Best MCP Servers for Databases in 2026

The best MCP servers for databases in 2026 are the official servers from Supabase, Neon, PlanetScale, Prisma, MongoDB, Redis, Firebase and Pinecone, plus Google's open-source MCP Toolbox for Databases, which connects to many engines. They let an AI assistant describe schemas, run queries and, with permission, create tables, run migrations and manage branches.

MCP (Model Context Protocol) is the open standard that lets AI apps such as Claude Code, Cursor and ChatGPT call outside tools. A database is where an AI mistake hurts most, so this list puts write safety first: read-only modes, branches and confirmation prompts.

We checked every entry against the vendor's own site or docs on 28 October 2026. We did not test these products.

How we chose

We used the MCP Guide's standard listicle criteria:

• Live and public. The database vendor must publish and document its own MCP server. We opened every page on 28 October 2026.
• Clear pricing. Prices come only from official pricing pages.
• Security basics. The docs must describe authentication and, for databases, how to limit writes.

This list covers operational databases your apps run on. For warehouses and analytics tools such as BigQuery and Snowflake, see the best MCP servers for data analytics. The order is not a ranking. More lists are on the MCP Guide's best-of hub.

Comparison at a glance

1. Supabase: Postgres backends with scoping and read-only

What it is. The Supabase MCP server lets AI tools list tables, run SQL, apply migrations, read logs and deploy Edge Functions. You can "Scope the MCP server to a project," turn on read-only mode and choose feature groups. With supported clients, execute_sql and apply_migration "ask for confirmation when they detect destructive SQL."

Best for: Developers building apps on Supabase who want AI help with schema and debugging.

Pricing: No separate MCP fee. Supabase's pricing page lists Free at $0, Pro at $25 per month and Team at $599 per month.

Pros:

• Read-only mode and project scoping are built into the setup screen.
• Feature groups let you hide tools you don't need.
• Log queries help with debugging.

Cons:

• Supabase says the destructive-SQL check "may not catch every destructive" statement.
• Branching tools need a paid plan, per our profile.

Checked against: Supabase docs on 28 October 2026. Full profile: Supabase MCP server. Setup: connect Claude Code to Supabase.

2. Neon: serverless Postgres, branch-first migrations

What it is. The Neon MCP server manages Neon projects, branches, queries and migrations in plain language. It uses Neon's branching for schema changes. Neon advertises read and write OAuth scopes, and read-only mode disables "creating projects, branches, or running migrations."

Best for: Developers prototyping and changing schemas on Neon from an IDE.

Pricing: No separate MCP fee. Neon's pricing page lists a Free plan at $0 "with no time limits," and usage-based paid plans priced per compute-hour and per GB-month.

Pros:

• Read-only mode is easy to set through OAuth scopes.
• Migrations can be tested on a branch first.
• An organization API key limits access to that organization's projects.

Cons:

• Neon says "We do not recommend using the Neon MCP Server in production environments."
• Write mode can create projects and branches that add cost.

Checked against: Neon's GitHub repository on 28 October 2026. Full profile: Neon MCP server.

3. PlanetScale: fine-grained access for production databases

What it is. The PlanetScale MCP server works with PlanetScale Postgres and Vitess databases, branches, schema and Insights data. You choose "no access, read-only access, or full access to databases at the organization or per-database level." PlanetScale says "Each query uses short-lived, ephemeral credentials that are created on demand and deleted immediately after execution."

Best for: Teams running production databases that want AI query help without broad write access.

Pricing: No separate MCP fee. PlanetScale's pricing page lists single-node Postgres from $5 per month and Metal from $50 per month.

Pros:

• Org admins can block write queries for all members.
• An Insights-only endpoint excludes query tools entirely.
• Service tokens for CI and headless agents.

Cons:

• PlanetScale itself advises "caution when giving LLMs write" access.
• Payment-method access is a separate setting you must remember to restrict.

Checked against: PlanetScale docs on 28 October 2026. Full profile: PlanetScale MCP server.

4. Prisma Postgres: databases, backups and Compute apps

What it is. The Prisma MCP server works with Prisma Postgres databases and Prisma Compute apps in your selected workspace. Tools cover workspace details, databases, SQL, schema updates and backups. Prisma warns that tools "that change or delete resources can cause data loss or interrupt live traffic."

Best for: Teams already using Prisma ORM and Prisma Postgres.

Pricing: No separate MCP fee. Prisma's pricing page lists Free at $0 per month and Starter at $10 per month.

Pros:

• Hosted, with Prisma account sign-in and workspace selection.
• Backup and restore tools help recover from mistakes.
• Clear warnings in the tool reference.

Cons:

• Our profile found no global read-only mode documented.
• Destructive tools rely on you reviewing each approval.

Checked against: Prisma docs on 28 October 2026. Full profile: Prisma MCP server.

