mcp-alphafold
This server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
@pipeworx/alphafold
EBI AlphaFold Protein Structure Database MCP — predicted 3-D protein structures for ~214 M sequences. Keyless.
Part of Pipeworx — an MCP gateway connecting AI agents to 1861+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
Tools
prediction(qualifier)— full prediction metadata + file URLs (PDB, CIF, PAE)summary(qualifier)— short structure summaryannotations(qualifier, type?)— sequence-level annotations (regions of low pLDDT, etc)uniprot(uniprot_id)— same aspredictionbut explicit UniProt accession
qualifier is a UniProt accession (e.g. P00533).
Related MCP server: UniProt MCP Server
Data source
https://alphafold.ebi.ac.uk/api/
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"alphafold": {
"url": "https://gateway.pipeworx.io/alphafold/mcp"
}
}
}What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/alphafold/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1861+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No MCP client? Call it over HTTP
curl -X POST https://gateway.pipeworx.io/v1/tools/alphafold_prediction \
-H 'Content-Type: application/json' \
-d '{"qualifier":"P00533"}'No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/alphafold_prediction. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
Run it from npm
@pipeworx/mcp-alphafold is a local stdio bridge to the Pipeworx gateway: your MCP client
starts it with npx, and it forwards every call to the same
https://gateway.pipeworx.io/alphafold/mcp endpoint shown above. It needs network access;
there is no offline mode.
{
"mcpServers": {
"alphafold": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-alphafold"]
}
}
}Without a key it calls anonymously, capped at 50 calls a day. A free account
raises that to 200 a day: get a key at https://pipeworx.io/signup and add
"env": { "PIPEWORX_API_KEY": "<your key>" } to the server entry.
The key is sent as a Bearer token, the same way a hosted connection sends it,
so calls are metered and billed exactly as they are there.
It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to
also list ask_pipeworx and the other gateway-wide tools.
Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by
default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check
your Node version's documentation.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Alphafold data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
This server cannot be deployed
Maintenance
Related MCP Connectors
Fold proteins, co-fold ligands with binding affinity, design binders and embed sequences.
Protein analysis: ESM-2/ESMC embeddings, mutation scoring, landscape scans, ESMFold structure.
Protein research over UniProtKB: search by function, fetch curated records, map IDs, proteomes.
Search InterPro entries, map domains onto proteins and PDB structures, and scan raw sequences.
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