mcp-sparkit
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SPARKIT_API_KEY | Yes | Bearer key from https://app.sparkit.science/keys. | |
| SPARKIT_API_BASE | No | Override the API base URL. Useful for staging or self-hosted deployments. | https://jlsteenwyk--sparkit-api-web.modal.run |
| SPARKIT_API_TIMEOUT_SECONDS | No | Per-HTTP-request timeout. Doesn't affect total wait time for `research`; that's `max_wait_seconds`. | 30 |
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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| researchA | Submit a scientific question to the SPARKIT research agent. SPARKIT searches the literature, reads relevant papers, and returns a cited Markdown report. Best for questions where a correct answer requires synthesizing across multiple primary sources. Args:
question: Free-text scientific question. Be specific —
"Which kinases are upregulated in pancreatic cancer with
evidence from human tissue?" works better than "tell me
about pancreatic cancer."
response_format: Returns the cited Markdown report on success. If the job is still
running at the wait limit, returns the job_id and status so the
caller can resume with |
| get_job_statusA | Fetch the current status (and result if done) of a SPARKIT job. Use this when Args:
job_id: The id returned by a prior Returns the cited Markdown report if the job has completed, a status line if it's still running, or a failure message otherwise. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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MCP directory API
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/SPARKIT-science/sparkit-mcp'
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