Puter MCP
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
Search public scientific datasets and read schema cards that describe their files, columns and rows
Pick the AI app you use, then copy the settings.
Passed 5/5 checks · What you ask goes through the maker’s server (api.scigantic.com) · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude · about 2 min
No key, nothing to install · Set it up once on claude.ai or the desktop app, then use it in chat · free accounts can add 1 · on Team/Enterprise an Owner adds it
CustomizeConnectors
Copy each value into the field with the same name in Claude, then click Continue
Scigantichttps://api.scigantic.com/mcpClick Continue past the sign-in settings Claude detected · under Authentication choose what the maker says (Sign in now, Sign in when needed or No sign in), then click Add
+ConnectorsScigantic
Use Scigantic and tell me what you can do for me, then show me one thing✓ If Claude says it is using Scigantic or shows a Scigantic tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with ChatGPT, depending on your plan
Full MCP: ChatGPT Business, Enterprise or Edu on the web · Pro: connects with read/fetch permissions, so tools that change data may not work · Plus: not confirmed in OpenAI’s docs; if you see an add-custom-MCP option on the Plugins page you can try these steps · web only
Plugins+Add custom MCP server
Enter a name, paste the address under Connection, tick the risk warning and click Create as a plugin
Scigantichttps://api.scigantic.com/mcpStart a new chat and pick Scigantic from your plugins before typing
Use Scigantic and tell me what you can do for me, then show me one thing✓ If ChatGPT says it is using Scigantic or shows a Scigantic tool in the answer, you are connected
Menu names checked against OpenAI’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Claude Code · about 2 min
No key, nothing to install
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --transport http --scope user scigantic https://api.scigantic.com/mcpYou should see Scigantic listed as connected
Use Scigantic and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Scigantic or shows a Scigantic tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor · about 2 min
No key, nothing to install
Use Scigantic and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Scigantic or shows a Scigantic tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code · about 2 min
No key, nothing to install
Use Scigantic and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Scigantic or shows a Scigantic tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
Address for apps that connect over the web
https://api.scigantic.com/mcpJSON settings are under “For developers” below
Claude Code
claude mcp add --transport http --scope user scigantic https://api.scigantic.com/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"scigantic": {
"url": "https://api.scigantic.com/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"scigantic": {
"type": "http",
"url": "https://api.scigantic.com/mcp"
}
}
}Claude Code
claude mcp add --scope user scigantic -- uvx scigantic-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"scigantic": {
"command": "uvx",
"args": [
"scigantic-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"scigantic": {
"command": "uvx",
"args": [
"scigantic-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"scigantic": {
"type": "stdio",
"command": "uvx",
"args": [
"scigantic-mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
pypi: scigantic-mcpBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Connect over the internet in
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Tool names and descriptions exactly as the server reported them on Nov 15, 2026. The maker wrote them, not us; we show them as plain text.
search_archivesSearch the Scigantic catalog of public scientific data archives by natural-language query. Matching considers both the archive's description AND a sample of its actual object/file names, so a distinctive filename or path pattern can surface a match even when the prose description
get_archiveGet full metadata for one archive by id, including its schema card (structure summary) when one exists.
get_schema_cardGet the compact schema card for an archive: file format, columns, sample rows/headers, sidecar docs (READMEs/data dictionaries) and a copy-paste starter cell. This is the fastest way to understand a dataset's structure without mounting it.
get_data_accessGet how to load a dataset in YOUR OWN environment: storage location plus copy-paste code snippets (from the dataset's schema card, or generated as a fallback). Use this after finding a dataset when you want to run analysis where you are, rather than in a hosted notebook.
list_archive_filesList a sample of the files/objects in an archive's storage (the cached file tree).
get_sample_notebookGet the pre-executed starter notebook for an archive — a worked example of loading and exploring the data. Returns a cell-by-cell summary plus each cell's source (outputs are omitted to keep the payload small).
lookup_paperLook up a research paper on arXiv, by bare arXiv id (e.g. "1706.03762") or by keywords/title, and return its metadata plus any Scigantic archives linked to or suggested by it. Useful for going from a paper an agent is reading to the underlying datasets. Lookup is arXiv-backed: DO
list_compute_tiersList the compute tiers available for launching a Scigantic notebook (CPU/GPU options and hourly cost).
searchSearch the Scigantic catalog of public scientific datasets. Returns matching datasets as {results: [{id, title, url}]}; pass an id to fetch for the full description and schema card.
