Going beyond AI chat response: How we're building an agentic system to drive Grafana
Blog post from Grafana Labs
Grafana is exploring the integration of agentic AI systems into its platform to enhance user experience beyond simple chat responses, focusing on task completion using natural language. This approach involves teaching large language models (LLMs) to "speak" Grafana through the Model Context Protocol (MCP), allowing them to access real-time data and perform tasks such as creating dashboards or managing incidents. At GrafanaCON 2025, the company introduced Grafana Assistant, a tool designed to democratize the observability experience by enabling users to interact with Grafana using natural language, making complex systems more accessible to both seasoned and new users. The development of these agentic systems poses challenges, including creating reliable, modular agents and reducing token noise, but aims to improve productivity and efficiency in observability workflows. Grafana is inviting users to participate in the evolution of these AI-driven workflows by engaging with the open-source Grafana MCP Server and trying the Grafana Assistant in private preview.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 13 | 3,482 | 526 | 172 | -8% |
| MCP | 8 | 2,460 | 213 | 96 | -18% |
| Observability | 6 | 1,870 | 422 | 128 | +10% |
| Developer Experience | 1 | 907 | 292 | 92 | +156% |
| Multi-agent systems | 1 | 386 | 64 | 41 | +146% |
| Real-time | 1 | 4,075 | 1,042 | 211 | +22% |
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