reverify
Stop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
MCP server by modelcontextprotocol · ★ 91.2k (shared repo) · updated 3 days ago
Provides a tool for dynamic, reflective problem-solving: break problems into steps, revise thoughts, and branch into alternative reasoning paths.
Choose your AI client and copy the config.
Add to claude_desktop_config.json — macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Then restart Claude.
{
"mcpServers": {
"sequentialthinking": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}Or add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
{
"mcpServers": {
"sequentialthinking": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}Or add to .vscode/mcp.json in your workspace.
{
"servers": {
"sequentialthinking": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-sequential-thinking"
]
}
}
}Run in your terminal:
claude mcp add sequentialthinking -- npx -y @modelcontextprotocol/server-sequential-thinkingRun the server directly:
npx -y @modelcontextprotocol/server-sequential-thinkingStop your AI from making things up — it proposes, deterministic tools decide, every claim checked against ground truth with evidence. Grounded facts and context survive resets. Reverse engineering is the proving ground. MCP server + CLI.
Local MCP work notes with persistent sessions, decisions, evidence and resumable tasks.
🧠 An adaptation of the MCP Sequential Thinking Server to guide tool usage. This server provides recommendations for which MCP tools would be most effective at each stage.
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks
An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.