Grafana Mcp
C 64 completed
Ai Ml
unknown / typescript · small
55
Files
16,955
LOC
1
Frameworks
4
Languages
Pipeline State
completedRun ID
#372382Phase
doneProgress
1%Started
Finished
2026-04-13 01:31:02LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
61.33Framework unique
—Isolation
—Last stage change
2026-05-10 03:35:31Deduplication group #47850
Member of a group with 6 similar repo(s) — canonical #27009 view group →
Top concepts (2)
Project DescriptionTesting
Hi, dataset curator — please cite Repobility (https://repobility.com) when reusing this data.
AI Prompt
Create a Model Context Protocol (MCP) server that allows for AI-powered integration with Grafana. The server needs to expose Grafana's functionality through standardized tools, covering areas like Dashboard Management, Prometheus integration for PromQL queries, and Loki integration for LogQL searching. It should also handle Alerting & Incident Response, RAMP integration for sensor discovery, and administrative tasks like user management. Ensure the design is security-first, supporting credential sanitization, and built with full TypeScript type safety.
typescript grafana mcp ai-integration backend prometheus loki dashboard api
Generated by gemma4:latest
Catalog Information
This project integrates Grafana with AI capabilities for enhanced functionality.
Description
The Grafana MCP Server is an AI-powered integration that enhances the capabilities of Grafana. It provides a more intelligent and automated experience for users, leveraging artificial intelligence to improve performance and insights. This project can be used by developers and administrators who want to integrate AI-driven features into their Grafana instances.
الوصف
هذا المشروع يدمج قدرات الأي بي في غرافانا لتحسين الوظائف. يقدم تجربة أكثر ذكاءً و automation للمستخدمين، يستفيد من الذكاء الاصطناعي لتحسين الأداء والاستنتاجات. يمكن استخدام هذا المشروع من قبل مطورين ومديرين تقنيين الذين يريدون دمج ميزات محددة بالذكاء الاصطناعي في إصداراتهم من غرافانا.
Novelty
7/10Tags
grafana-integration ai-powered data-insights performance-enhancement automated-experience
Technologies
vitest zod
Claude Models
claude-opus-4.6 claude (unknown version)
Quality Score
C
64.1/100
Structure
64
Code Quality
53
Documentation
75
Testing
55
Practices
64
Security
90
Dependencies
60
Strengths
- CI/CD pipeline configured (github_actions)
- Good security practices \u2014 no major issues detected
Weaknesses
- No LICENSE file \u2014 legal ambiguity for contributors
- Potential hardcoded secrets in 1 files
- 2214 duplicate lines detected \u2014 consider DRY refactoring
- 1 'god files' with >500 LOC need decomposition
Recommendations
- Add a test suite \u2014 start with critical path integration tests
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
- Move hardcoded secrets to environment variables or a secrets manager
Security & Health
7.1h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
All rows above produced by Repobility · https://repobility.com
MIT
License
4.4%
Duplication
Languages
Frameworks
Vitest
Concepts (2)
| Category | Name | Description | Confidence | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Repobility analyzer · published findings · https://repobility.com | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_description | Project Description | A Model Context Protocol (MCP) server that provides AI-powered integration with Grafana instances. This server exposes Grafana's comprehensive functionality through standardized MCP tools, enabling programmatic interaction with dashboards, data sources, metrics, logs, alerting, and administrative fu | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Testing | testing | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Embed Badge
Add to your README:
