Top 12 MCP Servers for Databases in 2026

Databases are where the real work happens for most AI agents. Whether you are building a support bot that looks up orders, a data-analyst copilot that writes SQL, or an autonomous workflow that reads and writes application state, a database MCP server is the bridge between your model and your data. Model Context Protocol (MCP) has quickly become the standard way to expose that access, and 2026 has brought official servers from nearly every major database vendor — Postgres, MongoDB, Redis, Snowflake, Elasticsearch and more.

But a database connection is one of the most sensitive things you can hand to an agent. It can read customer records, run destructive DDL, or become the exfiltration channel in a prompt-injection attack. That is why this list is different from the usual star-count roundup: every server below has been scanned by MCP Trust Checker, our deterministic security engine, so you can see each server's A–F Trust Score alongside what it actually does.

How to read the grade: the score runs 0–100 and maps to a letter, A being safest. It reflects the code the server ships — its capabilities, its handling of untrusted input, and any high-severity findings we detected. A high grade is not a promise that a server is risk-free; it means our scan found little to worry about in the published source. Where a server carries high-severity findings, we say so plainly and link you to the details. Here are our top 12 database MCP servers for 2026, best-first.

1. Postgres MCP Pro (Crystal DBA)

The most capable dedicated PostgreSQL server on the list, and our top overall pick. Beyond running queries, it turns an agent into a working Postgres DBA: database health checks (index health, cache hit rates, vacuum and bloat, replication lag), serious index tuning, and EXPLAIN plan analysis with hypothetical-index simulation. Access is configurable between read-only and read/write, and it supports both stdio and SSE transports. If Postgres is your primary store, start here.

MCP Trust Score: A (98/100) · GitHub · PyPI

2. Supabase MCP Server

The official Supabase server, and one of the most-installed database MCPs anywhere. It exposes the whole Supabase platform, not just the underlying Postgres: list, create and alter tables, run read-only SQL, inspect schema, fetch project config, and manage branches, auth, storage and edge functions. A natural pick if your stack is already built on Supabase. It earns a perfect score with no high-severity findings and a minimal capability footprint.

MCP Trust Score: A (100/100) · GitHub · npm

3. MongoDB MCP Server

The official MongoDB server, covering both self-managed MongoDB and Atlas. Agents can run find and aggregate queries, inspect collections and indexes, perform CRUD, and manage Atlas resources such as clusters and users — all in natural language, with a read-only mode available for safety. It is the de-facto MCP for the leading document database.

Honest note: while its base score is a perfect 100, our scan flags 4 high-severity findings and rates it a high capability server — expected for a tool that can create users and mutate clusters. Review those findings on its registry page and run it in read-only mode unless you specifically need write and admin access.

MCP Trust Score: A (100/100) · GitHub · npm

4. DBHub

Bytebase's universal database gateway. One MCP endpoint speaks to PostgreSQL, MySQL, MariaDB, SQL Server and SQLite (plus Oracle and others), which makes it the obvious choice when your agent needs to reach several relational engines without wiring up a separate server for each. It runs via npm or Docker and enforces read-only mode when you want it.

Our scan gives it a perfect base score but flags 1 high-severity finding at a moderate capability level; it is worth a quick look at the registry page before you point it at production credentials.

MCP Trust Score: A (100/100) · GitHub · npm

5. ClickHouse MCP Server

The official server for ClickHouse, the columnar OLAP database behind a lot of real-time analytics and observability stacks. Agents can list databases and tables, inspect schemas, and run read-only analytical SQL — against self-hosted ClickHouse, ClickHouse Cloud, or the embedded chDB engine. Clean bill of health from our scan: no high-severity findings and a minimal capability footprint.

MCP Trust Score: A (98/100) · GitHub · PyPI

6. Redis MCP Server

The official Redis server, exposing the full Redis data model to agents: strings, hashes, lists, sets, sorted sets, streams, pub/sub, and vector search. That makes it useful well beyond caching — think session state and semantic memory for RAG-style workloads. It scores an A with no high-severity findings and minimal capabilities.

MCP Trust Score: A (98/100) · GitHub · PyPI

7. MySQL MCP Server (benborla)

With no first-party MySQL MCP to lean on, the community filled the gap, and this is the most-starred result. It connects agents to MySQL and MariaDB with read-only access by default and optional, explicitly-gated write and DDL operations, plus schema exploration and multi-database access. A perfect score, no high-severity findings, and a minimal capability footprint make it a safe standard pick for MySQL stacks.

MCP Trust Score: A (100/100) · GitHub · npm

8. Elasticsearch MCP Server

The official Elastic server for connecting agents to Elasticsearch indices. It can list indices, read mappings, and run search and aggregation queries — including full-text and vector search — via natural language, which is the standard way to put an LLM in front of an Elasticsearch cluster. Perfect score, no high-severity findings.

MCP Trust Score: A (100/100) · GitHub · npm

9. Snowflake MCP Server (Snowflake Labs)

The official Snowflake Labs server for the Snowflake data cloud. It offers SQL orchestration with configurable statement permissions, Cortex AI (search and analyst) access, semantic view consumption, and object management — governed access to a warehouse rather than a raw SQL pipe. It scores an A with no high-severity findings and a minimal capability rating.

MCP Trust Score: A (98/100) · GitHub · PyPI

10. MotherDuck / DuckDB MCP Server

The official server for DuckDB and MotherDuck. It runs analytical SQL against local DuckDB files, in-memory databases, S3-hosted data, or the MotherDuck cloud, in read-only or read-write modes. It is a great fit for fast local and embedded analytics or lakehouse-style querying straight from an agent.

Honest note: the base score is a strong 98, but our scan flags 1 high-severity finding and rates it a high capability server — unsurprising given it can read from local files and cloud storage. Check the finding on its registry page before granting broad filesystem or S3 access.

MCP Trust Score: A (98/100) · GitHub · PyPI

11. Qdrant MCP Server

The official Qdrant server, which turns the Qdrant vector database into a semantic memory layer for LLMs. Built on FastMCP, it exposes tools to store documents with embeddings and retrieve them by vector similarity — the reference implementation for RAG and long-term agent memory over a dedicated vector store. It scores an A with no high-severity findings and minimal capabilities.

MCP Trust Score: A (98/100) · GitHub · PyPI

12. Neon MCP Server

The official server for Neon serverless Postgres. It manages Neon projects and branches and runs SQL against Neon databases, with agent-friendly features like spinning up throwaway database branches for testing. One thing to know: the published npm package now steers users toward Neon's hosted remote MCP endpoint at mcp.neon.tech. It scores an A with no high-severity findings and a moderate capability rating.

MCP Trust Score: A (98/100) · GitHub · npm

How we graded these

Every score here comes from MCP Trust Checker, an open-source, deterministic engine that reads the actual source published to npm or PyPI — no large language model is in the loop, so the same input always produces the same score. It models each server's capability flow, looks for toxic-flow patterns that could turn a database connection into an exfiltration path, and surfaces high-severity findings you can inspect line by line. Because it is deterministic and source-based, you can re-run it on any version and compare. Learn more about the methodology at /registry/security.

This is a top-12 list, not the full field. Browse every graded database server — with filters by grade, capability level and package registry — at /registry/category/databases, and scan any package you are considering yourself, free, via our public API. When an agent is one prompt away from your production data, checking the Trust Score first is the cheapest security you will ever buy.

npx mcptrustchecker