MCP Servers for Prometheus

Prometheus is an open-source systems monitoring and alerting toolkit. It collects and stores metrics as time series data, with flexible queries and real-time alerting.

View all MCP Servers

  • Why this server?

    Enables monitoring of the MCP server using Prometheus-compatible clients.

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    An MCP server to interact with a Tinybird Workspace from any MCP client.
    Last updated 2 months ago
    48
    Python
    Apache 2.0
    • Apple
  • Why this server?

    Allows to interact with Prometheus metrics and data, including listing and accessing metric schema, metadata, and statistical information (count, min, max values)

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    MCP server for interacting with Prometheus metrics and data.
    Last updated 3 months ago
    8
    JavaScript
    MIT License
    • Apple
  • Why this server?

    Collects metrics from AI model operations, enabling detailed monitoring of performance, usage patterns, and resource utilization.

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    A high-performance FastAPI server supporting Model Context Protocol (MCP) for seamless integration with Large Language Models, featuring REST, GraphQL, and WebSocket APIs, along with real-time monitoring and vector search capabilities.
    Last updated a day ago
    5
    Python
    MIT License
  • Why this server?

    Enables data retrieval and analysis from Prometheus databases, including fetching specific metrics, performing statistical analysis, searching metric usage patterns, and executing complex PromQL queries for in-depth data exploration.

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    An MCP server that enables Large Language Models to retrieve, analyze, and query metric data from Prometheus databases through pre-defined routes.
    Last updated 6 days ago
    16
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Enables querying and monitoring metrics through Prometheus, including instant queries, range queries, alerts, and targets

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    A server implementation that provides a unified interface for OpenAI services, Git repository analysis, and local filesystem operations through REST API endpoints.
    Last updated 3 days ago
    Python
    • Linux
    • Apple
  • Why this server?

    Collects and stores monitoring metrics for the MCP server deployment

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    Provides a scalable, containerized infrastructure for deploying and managing Model Context Protocol servers with monitoring, high availability, and secure configurations.
    Last updated 2 months ago