SSH Rails Runner▌
by tadasant
SSH Rails Runner enables secure remote Rails console command execution via SSH for streamlined data and admin tasks in p
Enables safe remote execution of Rails console commands via SSH for efficient data operations and administrative tasks on production Rails applications.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Data analysis and wrangling on production Rails apps
- / Administrative tasks without complex admin UIs
- / Rails developers working with remote databases
- / Database operations with safety checks
capabilities
- / Execute read-only Rails console commands remotely
- / Run dry-run mutations before making changes
- / Execute approved database mutations via Rails console
- / Manage and store code snippets locally
- / Connect to production Rails apps over SSH
what it does
Executes Rails console commands remotely via SSH, providing safe read-only operations and controlled mutations on production Rails applications.
about
SSH Rails Runner is a community-built MCP server published by tadasant that provides AI assistants with tools and capabilities via the Model Context Protocol. SSH Rails Runner enables secure remote Rails console command execution via SSH for streamlined data and admin tasks in p It is categorized under databases, developer tools.
how to install
You can install SSH Rails Runner in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
SSH Rails Runner is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP Server: SSH Rails Runner
An MCP server that enables secure remote execution of Rails console commands via SSH. This server provides tools for both read-only operations and carefully managed mutations in a deployed Rails environment.
This works great with Cursor. You can use Cursor Composer to pull in your Rails model files as context and then use the execute_read_only, dry_run_mutate, and execute_mutate tools to make changes to the database. No need to trudge through complicated Admin UI's to get your data wrangling and analysis done.
Example

Features
- Remote Rails console execution over SSH
- Safe read-only operations
- Dry-run capability for mutations
- Execution of approved mutations
- Resource management for code snippets
Installation
npm install
npm run build
Configuration
Set the following environment variables:
SSH_HOST=your.remote.host
SSH_USER=your_ssh_user
SSH_PRIVATE_KEY_PATH=your_SSH_PRIVATE_KEY_PATH
RAILS_WORKING_DIR=/path/to/rails/app
Usage with Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"ssh-rails-runner": {
"command": "npx",
"args": ["mcp-server-ssh-rails-runner"],
"env": {
"SSH_HOST": "your.remote.host",
"SSH_USER": "your_ssh_user",
"SSH_PRIVATE_KEY_PATH": "your_SSH_PRIVATE_KEY_PATH",
"RAILS_WORKING_DIR": "/path/to/rails/app/root",
"PROJECT_NAME_AS_CONTEXT": "Name that shows up in tool descriptions to help the LLM describe what kind of Rails project we're working with.",
"CODE_SNIPPET_FILE_DIRECTORY": "/path/to/store/code/snippets/locally"
}
}
}
}
If CODE_SNIPPET_FILE_DIRECTORY is not provided, snippets will be stored in a temporary directory (e.g., /tmp/mcp-ssh-rails-runner-code-snippets).
PROJECT_NAME_AS_CONTEXT is optional and helps identify the project context in tool descriptions.
Available Tools
The server now uses a Prepare -> Execute workflow:
mcp_ssh_rails_runner_prepare_code_snippet
- Arguments:
name(string, for filename),type(enum: "readOnly" | "mutate"),code(string, Ruby code),description(string, optional). - Function: Saves the provided Ruby code to a local file named
code_snippet_<name>.json, marks it as read-only or mutate, and opens the file for review. - Returns: The
file://URI of the created snippet.
mcp_ssh_rails_runner_execute_code_snippet_read_only
- Arguments:
uri(string,file://URI fromprepareCodeSnippet). - Function: Reads the code snippet from the URI, verifies it's marked as
readOnly, performs a safety check on the code, and executes it. - Returns: The output of the Rails command.
mcp_ssh_rails_runner_execute_code_snippet_mutate
- Arguments:
uri(string,file://URI fromprepareCodeSnippet). - Function: DANGER ZONE! Reads the code snippet, verifies it's marked as
mutate, and executes it directly. There is no dry run or further safety check within this tool. - Returns: The output of the Rails command.
