Schema | jungle-grid-mcp-server

jungle-grid-mcp-server

Official

Describes the environment variables required to run the server.

Name	Required	Description	Default
`JUNGLE_GRID_API_KEY`	Yes	Your Jungle Grid API key. Required for all API calls.
`JUNGLE_GRID_API_URL`	No	URL of the Jungle Grid orchestrator. Defaults to https://api.junglegrid.dev	https://api.junglegrid.dev

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
estimate_jobA	Estimate routing, capacity source, and expected cost for a proposed Jungle Grid workload without submitting it.
submit_jobA	Submit a Jungle Grid workload for execution. This may start managed compute infrastructure and incur usage charges.
list_jobsA	List the authenticated user's Jungle Grid jobs, optionally filtered by status. Use this to find recent jobs before checking status, logs, or artifacts.
get_jobA	Retrieve current status and execution details for a specific Jungle Grid job belonging to the authenticated user.
get_job_logsB	Retrieve execution logs for a specific Jungle Grid job belonging to the authenticated user.
cancel_jobB	Cancel an existing Jungle Grid job. This may stop active execution and prevent further outputs.
list_artifactsA	List output artifacts associated with a specific Jungle Grid job.
get_artifactB	Retrieve download information for a specific output artifact from a Jungle Grid job.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Jungle-Grid/mcp-server'

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