MCP server

Opentargets

io.github.pipeworx-io/opentargets

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Open Targets MCP — disease/target/drug knowledge graph.

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

49

Token cost

About 27,505 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http opentargets https://gateway.pipeworx.io/opentargets/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.opentargets]
url = "https://gateway.pipeworx.io/opentargets/mcp"

Gemini CLI

{"mcpServers":{"opentargets":{"httpUrl":"https://gateway.pipeworx.io/opentargets/mcp"}}}

Cursor

{"mcpServers":{"opentargets":{"url":"https://gateway.pipeworx.io/opentargets/mcp"}}}

VS Code

{"servers":{"opentargets":{"type":"http","url":"https://gateway.pipeworx.io/opentargets/mcp"}}}

Antigravity

agy mcp add opentargets https://gateway.pipeworx.io/opentargets/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"opentargets","server_url":"https://gateway.pipeworx.io/opentargets/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"opentargets","server_url":"https://gateway.pipeworx.io/opentargets/mcp"}

Tools

• disease ~150 tokens
  "Disease profile for [EFO_N]" / "look up disease [ID]" — fetch a disease profile from Open Targets by EFO (Experimental Factor Ontology) ID. Returns name, description, therapeutic areas, ontology cross-refs. Pair with `disease_associations` to find drug targets for the disease.
• disease_associations ~140 tokens
  "Best drug targets for [disease]" / "what genes are linked to [condition]" / "druggable targets in [disease]" — top drug-target candidates for a disease (EFO ID), scored by integrated evidence. Use for target discovery in a therapeutic area.
• drug ~154 tokens
  "Drug info for [ChEMBL ID]" / "look up [drug] target info" / "[CHEMBL...] mechanism" — fetch a drug profile from Open Targets by ChEMBL ID. Returns name, mechanisms of action, indications, target genes, trade names, clinical-trial phase. Use for drug research, mechanism queries.
• search ~222 tokens
  "Find [disease / drug / gene target]" / "Open Targets lookup for [name]" / "what's the Open Targets ID for [X]" — text search across diseases, drug targets, and drugs in the Open Targets Platform (the leading drug-discovery knowledge graph). Returns ranked matches with their canonical IDs (ENSG... f
• target ~172 tokens
  "Drug target profile for [gene]" / "is [gene] a druggable target" / "[gene] target info" / "target ID [ENSG...]" — fetch a drug-target profile (Open Targets uses Ensembl gene IDs as target identifiers). Returns approved symbol, name, biotype, protein IDs, pathways, synonyms. Use for target character
• target_associations ~185 tokens
  "What diseases is [gene] involved in" / "diseases associated with [target]" / "what does [gene] cause" — top disease associations for a drug target (Ensembl gene ID), scored by integrated Open Targets evidence (genetics, expression, animal models, drugs, literature, pathways). Use to triage what dis
• target_known_drugs ~179 tokens
  "What drugs target [gene]" / "approved drugs against [target]" / "clinical-trial drugs for [gene]" — drugs that have been clinically tested or approved against a drug target (Ensembl gene ID). Returns drug names, mechanisms, indications, clinical trial phases. Use for competitive landscape / drug-re

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