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URL: https://glama.ai/mcp/servers/integrations/modal

⇱ Modal | Glama

  • Why this server?

    Integrates with Modal to provide high-performance, cloud-hosted containers for running agent shell commands with sub-second startup and optional GPU support.

  • Why this server?

    Auto-detects webhooks from Modal AI provider, extracts call ID and status information, and correlates them into pipeline traces for monitoring serverless AI executions.

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    Self-hosted webhook relay and tunnel with Noise NK encryption. Inspect requests, replay webhooks, trace AI pipelines, connect/disconnect tunnels — 13 MCP tools. No tokens or passwords needed.
    Last updated
    13
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    AGPL 3.0

  • Why this server?

    Provides tools for deploying and running Modal applications in the cloud, allowing AI agents to deploy Modal apps and execute functions within Modal applications.

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    An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.
    Last updated
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    MIT

  • Why this server?

    Supports offloading embedding and reranking tasks to custom AI workers hosted on the Modal platform.

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    Web search (embedded SearXNG), content extraction, and library docs indexing with hybrid search. No API keys required.
    Last updated
    6
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  • Why this server?

    Provides sandbox management in the cloud with GPU support, including launching isolated Python environments, managing packages, configuring resources, and executing remote commands.

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    A Model Context Protocol server that enables LLMs and AI assistants to create, manage, and interact with isolated cloud-based Python environments with GPU support on Modal.com.
    Last updated
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    MIT

  • Why this server?

    Provides tools for managing Modal apps, containers, volumes, and secrets, enabling deployment and execution of Modal apps directly from MCP clients.

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    An MCP server for managing Modal — apps, containers, volumes, and secrets — and for deploying & running Modal apps directly from Claude Code and other MCP clients.
    Last updated
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    MIT

  • Why this server?

    Runs MCP tools on Modal's cloud platform to provide sandboxed Python code execution and image generation

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    Facilitates running Python code in a sandbox and generating images using the FLUX model via an MCP server compatible with clients like Goose and the Claude Desktop App.
    Last updated
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    MIT

  • Why this server?

    Enables video and image analysis using Qwen3-VL models deployed on Modal's serverless GPU infrastructure, supporting hours-long video processing, timestamp grounding, OCR in 32 languages, and various analysis tasks including summarization, text extraction, and frame comparison.

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    Enables AI agents to analyze videos and images using Qwen3-VL deployed on Modal, supporting hours-long videos with timestamp grounding, text extraction, video summarization, and Q\&A with 256K context window.
    Last updated
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  • Why this server?

    Exposes Modal cloud functions as tools, enabling video rendering of Remotion compositions, speech synthesis via F5-TTS voice cloning, and management of Modal apps and logs.

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    Exposes Modal cloud functions as MCP tools for video rendering, voice synthesis, and app management. Enables LLM agents to execute Remotion renders, F5-TTS voice cloning, and monitor Modal applications via Supabase-backed infrastructure.
    Last updated
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