Skip to main content
Glama
motionharvest

Replicate Anywhere

by motionharvest
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Remote

Related Servers

Alternatives to Replicate Anywhere

No user-submitted related servers found.

    Related Servers

    • fal-mcp-server

      avieirox
      F
      license
      Not graded
      quality
      C
      maintenance
      Personal MCP server that gives AI assistants full access to fal.ai's 1,000+ models via local API key, with tools for searching, running, and managing AI jobs.
      -

    • Outsource MCP

      gwbischof
      A
      license
      A
      quality
      D
      maintenance
      An MCP server that enables AI applications to access 20+ model providers (including OpenAI, Anthropic, Google) through a unified interface for text and image generation.
      2
      30
      MIT

    • Jilebi

      Datron
      A
      license
      Not graded
      quality
      B
      maintenance
      A plugin-based MCP server that enables AI assistants to interact with external systems through custom tools, resources, and prompts.
      4
      AGPL 3.0

    • Fattly

      industriesfatty-spec
      A
      license
      A
      quality
      A
      maintenance
      Generate AI images, video, voiceovers and music from Claude, Cursor or VS Code through 50+ models (Veo 3.1, Kling 3, Seedance, Nano Banana, GPT Image, ElevenLabs). Upload photos for edits and image-to-video. Tools are annotated (read-only vs. credit-spending); failed generations are refunded. Local via npx or hosted with OAuth at fattly.app.
      6
      5 npm
      MIT

    • OpenRouter MCP Server

      lumishoang
      F
      license
      A
      quality
      C
      maintenance
      An MCP server for discovering and querying over 300 AI models available on OpenRouter. It enables users to list, search, filter, compare, and get detailed information about models with pricing, context limits, and capabilities.
      5
      1
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.2/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a distinct role in the model-running workflow: search vs browse, get info, run, and check status. There is no overlap between search-models and list-models because the former is for specific queries and the latter for browsing.

    Naming Consistency5/5

    All tool names use a consistent verb_noun pattern in snake_case: search-models, get-model-info, run-model, list-models, check-prediction. This makes the API predictable and easy to navigate.

    Tool Count5/5

    With 5 tools, the server is well-scoped for its purpose of running Replicate models. Each tool covers a necessary step in the workflow without unnecessary bloat.

    Completeness4/5

    The core lifecycle of searching, inspecting, running, and checking predictions is fully covered. A minor gap is the lack of a cancel-prediction tool, but this is not essential for the primary workflow.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources