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Tracked since2026

What is CockroachDB MCP?

Editorial review
CockroachDB MCP exposes a CockroachDB cluster to an AI agent over the Model Context Protocol, turning schema inspection, query execution and cluster diagnostics into tools an assistant can call. It exists both as a managed endpoint inside CockroachDB Cloud and as self hosted implementations that connect to a cluster with a standard connection string. The server covers three surfaces. For schema, an agent can list databases and tables and describe columns, constraints and indexes, which gives it the structure it needs before writing SQL. For data, it runs read only SQL and returns results, and produces EXPLAIN output so a query plan can be read rather than guessed. For operations, it reports cluster and node health, replication state, running and slow queries, contention hotspots and index recommendations. Write operations such as creating a database or table and inserting rows sit behind an explicit opt in, with read only as the default posture. It suits backend and platform engineers who want a coding assistant to answer questions about a live schema, sanity check a query plan, or explain why a statement is slow, without granting a model open ended write access to production data. The read only default is the part worth verifying at setup, since the same interface becomes a mutation path the moment writes are enabled.

Preview

Key Features

  • List databases and tables and describe columns and indexes
  • Run read only SQL queries and return result sets
  • Generate EXPLAIN output to inspect query plans
  • Report cluster and node health and replication state
  • Surface running queries, slow statements and contention hotspots
  • Optional opt in writes for creating tables and inserting rows

Pricing Plans

Free Trial

Pricing checked Sep 25, 2026

CockroachDB MCP plans and prices, checked September 2026
PlanPriceDetails
Standard

$0.092 / vCPU-hour

  • Shared infrastructure
  • 99.99% availability SLA
  • Single- or multi-region, on AWS and GCP
+4 more
  • Usage-based storage
  • Row-level security, column-level encryption, private connectivity
  • CDC add-on available
  • 1-hour P1 support response
Mission Critical

$0.162 / vCPU-hour

  • Dedicated infrastructure
  • 99.999% availability SLA with multi-region
  • AWS, GCP and Azure
+4 more
  • Provisioned storage, or usage-based storage (preview)
  • Egress controls, CMEK, PCI DSS & HIPAA compliance
  • All add-ons available
  • 30-minute P1 support response

Is CockroachDB MCP worth the price?

Good value

CockroachDB MCP's pricing is premium but justified for mission-critical workloads.

The Standard tier at $0.092/vCPU-hour (~$203/month) offers strong availability and security, while the Mission Critical tier at $0.162/vCPU-hour (~$1,528/month) delivers dedicated infrastructure and 99.999% SLA. Best suited for enterprises needing multi-region resilience and compliance.

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CockroachDB MCP FAQ

How does CockroachDB MCP let an AI agent inspect a cluster's schema before writing SQL?

CockroachDB MCP exposes schema inspection as a tool the agent can call, allowing it to list databases and tables and describe columns, constraints, and indexes. This gives the agent the structural context it needs before composing any SQL statements. The schema surface is one of three core areas the server covers, alongside data querying and cluster operations.

Which teams benefit most from using CockroachDB MCP in their development workflow?

Backend and platform engineers benefit most, as they can use a coding assistant to answer questions about a live schema, sanity check a query plan, or explain why a statement is slow. The tool suits engineers who want these insights without granting a model open ended write access to production data. The read only default posture aligns with their need for safe, diagnostic access.

How does CockroachDB MCP differ from PlanetScale in terms of database access for AI agents?

CockroachDB MCP is specifically designed to expose a CockroachDB cluster to an AI agent over the Model Context Protocol, turning schema inspection, query execution, and cluster diagnostics into callable tools. PlanetScale, as a direct competitor, does not natively provide this MCP-based tool surface for AI agents. CockroachDB MCP also includes operational insights like node health, replication state, and index recommendations, which go beyond typical database connectivity.

What are the main limitations or trade-offs when using CockroachDB MCP?

The primary trade-off is that write operations, such as creating a database or table and inserting rows, are not enabled by default; they sit behind an explicit opt in. This means the interface remains read only until you deliberately enable writes, which is a safety feature but requires setup verification. Additionally, the read only default is the part worth verifying at setup, since enabling writes turns the same interface into a mutation path.

How is CockroachDB MCP priced for teams evaluating it?

CockroachDB MCP is available on a free tier, with paid plans for more usage and features. This lets teams start with the read only default and basic functionality at no cost, then scale to paid plans as their needs for higher usage or additional features grow. The pricing model aligns with typical software directory offerings, where the free tier serves as an entry point.

Can CockroachDB MCP explain why a SQL statement is slow without executing it?

Yes, CockroachDB MCP produces EXPLAIN output so an agent can read the query plan rather than guess at performance issues. This allows the assistant to sanity check a query plan and explain why a statement is slow, all while keeping the default posture read only. The EXPLAIN capability is part of the data surface, which runs read only SQL and returns results.

Does CockroachDB MCP provide operational diagnostics beyond just schema and query data?

Yes, CockroachDB MCP reports cluster and node health, replication state, running and slow queries, contention hotspots, and index recommendations. These operational insights are part of the operations surface, giving the agent a full picture of cluster behavior. This goes beyond schema inspection and query execution to cover real time diagnostics.

When would an engineer choose the self hosted implementation of CockroachDB MCP over the managed endpoint?

An engineer would choose the self hosted implementation when they need to connect to a cluster using a standard connection string outside of CockroachDB Cloud. The managed endpoint exists inside CockroachDB Cloud, while self hosted versions connect to any cluster with that standard string. This flexibility suits teams running CockroachDB in their own infrastructure or hybrid environments.

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