5. MongoDB: documents and Atlas clusters

What it is. The MongoDB MCP server connects to MongoDB databases and Atlas clusters. MongoDB's README says "All examples below include --readOnly by default to ensure safe, read-only access to your data." An Atlas-hosted version uses OAuth and is "the recommended way to connect to MongoDB Atlas."

Best for: Teams on MongoDB or Atlas who want AI help with queries, aggregations and indexes.

Pricing: No separate MCP fee. MongoDB's pricing page lists Atlas Free at $0 and Flex from $0.011 per hour, up to $30 per month.

Pros:

• Read-only is the documented default.
• Hosted OAuth option avoids pasting connection strings.
• Open source under Apache-2.0.

Cons:

• Removing --readOnly unlocks writes and Atlas cluster changes.
• Local setups store a connection string with credentials.

Checked against: MongoDB's GitHub repository on 28 October 2026. Full profile: MongoDB MCP server. Setup: connect VS Code to MongoDB.

6. Redis: caches, streams and vector indexes

What it is. The official Redis MCP server is "a natural language interface" for storing, reading and searching data in Redis, including hashes, streams, JSON and vector indexes. It runs locally, and our profile notes you can limit it with Redis ACLs.

Best for: Developers who use Redis for caching, queues or vector search.

Pricing: Free and open source (MIT). Redis's pricing page lists a Free cloud tier up to 30 MB and Essentials from $5 per month.

Pros:

• Covers many Redis data types, including vectors.
• Redis ACLs give database-level limits.
• Entra ID sign-in for Azure Managed Redis, per our profile.

Cons:

• No hosted option, so a developer must run it.
• Write commands can flush or overwrite cached data.

Checked against: Redis's GitHub repository on 28 October 2026. Full profile: Redis MCP server.

7. Firebase: Firestore, Auth and more for app teams

What it is. The Firebase MCP server ships with the Firebase CLI. It can work with Firestore, Auth, Storage, Crashlytics and other Firebase services. Its --only flag takes "A comma-separated list of feature groups to activate," so you can expose just the tools you use.

Best for: Mobile and web teams building on Firebase.

Pricing: No separate MCP fee. Firebase's pricing page lists the no-cost Spark plan and the pay-as-you-go Blaze plan.

Pros:

• --only keeps the tool list small.
• Uses your existing Firebase CLI login.
• Covers app services beyond the database.

Cons:

• Write tools can change live app data, so treat it as a production tool.
• Runs locally, not as a hosted server.

Checked against: Firebase docs on 28 October 2026. Full profile: Firebase MCP server.

8. Pinecone: vector database for AI apps

What it is. The Pinecone MCP server lets AI tools "Search Pinecone documentation," help configure indexes, generate code informed by your index setup, and "Upsert and search for data in indexes."

Best for: Developers building retrieval and search features on Pinecone.

Pricing: Free and open source. Pinecone's pricing page lists a free Starter plan, Builder at $20 per month flat, and Standard and Enterprise plans.

Pros:

• Combines documentation search and index tools.
• Helpful for testing queries during development.
• Open-source code.

Cons:

• Uses an API key in an environment variable.
• Upserts change production indexes if you point it at one.

Checked against: Pinecone's GitHub repository on 28 October 2026. Full profile: Pinecone MCP server.

9. MCP Toolbox for Databases: one open-source server, many engines

What it is. Google's MCP Toolbox for Databases "is an open source MCP server for databases." It supports Google Cloud databases (AlloyDB, BigQuery, Cloud SQL, Spanner and Firestore) and others such as PostgreSQL and MySQL. It handles "connection pooling, integrated auth (IAM), and end-to-end observability (OpenTelemetry)."

Best for: Teams with several database types, or on Google Cloud, that want one consistent server.

Pricing: Free and open source (Apache-2.0). You pay for the databases it connects to.

Pros:

• One server for many engines.
• Prebuilt tool sets, such as SQL-only tools, limit what loads.
• Built-in tracing helps with auditing.

Cons:

• You run and maintain it yourself.
• The repository moved from genai-toolbox to mcp-toolbox, so older guides may have stale links.

Checked against: Google's GitHub repository on 28 October 2026. Related profile: BigQuery MCP server.

Safety rules for database MCP servers

Databases hold customer records and money. A wrong DELETE is not a typo you can fix with undo. Use these rules:

1. Never point a write-enabled AI at production first. Use a branch (Neon, PlanetScale, Supabase) or a copy.
2. Default to read-only. Supabase, Neon, MongoDB and PlanetScale all support it.
3. Scope tightly. Limit to one project or database, and hide tool groups you don't need.
4. Keep confirmations on. Don't skip destructive-SQL prompts.
5. Watch for injected instructions. Data in rows can contain text that tries to steer the AI. See MCP prompt injection and excessive permissions.

For a head-to-head, see Supabase vs Neon MCP. For other developer servers, see the best MCP servers for developers.

Next step

If you need an AI to work with an internal database safely, such as read-only views with row limits and an audit trail, our MCP development team can build a narrow server around it.

Frequently asked questions