fetchFetch one Scigantic dataset by id (from search): its description, storage location, source link, and schema card (format, columns, sample rows, caveats, and how to load it).
surechembl_compoundLook up a compound in SureChEMBL, EMBL-EBI's database of chemistry extracted from patents, by any identifier, and report its structure, properties, cross-references (ChEMBL, PubChem, DrugBank, ChEBI, PDB) and how many patents mention it.
surechembl_patents_for_compoundList the patents in which a compound was found (SureChEMBL). Accepts the same identifier forms as surechembl_compound. Aspirin is in ~700,000 documents, so read the total and narrow with surechembl_search_patents when it is large.
surechembl_patentA patent document from SureChEMBL: title, dates, applicants, inventors, assignees, family, priority claims, number of compounds named in the text, abstract, and (optionally) the claims and description text. SureChEMBL no longer returns CPC codes, citations or legal events with a
surechembl_patent_chemistryThe compounds SureChEMBL's text-mining finds named in a patent's text: SCHEMBL id, name, SMILES, InChIKey, formula, weight. Structures that appear only in images or MOL attachments are not included.
surechembl_search_patentsFull-text patent search over SureChEMBL with Solr syntax. Plain terms search all text; field prefixes narrow: ttl (title), ab (abstract), clm (claims), desc, asg (assignee), inv (inventor), pdyear, cpc, ic (IPCR), fam (family id). Quote publication numbers: pn:"US-10000000-B2". C
surechembl_structure_searchSearch SureChEMBL's 31 million patent compounds by chemical structure.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 16, 2026
The registry name was verified against the domain scigantic.com (the registry checks domain ownership)
Code last changed 6 days ago
Uses MIT-0
No sign-in needed
Read 16 tool descriptions and found no hidden instructions to the AI
No entries on OSV.dev for scigantic-mcp@0.3.2
Checks only this package version, not every dependency · checked Nov 15, 2026
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 5 of 5 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed 6 days ago, and the latest version (0.3.2) reached the registry 6 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT on the web (full MCP on Business and above; Pro read-only).
In the same category: Puter MCP, XcodeBuildMCP, Anki MCP Server, Sosumi, Zapier
Same category, other makers, commands already checked. Official ones first, then by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
MCP server for Anki flashcards: adaptive review, notes, media, and deck management via AnkiConnect.
Search and read Apple developer documentation, HIG, and WWDC transcripts as Markdown.
Connects AI to thousands of apps through one Zapier server, such as Gmail, Google Sheets and Slack. You choose which actions the AI may use.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A Model Context Protocol server that exposes the Scigantic catalog of public scientific data archives to any MCP client.
It is built to drop into [Kiro for Life Sciences](https://github.com/aws-samples/sample-kiro-power-life-sciences) alongside its domain database servers. Where each Kiro server wraps one domain's APIs (genomics, proteomics, structural, …), Scigantic is the cross-domain launchpad: about 6,900 curated public archives spanning every domain, each with an LLM-ready schema card (file format, columns, sample rows/headers, inlined READMEs/data dictionaries, and a copy-paste starter cell) so an agent can understand a dataset's structure *before* downloading anything.
It is discovery-only and zero-config — every tool calls public, read-only Scigantic endpoints, so there is no API key to set up.
Since 0.3.0 it also carries six surechembl_* tools for patent chemistry, backed by SureChEMBL (EMBL-EBI, 31M compounds extracted from 45M patents) through the scigantic-surechembl library: look a compound up by any identifier, list the patents that mention it, read a patent, list the compounds named in it, search patents with Solr syntax, and run structure searches. Also public, read-only, no key.
SureChEMBL replaced its REST API in November 2026. Since 0.3.2 these tools run on scigantic-surechembl 0.4, the port to the new API. Three things the new API no longer offers show up in the output: a patent's CPC codes, citations and legal events are not returned; surechembl_patent_chemistry lists the compounds named in a patent's text, not those that appear only in images or attachments; and full-text search and patent families cover US, EP, WO, JP and CN publications only. A chemical name is now resolved through PubChem, since SureChEMBL has no name lookup any more.
Requires Python 3.10+ and MCP SDK 2.x.
Prefer the hosted server if your client speaks HTTP. Scigantic also runs a
remote MCP server at
https://api.scigantic.com/mcp(no auth, nothing to
install, and it carries five extra tools:
search,fetch,
get_sample_notebook,lookup_paperandlist_compute_tiers):
add
https://api.scigantic.com/mcpas a streamable HTTP server in your client
(Cursor, VS Code, Windsurf and others), or run
claude mcp add --transport http scigantic https://api.scigantic.com/mcp.
