Audit report
pab1it0/prometheus-mcp-server
https://github.com/pab1it0/prometheus-mcp-server
Type: mcp · Audited 2026-05-22
Top fixes
- high
Get the server into public MCP config files
Get the server into public MCP config files. Few or none reference it today, and real adoption is the strongest trust signal an agent has.
Sub-scores
Discoverability
Agents can only recommend tools they can find. llms.txt and open robots.txt are the fastest wins.
Passing
- ✓Repository has a clear description (142)
- ✓Repository has topics/tags (6)
- ✓Identifiable as an MCP server
- ✓README opens with a one-line summary
Installation
Config-file appearances are the closest thing to a real install count for MCP servers.
Passing
- ✓README shows an MCP client config block
- ✓README has an install or run command
- ✓Ships a package manifest
- ✓Transport or configuration is documented
Tool definitions
Structured markup lets agents extract facts reliably instead of guessing from prose.
Passing
- ✓Ships a server.json manifest
- ✓README enumerates the tools
- ✓Tools are described, not just named
- ✓README shows usage examples
Documentation
Thin or poorly-described content gives agents nothing to summarise or cite.
Passing
- ✓Substantive README (1200+ chars) (8749)
- ✓README states what the server is for
- ✓README is organized into sections (9)
- ✓Versioned releases or a changelog
Trust & adoption
Models pattern-match provenance signals before recommending — missing basics trigger silent skips.
Missing
- ✗Appears in public MCP config files (0)
- ✗Discussed on Hacker News or Reddit (1)
Passing
- ✓Open-source license (MIT)
- ✓Pushed in the last 90 days (2)
- ✓Multiple contributors (18)
- ✓25+ GitHub stars (444)
- ✓Has tests or CI
- ✓Has tagged releases (v1.6.1)
Generated llms.txt
Drop this at /llms.txt on your domain.
# Prometheus MCP Server > A Model Context Protocol server implementation that enables AI agents to query Prometheus metrics and alerts. This project provides an MCP (Model Context Protocol) server that bridges AI agents with Prometheus monitoring systems. It allows language models to retrieve metrics data, query alerts, and gather observability information from Prometheus instances through a standardized interface. ## Products - MCP Server for Prometheus: Exposes Prometheus API endpoints as MCP tools for AI agent integration - Metrics Query Tool: Execute PromQL queries against Prometheus instances - Alert Management: Query active alerts and alert rules from Prometheus ## Documentation - [GitHub Repository](https://github.com/pab1it0/prometheus-mcp-server): Source code, setup instructions, and usage examples - [README](https://github.com/pab1it0/prometheus-mcp-server#readme): Implementation details and configuration guide ## Policies - Open source project (check repository for license) - Requires a running Prometheus instance to function - Designed for integration with Claude or other MCP-compatible AI agents - No built-in authentication; relies on Prometheus instance security configuration
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[](https://mcprank-green.vercel.app/r/github.com-pab1it0-prometheus-mcp-server-da8547)
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Discovery Report · free
The audit tells you whether agents CAN pick this server. Want to know whether they actually DO?
The Discovery Report measures which queries agents route to this server vs its rivals across multiple AI model families. It picks the one intent where you have the most leverage and gives you a concrete change to ship this week. Free.