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SPARKIT-science/sparkit-mcp

SPARKIT-science/sparkit-mcp

MCP server for SPARKIT — call the scientific research agent from Claude Desktop, Cursor, and other MCP clients.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add sparkit-mcp -- npx -y sparkit-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · SPARKIT-science/sparkit-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 SPARKIT-science/sparkit-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

sparkit-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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. |
来源
awesome · https://github.com/SPARKIT-science/sparkit-mcp
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