-only or project-scoped queries on your database
  • Interact with edge functions and storage buckets
  • Support for multiple database branches
  • Flexible authentication scopes (read-only, full project access, or custom roles)

Pricing:

  • Free (open source)
Supabase MCP Server
S
Supabase MCP Server Official1-Click ReadyRemote

Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language M...

Database 1.9k 37

2. DBHub (Universal Database Gateway)

DBHub is the Swiss Army knife of database MCP servers. One gateway, multiple database engines. Support for PostgreSQL, MySQL, SQLite, and DuckDB means you can standardize on a single integration pattern across your entire data stack.

What makes it notable: Instead of managing separate MCP servers for each database type, DBHub provides a unified interface with consistent capabilities like table browsing, schema inspection, and safe read-only SQL execution.

Capabilities:

  • Support for PostgreSQL, MySQL, SQLite, and DuckDB
  • Unified table browsing and schema inspection
  • Read-only SQL execution with safety checks
  • Connection pooling and efficient query handling
  • Cross-database compatibility with minimal configuration

Pricing:

  • Free (open source)

View on FastMCP

3. PostgreSQL Multi-Schema

PostgreSQL powers millions of applications, but managing multiple schemas adds complexity. This MCP server specializes in PostgreSQL environments with enhanced multi-schema support, giving you isolation and control across namespaces.

What makes it notable: Built specifically for PostgreSQL's powerful schema system. Perfect for monolithic applications that shard logic across multiple schemas or enterprises managing data isolation per tenant.

Capabilities:

  • Read-only PostgreSQL access with schema isolation
  • Inspect schemas, tables, and relationships across namespaces
  • Execute parameterized queries with safety isolation
  • Full schema metadata inspection and enumeration
  • Support for complex schema inheritance and dependencies

Pricing:

  • Free (open source)

View on FastMCP

4. PostgreSQL MCP

The foundational PostgreSQL server handles everything from simple SELECT queries to complex schema inspections. If your backend runs on Postgres—and many do—this server provides the core bridge between your AI assistant and your database.

What makes it notable: Reliable, battle-tested PostgreSQL integration with support for prepared statements, multiple parameter styles, and connection pooling. Works whether you're running Postgres locally, on RDS, or through Neon.

Capabilities:

  • SQL query execution with prepared statement support
  • Table management and schema inspection
  • Multiple SQL parameter styles for flexible queries
  • Connection pooling for efficient resource use
  • Support for complex transactions and stored procedures

Pricing:

  • Free (open source)
P
PostgreSQL

Provides a bridge to PostgreSQL databases for executing SQL queries, managing tables, and inspecting schemas with support for prepared statements and multipl...

Database 515 12

5. MongoDB MCP

MongoDB's document-oriented flexibility pairs perfectly with AI assistants. This official server bridges MongoDB and conversational interfaces, enabling natural language database operations on your collections.

What makes it notable: MongoDB's schema-less nature requires different thinking than relational databases. This server handles document insertion, querying, aggregation pipelines, and Atlas cloud interactions—enabling AI-driven document management.

Capabilities:

  • Database and collection management
  • Document insertion, updating, and deletion
  • Aggregation pipeline execution for complex analytics
  • Schema inspection and collection analysis
  • MongoDB Atlas cloud integration

Pricing:

  • Free (open source)
MongoDB
M
MongoDB Official

Provides a bridge between MongoDB databases and conversational interfaces, enabling comprehensive database operations, collection management, schema inspecti...

Database 464 9

6. Neo4j MCP

Graph databases think differently about relationships, and Neo4j's MCP server unlocks this power for AI assistants. Query nodes, create relationships, and explore complex knowledge graphs using natural language.

What makes it notable: While SQL databases flatten relationships into joins, graph databases make relationships first-class. Neo4j's MCP server enables AI assistants to reason about connected data intuitively—perfect for knowledge graphs, recommendation engines, and relationship mapping.

Capabilities:

  • Natural language querying of graph databases
  • Node and relationship creation and traversal
  • Complex graph operations and path finding
  • Cypher query execution and optimization
  • Knowledge graph exploration and analysis

Pricing:

  • Free (open source)
N
Neo4j

Integrates with Neo4j graph databases to enable natural language querying, node creation, and complex graph operations for knowledge exploration and data rel...

