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1 ★ · SPARKIT-science/sparkit-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
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collected from the punkpeye/awesome-mcp-servers list · type: MCP server
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first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
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score 703 · 1 ★ · 7 sources · mcp
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repository SPARKIT-science/sparkit-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
MCP server for SPARKIT — call the scientific research agent from Claude Desktop, Cursor, Claude Code, or any other MCP-compatible client. Two tools are exposed: - **research** — submit a scientific question. SPARKIT searches the literature, reads the relevant papers, and returns a cited Markdown report. Blocks until the job finishes (default 4 min) and returns the full report inline. - **get_job_status** — fetch a previously-submitted job by id. Useful when research returned before the job finished, or to revisit a past report. Install Or with pip: Either installs a sparkit-mcp console script. (Pre-release: install straight from GitHub with uv tool install "git+https://github.com/SPARKIT-science/sparkit-mcp.git" until the first PyPI release lands.) Get an API key 1. Sign up at https://app.sparkit.science/signup (Try-it costs $10 for 5 queries; subscriptions start at $50/mo). 2. Visit https://app.sparkit.science/keys and create a key. 3. Copy the key — it's shown only once. Configure your MCP client Claude Desktop Edit claude_desktop_config.json: - macOS: ~/Library/Application Support/Claude/claude_desktop_config.json - Windows: %APPDATA%\Claude\claude_desktop_config.json Add: Restart Claude Desktop. You should see sparkit appear in the tools icon next to the chat input. If sparkit-mcp isn't on Claude Desktop's PATH (common with uv tool), use the absolute path: (Find the path with which sparkit-mcp after uv tool install.) Cursor Edit ~/.cursor/mcp.json (or .cursor/mcp.json in your project): Reload Cursor (Cmd+Shift+P → "Reload Window"). Claude Code Try it Once configured, ask the LLM: > Use SPARKIT to look up the most recent literature on the role of > WRNIP1 as a synthetic-lethal target in cancer. The LLM will call research. Expect a 60-180s wait, then a Markdown report with inline citations and a numbered Sources list. Configuration | Env var | Default | Description | |-------------------------------|------------------------------------------------------|-------------| | SPARKIT_API_KEY | (required) | Bearer key from https://app.sparkit.science/keys. | | SPARKIT_API_BASE | https://jlsteenwyk--sparkit-api-web.modal.run | Override the API base URL. Useful for staging or self-hosted deployments. | | SPARKIT_API_TIMEOUT_SECONDS | 30 | Per-HTTP-request timeout. Doesn't affect total wait time for research; that's max_wait_seconds. | Tool reference research(question, response_format?, include_citations?, max_wait_seconds?) | Arg | Type | Default | Description | |--------------------|---------------------|---------|-------------| | question | string | — | The scientific question. Required. Be specific. | | response_format | "full" or "brief" | "full" | Length of the returned Markdown report. | | include_citations| boolean | true | Keep true for sourced reports. | | max_wait_seconds | int (30-540) | 240 | How long to block waiting before returning the job_id with instructions to poll. |