claude mcp add charo360-statecli -- npx -y statecli-mcp-server
{
"mcpServers": {
"charo360-statecli": {
"command": "npx",
"args": ["-y", "statecli-mcp-server"]
}
}
}
{
"mcpServers": {
"charo360-statecli": {
"command": "npx",
"args": ["-y", "statecli-mcp-server"]
}
}
}
{
"mcpServers": {
"charo360-statecli": {
"command": "npx",
"args": ["-y", "statecli-mcp-server"]
}
}
}
About This MCP Server
The io.github.charo360/statecli server provides a Model Context Protocol server for state replay and self-debugging of AI agents, enabling features such as tracking, replaying, undoing, and checkpointing. This server connects to AI coding assistants through standard input/output interfaces, allowing developers to debug and analyze the behavior of their AI models. Developers would use this tool when they need to understand and refine the decision-making processes of their AI agents, particularly during the testing and debugging phases of development.
State replay and self-debugging for AI agents. Track, replay, undo, checkpoint.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.
Package
statecli-mcp-server on npm
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.
What tools does it provide?
The statecli server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
