Modal MCP Server
Related Servers
Alternatives to Modal MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables MCP-aware agents to drive Modal serverless compute, including GPU workers and headless Chromium for web browsing with screenshots.MIT
- AlicenseAqualityDmaintenanceAn MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.73MIT
- FlicenseAqualityCmaintenanceExposes 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.6-
- AlicenseAqualityBmaintenanceEnables MCP-capable agents to create and invoke OpenServerless endpoints, manage secrets, and configure integrations such as S3, PostgreSQL, Redis, Milvus, and MongoDB.13Apache 2.0
- AlicenseAqualityAmaintenanceAn MCP server for managing Modal — apps, containers, volumes, and secrets — and for deploying & running Modal apps directly from Claude Code and other MCP clients.122MIT
- AlicenseNot gradedqualityCmaintenanceEnables programmatic control of Cursor's cloud-based AI agents for automated code generation and repository management via standardized MCP tools.15 npm6MIT
TDQS
Scored across 30 tools
Each tool targets a distinct resource and action, with no overlapping purposes. The few similar operations (e.g., app_stop vs. container_stop) are clearly differentiated by resource scope and descriptions.
The predominant pattern modal_<resource>_<action> is consistent across most tools. Two tools (modal_deploy, modal_run) omit the resource prefix, causing minor deviation, but the overall scheme remains predictable and readable.
With 30 tools, the set is above the ideal 3-15 range and falls into the heavy category. However, the broad scope of Modal (environments, apps, secrets, volumes, containers, deployments) justifies the number, even though it feels dense.
The tool surface covers most lifecycle operations for each resource: environments have full CRUD, apps have management and deployment actions, volumes include file operations, and containers have exec/logs/stop. A notable gap is the lack of a secret update operation, but agents can work around by deleting and recreating.