MCP Agent Reliability Server

Daily AI Project by Grok for Prince Ruhul / Prevalid
Date: 2026-07-29

What problem does this solve?

AI agents call tools all day. Sometimes they succeed, sometimes they fail silently.
Entrepreneurs and founders have no easy way to see "Is my agent actually reliable?"

This MCP server gives any AI agent (Claude, Cursor, Gemini, etc.) simple tools to:

• Log every tool call result (success / fail + latency)
• Calculate a live reliability score (0–100)
• Generate a clear reliability report
• Detect patterns of failure

All pure computation — no paid API required. Runs locally or on any serverless.

Quick Start

# Install
pip install -e .

# Run the MCP server (stdio)
python -m src.server

# Or with uv
uvx mcp-agent-reliability

Add to your Claude Desktop / Cursor MCP config:

{
  "mcpServers": {
    "agent-reliability": {
      "command": "python",
      "args": ["-m", "src.server"],
      "cwd": "/path/to/this/repo"
    }
  }
}

Tools exposed

Tool	Description
log_tool_call	Record a tool call outcome (name, success, latency_ms, optional error)
get_reliability_score	Get overall or per-tool reliability score (0-100)
generate_reliability_report	Full markdown report with scores, top failures, recommendations
reset_stats	Clear all logged data (for testing)
list_tracked_tools	See which tools have been logged so far

Why this is valuable for entrepreneurs

• You can finally measure if your AI agent is production-ready
• Agents can self-report their health before critical tasks
• Zero cost — no external API keys needed
• Works with the new stateless MCP (July 28 2026 update)

License

MIT

Built as part of the Daily AI Project series for Prevalid.