This package exists for clients that launch stdio servers, such as Kiro.
| Tool | What it does |
|---|---|
search_archives(query, category?, limit?) | Natural-language search across the whole catalog. |
get_archive(id) | Full metadata for one archive. |
get_schema_card(id) | The compact schema card — the fastest way to learn a dataset's structure. |
get_data_access(id, language?) | How to load the dataset in your own environment: storage location + copy-paste code snippets. |
list_archive_files(id, limit?) | A sample of the files/objects in the archive. |
| Tool | What it does |
|---|---|
surechembl_compound(identifier) | A compound by SureChEMBL id, ChEMBL id, pubchem:CID, drugbank:ID, InChIKey, SMILES or name: structure, properties, cross-references, patent count. |
surechembl_patents_for_compound(identifier, limit?) | The patents in which the compound was found, with the total. |
surechembl_patent(doc_id, include_text?) | A patent's bibliography, abstract, family, priority claims, count of compounds named in the text, and optionally its claims and description. |
surechembl_patent_chemistry(doc_id, limit?) | The compounds SureChEMBL's text-mining finds named in the patent. |
surechembl_search_patents(query, limit?) | Full-text patent search with Solr field syntax (ttl:, asg:, pdyear:, cpc:, ...) over US, EP, WO, JP and CN publications. |
surechembl_structure_search(structure, mode?, limit?) | Similarity, substructure, identical or connectivity search over 31M compounds. |
Identifiers are preserved verbatim in the output (SureChEMBL's attribution terms ask that SCHEMBL ids and publication numbers be kept), and each result links to surechembl.org. SureChEMBL data is CC BY 4.0.
These surface as slash commands in Claude Code (/mcp__scigantic__ ):
| Prompt | What it does |
|---|---|
explore_dataset(topic) | Search → inspect schema cards → recommend the best dataset → offer load code. |
start_analysis(archive_id, goal?) | Pull schema card + data-access snippet for an archive and outline an analysis plan. |
patent_landscape(compound) | Resolve a compound, count and list its patents, summarize assignees, years and CPC areas, read the key documents. |
Add an entry under mcpServers in ~/.kiro/settings/mcp.json.
Option A — `uvx` (zero-install, recommended):
{
"mcpServers": { "scigantic": { "command": "uvx", "args": ["scigantic-mcp"] } } }
Option B — install into a venv (matches the Kiro servers' own mcp.json form):
python3 -m venv .venv && . .venv/bin/activate
pip install scigantic-mcp # or: pip install /path/to/scigantic-mcp
{
"mcpServers": { "scigantic": { "command": "/path/to/.venv/bin/scigantic-mcp", "env": { "SCIGANTIC_API_URL": "https://api.scigantic.com" } } } }
Works the same in Claude Desktop / Claude Code (claude mcp add scigantic -- uvx scigantic-mcp) or any MCP client that launches stdio servers.
| Env var | Default | Purpose |
|---|---|---|
SCIGANTIC_API_URL | https://api.scigantic.com | API base (set to https://staging-api.scigantic.com for staging). |
SCIGANTIC_API_ORIGIN | https://scigantic.com | Origin header → selects the public (default) catalog tenant. |
This package is a thin client over the public Scigantic REST API. That API is not versioned and may change without notice — if a response shape moves, a pinned older release of this package can break. Pin a version you have tested, and open an issue if a tool starts returning something unexpected.
The MCP tool names and their arguments are treated as the stable surface, and will not change without a minor version bump.
The tool/client layer has no mcp dependency, so those tests run on any Python with httpx and need no network (mocked transport):
python3 tests/test_tools.py # or: pytest
tests/test_server_import.py covers the wiring layer — that the server module imports, and that the registered tools and prompts are the expected set. It needs the mcp SDK installed (Python ≥ 3.10) and is skipped otherwise:
pip install -e '.[test]' && pytest
Keep it that way: the tool tests skip server.py on purpose, so an SDK breaking change is invisible to them. All 12 passed while the server could not import at all under SDK 2.x, which is what test_server_import.py now guards against.
life-sciences-scigantic in aws-samples/sample-kiro-power-life-sciences.get_data_access — the caller runs the analysis in its own environment. Letting Scigantic *execute code for* an agent (run against an ephemeral kernel with the dataset mounted, return outputs) is a separate capability the platform would need to build first.MIT-0.