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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

7,731 servers. Last updated -

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    Provides seamless integration between AI assistants and Prometheus, enabling natural language interactions with your monitoring infrastructure. This server allows for effortless querying, discovery, and analysis of metrics.
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    15
    TypeScript
    MIT License
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    Provides access to Prometheus metrics and queries through standardized Model Context Protocol interfaces, allowing AI assistants to execute PromQL queries and analyze metrics data.
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    Python
    MIT License
    • Linux
    • Apple
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    A proof-of-concept Prometheus MCP server, which likely enables Claude AI to interact with Prometheus monitoring systems through the Model Context Protocol.
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    Python
    MIT License
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    MCP server for interacting with Prometheus metrics and data.
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    JavaScript
    MIT License
    • Apple
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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.
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    Python
    MIT License
    • Linux
    • Apple
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    A tool that lets users access Prometheus metrics data through a Model Context Protocol server, supporting authentication options for secure data retrieval.
    Last updated -
    1
    Python

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  • -
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    A tool that enables access to Prometheus metrics data through a Model Context Protocol server, allowing interaction with monitoring data using natural language.
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    A gateway that enables Generative AI systems to interact with and manage multiple Kubernetes clusters through the Model Context Protocol, supporting operations on Kubernetes resources and providing cluster observability.
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    A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.
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    • Apple
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    Facilitates deployment and management of services using the Model Context Protocol with a focus on high availability, scalability, and secure communication, leveraging Docker-based infrastructure, Prometheus, and Grafana for monitoring.
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    A Model Context Protocol server that provides seamless integration with Coroot observability platform, enabling monitoring of applications, analysis of performance metrics, examination of logs and traces, and management of infrastructure through Coroot's comprehensive API.
    Last updated -
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    2
    Python
    MIT License