DatabaseAnalytics and Data 701 0

7. ClickHouse MCP

When analytics is your priority, ClickHouse delivers lightning-fast queries on massive datasets. The official ClickHouse MCP server brings OLAP analytics capabilities directly into your AI workflow.

What makes it notable: ClickHouse compresses and analyzes terabytes of time-series and event data. This server works with either remote ClickHouse clusters or chDB's embedded OLAP engine, letting you query massive datasets or analyze local data efficiently.

Capabilities:

  • SQL queries across ClickHouse clusters
  • chDB embedded OLAP engine support for local analysis
  • Database and table listing and inspection
  • Safe query execution with performance monitoring
  • Time-series and event data analysis

Pricing:

  • Free (open source)
ClickHouse
C
ClickHouse Official1-Click Ready

Unlock powerful analytics with the ClickHouse MCP Server—seamlessly run, explore, and manage SQL queries across ClickHouse clusters or with chDB’s embedded O...

Database 579 5

8. Neon MCP

Neon brings serverless PostgreSQL to the modern cloud. The official Neon server manages your serverless Postgres databases, scaling compute automatically while maintaining full PostgreSQL compatibility.

What makes it notable: Serverless infrastructure means you pay only for what you use. Neon's MCP server integrates this modern architecture with AI assistants, letting them query databases that scale from zero to thousands of connections automatically.

Capabilities:

  • Serverless Postgres database management
  • Automatic scaling and compute provisioning
  • Full PostgreSQL query support
  • Branch creation and management
  • Cost-optimized database operations

Pricing:

  • Free for hobby tier; paid tiers start at $19/month
Neon
N
Neon Official1-Click ReadyRemote

Manage Neon's serverless Postgres databases.

Database 445 6

9. BigQuery MCP

Google BigQuery handles analytics at scale—petabytes of data with blazing-fast SQL queries. This server brings BigQuery's analytical power to AI assistants through natural language data exploration.

What makes it notable: BigQuery separates compute from storage, making it cost-effective for massive data warehouses. The MCP server lets you run analytical queries, explore datasets, and generate insights without writing complex SQL.

Capabilities:

  • Query Google BigQuery datasets via natural language
  • Dataset and table exploration
  • Complex analytical SQL execution
  • Result caching and optimization
  • Integration with Google Cloud ecosystem

Pricing:

  • Free tier with 1TB/month query limits; pay-as-you-go beyond that
B
BigQuery 1-Click ReadyRemote

Securely query and analyze Google BigQuery datasets via natural language.

DatabaseAnalytics and Data 516 6

10. Postgres MCP Pro

Advanced PostgreSQL deployments benefit from optimization expertise. Postgres MCP Pro brings AI-driven index tuning, execution plan analysis, and health checks to your production systems.

What makes it notable: Beyond basic query execution, this server analyzes your database performance. EXPLAIN plans, index recommendations, and health diagnostics help AI assistants understand not just what queries do, but how efficiently they run.

Capabilities:

  • AI-driven index optimization and tuning recommendations
  • EXPLAIN plan analysis and performance metrics
  • Database health checks and monitoring
  • Safe SQL execution with performance tracking
  • Query optimization suggestions

Pricing:

  • Free (open source)
P
Postgres MCP Pro

Boost your Postgres database performance with Postgres MCP Pro, an AI-driven MCP server offering advanced index tuning, detailed explain plans, and comprehen...

Database 433 7

Choosing Your Database MCP Server

The right choice depends on your stack:

  • Starting with Supabase? Use the Supabase MCP Server for complete project integration.
  • Multiple database engines? DBHub provides unified access across PostgreSQL, MySQL, SQLite, and DuckDB.
  • PostgreSQL-heavy? Choose between PostgreSQL for basics, PostgreSQL Multi-Schema for complex environments, or Postgres MCP Pro for optimization insights.
  • Document-oriented? MongoDB MCP handles collections and aggregations naturally.
  • Graph queries? Neo4j MCP reasons about relationships beautifully.
  • Analytics at scale? ClickHouse for events, BigQuery for data warehouses.
  • Serverless infrastructure? Neon combines PostgreSQL with auto-scaling.

Most developers benefit from combining multiple servers—Supabase for application data, BigQuery for analytics, Neo4j for knowledge graphs.

Browse all 135 Database MCP servers on FastMCP to find the right fit for your stack.