
Connects Claude to STRING, the protein interaction database covering roughly 12,000 organisms. You get five tools: resolve for mapping gene names or accessions to STRING IDs, interactions for pulling partner proteins, network for generating visual graphs with tabular data, enrichment for functional annotation against GO/KEGG/Reactome/Pfam, and homology for cross-species mappings. Runs through Pipeworx's gateway as a streamable HTTP service, so no local setup. Useful when you're doing comparative proteomics, pathway analysis, or need to quickly validate whether a set of proteins actually interact based on experimental and predicted data.
STRING MCP — protein-protein interaction networks across ~12 000 organisms. Keyless REST.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
resolve(identifiers, species?, limit?) — map free-text gene names → STRING identifiersinteractions(identifiers, species?, required_score?, limit?, network_type?) — interaction partnersnetwork(identifiers, species?, required_score?, network_type?) — network image url + tabular dataenrichment(identifiers, species?) — functional enrichment for a gene sethomology(identifiers, species?) — homology mappings to other organismsspecies is NCBI taxonomy id (default 9606 human).
https://string-db.org/api/json/
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"string-db": {
"url": "https://gateway.pipeworx.io/string-db/mcp"
}
}
}
tools/list at https://gateway.pipeworx.io/string-db/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 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
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 String Db data" })
The gateway picks the right tool and fills the arguments automatically.
MIT