Modal MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| deploy_modal_appC | |
| list_modal_volumesB | |
| list_modal_volume_contentsB | |
| copy_modal_volume_filesA | |
| remove_modal_volume_fileB | |
| put_modal_volume_fileA | |
| get_modal_volume_fileA | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Every tool has a clearly distinct purpose with no overlap: copy, deploy, get (download), list contents, list volumes, put (upload), and remove (delete) are all unique operations. The descriptions clearly differentiate between volume operations and app deployment, making tool selection straightforward for an agent.
All tools follow a consistent verb_noun pattern with 'modal' as a prefix (e.g., copy_modal_volume_files, deploy_modal_app, get_modal_volume_file). The naming is uniform throughout, using snake_case and clear action-object pairs, making the set predictable and easy to understand.
With 7 tools, this server is well-scoped for managing Modal volumes and applications. Each tool serves a specific, necessary function (e.g., CRUD operations for volumes, listing, and deployment), and there are no redundant or missing tools for the apparent domain, making the count ideal.
The tool surface provides complete coverage for Modal volume management (create via put, read via get and list, update via copy, delete via remove) and app deployment. There are no obvious gaps; agents can perform all core workflows without dead ends, ensuring effective operation within the domain.