- Usage: ONLY CALL THIS AFTER THE USER HAS REVIEWED the prepared code (via the opened file from
prepareCodeSnippet) AND EXPLICITLY CONFIRMED they want to execute the mutation.
Security Considerations
- Only use with trusted SSH endpoints from your own local machine that is (temporarily) provided access to the remote environment.
- Crucially, always review the code saved by
prepareCodeSnippetbefore executing any mutation withexecuteCodeSnippetMutate. The responsibility for confirming mutations lies with the user and the calling AI.
License
MIT
FAQ
- What is the SSH Rails Runner MCP server?
- SSH Rails Runner is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for SSH Rails Runner?
- This profile displays 42 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Direct Database Queries from AI
Enable Claude to query your database directly using natural language
Example
Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Data Analysis & Reporting
Generate complex reports and analytics without leaving conversation
Example
Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Schema Exploration
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Data Validation & Quality Checks
Run data quality queries to catch anomalies and inconsistencies
Example
Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor with MCP support
- ›Database credentials (read-only recommended for safety)
- ›Network access from Claude client to database
- ›Understanding of database security and access control
Time Estimate
15-30 minutes including configuration and testing
Installation Steps
- 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 8.Document query patterns for team use
Troubleshooting
- ⚠Connection refused: Check database is running and network accessible
- ⚠Authentication failed: Verify credentials, check user permissions
- ⚠Claude can't see tables: Grant appropriate read permissions to database user
- ⚠Slow queries: Add indexes, limit result set size, use read replicas
- ⚠MCP server not loading: Check config syntax, restart Claude Desktop
Best Practices▌
✓ Do
- +Use read-only database credentials to prevent accidental writes
- +Connect to read replica, not production primary database
- +Set query timeout limits to prevent long-running queries
- +Document database schema and common queries for AI context
- +Monitor query performance and optimize slow queries
- +Use connection pooling for better performance
- +Test with non-production data first
✗ Don't
- −Don't use production write credentials—risk of data corruption
- −Don't query production database during peak traffic hours
- −Don't expose sensitive PII without proper access controls
- −Don't skip query result validation—AI can misinterpret schema
- −Don't allow unlimited result set sizes—set LIMIT clauses
- −Don't share database credentials in plain text config files
💡 Pro Tips
- ★Create database views for common queries to simplify AI access
- ★Add schema comments/descriptions so AI understands column meanings
- ★Use semantic table/column names ('customer_lifetime_value' not 'clv')
- ★Set up query logging to audit what Claude is querying
- ★Create saved query templates for recurring analysis
- ★Combine with data visualization tools for better insights
Technical Details▌
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
- Model Context Protocol (MCP)
- Database-specific protocols (PostgreSQL, MySQL, MongoDB)
Compatibility
- PostgreSQL
- MySQL
- SQLite
- MongoDB
- Redis
When to Use This▌
✓ Use When
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid When
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.
Integration▌
- →Read replica connection for analytics queries
- →Database view layer to abstract complex joins
- →Query result caching for repeated questions
- →Audit logging of all AI-generated queries
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.8★★★★★42 reviews- ★★★★★Kaira Haddad· Dec 12, 2024
Strong directory entry: SSH Rails Runner surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Dec 4, 2024
Strong directory entry: SSH Rails Runner surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Isabella Ramirez· Dec 4, 2024
I recommend SSH Rails Runner for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Isabella Gupta· Nov 27, 2024
Useful MCP listing: SSH Rails Runner is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Oshnikdeep· Nov 23, 2024
SSH Rails Runner is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Diya Jackson· Nov 23, 2024
We evaluated SSH Rails Runner against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Rahul Santra· Nov 19, 2024
Useful MCP listing: SSH Rails Runner is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Diya Li· Nov 3, 2024
SSH Rails Runner is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kiara Rao· Oct 22, 2024
We evaluated SSH Rails Runner against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Daniel Dixit· Oct 18, 2024
SSH Rails Runner reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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