A persistent Rails server for AI agents (no MCP needed). Avoids boot overhead for repeated queries via fast command-line access.
{
"mcpServers": {
"rails-agent-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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A persistent Rails server for AI agents that avoids boot overhead for repeated queries. Intended for AI agents like Claude Code that need fast Rails runner access without waiting for Rails to boot on every request.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 27 days ago. 8 stars.
Will it work with my client?
Transport: stdio, sse. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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A persistent Rails server for AI agents that avoids boot overhead for repeated queries. Intended for AI agents like Claude Code that need fast Rails runner access without waiting for Rails to boot on every request.
When using AI coding assistants or automation tools with Rails applications, the agent often needs to run many small queries via bin/rails runner to understand the runtime behaviour or state. Using bin/rails runner for each query means booting Rails every time, which can typically take 5-10 seconds per query.
Rails Agent Server starts a persistent background server that keeps Rails loaded in memory. The first request takes the normal Rails boot time, but subsequent requests are almost instant.
bin/rails console?AI agents can't easily interact with bin/rails console because:
Rails Agent Server provides a simple request/response interface over Unix sockets, making it trivial for AI agents to execute code and get clean results.
Spring is Rails' official application preloader, but it's designed for different use cases.
Spring keeps a preloaded Rails application in memory and uses fork() to create a new process for each command. When you run bin/spring rails runner, it forks the preloaded process, runs your code in isolation, and exits. Each invocation is stateless with a clean slate. This also means Spring can safely handle concurrent requests from multiple agents or parallel processes.
Rails Agent Server boots Rails once and keeps a single persistent session running. It accepts code over a Unix socket and evaluates it in the same long-running process. Variables and state persist between requests - like rails console, not rails runner. This means it's designed for single agent use - concurrent requests would share state unpredictably.
Both solve the "Rails is slow to boot" problem. Spring forks a fresh process for each command while Rails Agent Server runs code in a single persistent session.
# Server process (runs in background)
def run
load_rails_environment # Boot Rails once
create_unix_socket # Create socket file for communication
loop do
client = accept_connection # Wait for code to execute
code = client.read # Read the code string
output = capture_output do # Capture stdout/stderr
eval(code, TOPLEVEL_BINDING) # Execute in persistent session
end
client.write(output) # Send output back
client.close
end
end
# Client (called by rails_agent_server command)
def execute(code)
start_server unless server_running? # Auto-start if needed
socket = connect_to_server
socket.write(code) # Send code to evaluate
response = socket.read # Get output back
socket.close
puts response # Display to user
end
The key insight: code runs in TOPLEVEL_BINDING of a persistent process, so variables and state carry over between requests, just like in rails console.
Spring is a viable option if it works well for your team. Rails Agent Server is for teams that prefer to not use Spring.
MCP servers provide a structured way for AI agents to interact with systems through defined tools and resources. While MCP is excellent for complex, multi-step workflows and standardized