MCP Agent Reliability Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Agent Reliability Servergenerate a reliability report for today"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: Agent Accountability MCP Server
Quick Start
# Install
pip install -e .
# Run the MCP server (stdio)
python -m src.server
# Or with uv
uvx mcp-agent-reliabilityAdd 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 |
| Record a tool call outcome (name, success, latency_ms, optional error) |
| Get overall or per-tool reliability score (0-100) |
| Full markdown report with scores, top failures, recommendations |
| Clear all logged data (for testing) |
| 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.
This server cannot be deployed
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