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MCP server · Data

Cockroachdb MCP

MCP server for CockroachDB clusters - Connect AI assistants to CockroachDB

Unclaimed Apache-2.0 last commit 8 months ago data
53Fair

Scored 3 months ago · breakdown

About Cockroachdb MCP

Cockroachdb MCP is an MCP server published by bpamiri in the Data category: mCP server for CockroachDB clusters - Connect AI assistants to CockroachDB. It has been installed 0 times through Conduid.

Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx cockroachdb-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

Ask AI about Cockroachdb MCP

Powered by Claude · Grounded in docs

I know everything about Cockroachdb MCP. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

cockroachdb-mcp

An MCP (Model Context Protocol) server for CockroachDB clusters. Enables AI assistants like Claude to query and interact with CockroachDB through natural language.

PyPI version

Features

  • Natural Language Queries: Ask Claude about your data in plain English
  • Schema Discovery: Explore databases, tables, columns, and indexes
  • CRUD Operations: Read, insert, update, and delete rows safely
  • Cluster Operations: Monitor cluster health and node status
  • Multi-Region Support: Query distributed data across regions
  • Data Export: Export query results to JSON or CSV
  • Transaction Support: Begin, commit, and rollback transactions
  • Knowledge Persistence: Claude remembers what it learns about your cluster
  • Safety Controls: Read-only mode, command blocking, row limits
  • Connection Watchdog: Automatic recovery from hung connections
  • OAuth Integration: Deploy as a Claude.ai Custom Connector with SSO

Quick Start

1. Install

pip install cockroachdb-mcp

2. Configure Claude Desktop

Edit your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "cockroachdb": {
      "command": "cockroachdb-mcp",
      "env": {
        "CRDB_HOST": "your-cluster.cockroachlabs.cloud",
        "CRDB_USER": "your-username",
        "CRDB_PASSWORD": "your-password",
        "CRDB_DATABASE": "your-database",
        "CRDB_CLUSTER": "your-cluster-id",
        "CRDB_READ_ONLY": "true"
      }
    }
  }
}

3. Restart Claude Desktop

Quit and reopen Claude Desktop. You'll see a hammer icon indicating tools are available.

4. Start Chatting

Ask Claude about your CockroachDB data:

"What tables are available?"

"Describe the users table"

"Show me the top 10 orders by total amount"

"What's the cluster health status?"

Documentation

Guide Description
Installation Complete installation guide
Configuration All configuration options
Tools Reference Detailed tool documentation
Usage Examples Common usage patterns
OAuth Setup Claude.ai integration with SSO

Available Tools

Connection & Cluster

Tool Description
connect Connect to the cluster
disconnect Close connections
cluster_status Get cluster health
list_nodes List cluster nodes

Schema Discovery

Tool Description
list_databases List all databases
list_tables List tables and views
describe_table Get column information

Query Execution

Tool Description
execute_query Run SELECT queries
validate_query Check query safety

CRUD Operations

Tool Description
read_rows Read rows by key or filter
insert_row Insert a new row
update_row Update existing row
delete_row Delete row by key

Transactions

Tool Description
begin_transaction Start transaction
commit_transaction Commit changes
rollback_transaction Rollback changes

Export & Knowledge

Tool Description
export_to_json Export to JSON
export_to_csv Export to CSV
save_knowledge Save learned info
get_all_knowledge Retrieve knowledge

Configuration

Required Variables

Variable Description
CRDB_HOST CockroachDB host
CRDB_USER Database username
CRDB_DATABASE Database name

Optional Variables

Variable Default Description
CRDB_PORT 26257 Database port
CRDB_PASSWORD Database password
CRDB_CLUSTER Cloud cluster ID
CRDB_SSLMODE require SSL mode

Safety Settings

Variable Default Description
CRDB_READ_ONLY false Block write operations
CRDB_MAX_ROWS 1000 Max rows per query
CRDB_BLOCKED_COMMANDS DROP,... Commands to block

Deployment Modes

Local (Default)

cockroachdb-mcp

HTTP/SSE Server

cockroachdb-mcp --http --host 0.0.0.0 --port 8080

Streamable HTTP (Claude.ai)

cockroachdb-mcp --streamable-http --host 0.0.0.0 --port 8080

Development

# Clone repository
git clone https://github.com/bpamiri/cockroachdb-mcp.git
cd cockroachdb-mcp

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Lint and format
ruff check .
ruff format .

# Type check
mypy src/

Security

  • Passwords and credentials are never logged
  • Configurable command blocklist
  • Optional read-only mode
  • Result size limits
  • Query validation
  • SSL/TLS encryption support

License

Apache-2.0. See LICENSE for details.

Links

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Cockroachdb MCP

How do I install Cockroachdb MCP?

Run npx cockroachdb-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Cockroachdb MCP safe to use with an AI agent?

Its trust score is 53 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Cockroachdb MCP still maintained?

The last commit was 8 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.