Skip to main content
Glama
amranu

DigitalOcean MCP Server

by amranu

Related Servers

Alternatives to DigitalOcean MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      A Model Context Protocol (MCP) server that provides programmatic access to DigitalOcean's API. This server exposes tools for managing droplets, Kubernetes clusters, and container registries through the MCP interface.
      4
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      MCP server that enables AI assistants to explore and generate code for type-safe OpenAPI clients from various cloud APIs like DigitalOcean, Hetzner Cloud, and Ory.
      7
      1 npm
      18
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Transforms OpenAPI specs into an MCP server, enabling dynamic API interaction through natural language with automatic authentication and endpoint discovery.
      131 npm
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Natural language API discovery MCP server. Search 700+ API capabilities across 163 current providers, get, exact endpoints, auth setup, and code snippets. Supports auto-discovery of new APIs.
      3
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      An MCP server for API discovery and execution with a token-efficient search -> execute workflow over OpenAPI, Google Discovery, and optional native GraphQL and gRPC sources.
      69 npm
      12
      Apache 2.0

    TDQS

    B3.1/5.0

    Scored across 6 tools

    Disambiguation3/5

    The tools have some clear distinctions, such as list_endpoints vs. search_endpoints, but there is significant overlap and ambiguity. For example, call_digitalocean_api and get_endpoint_details both relate to endpoint interactions, and configure_digitalocean_api is a setup tool that might be confused with the others in practice. The descriptions help clarify, but the boundaries between endpoint-related tools are not sharply defined.

    Naming Consistency4/5

    The tool names follow a mostly consistent verb_noun pattern, such as list_endpoints, get_endpoint_details, and search_endpoints. However, there are minor deviations like call_digitalocean_api (which uses 'call' instead of a more specific verb) and configure_digitalocean_api (which is more of a setup action). Overall, the naming is readable and predictable with only slight inconsistencies.

    Tool Count4/5

    With 6 tools, the count is reasonable for a server focused on DigitalOcean API interactions. It covers configuration, listing, searching, and calling endpoints, which aligns well with the apparent scope. However, it might be slightly thin if more granular operations (e.g., specific resource management) are expected, but it's well-scoped for its purpose.

    Completeness3/5

    The tool set provides basic coverage for exploring and using DigitalOcean APIs, including configuration, listing, searching, and calling endpoints. However, there are notable gaps: it lacks direct CRUD operations for DigitalOcean resources (e.g., droplets, volumes, databases), which are core to the domain. This makes the surface incomplete for full agent workflows, as users might need to rely heavily on generic API calls instead of dedicated tools.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues