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 (0β100)
- Generate a clear reliability report
- Detect patterns of failure
All pure computation β 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 β 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.
