Opentargets
Server Details
Open Targets MCP — disease/target/drug knowledge graph.
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- Status
- Unhealthy
- Uptime
- 40.7% over 38 days
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- pipeworx-io/mcp-opentargets
- GitHub Stars
- 0
- Server Listing
- mcp-opentargets
TDQS
Scored across 38 tools
The set contains many general-purpose retrieval meta-tools (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, validate_claim, compare_entities, entity_profile, recent_changes) whose boundaries are subtle and require reading lengthy descriptions; ask_pipeworx_beta is even stated to be identical to ask_pipeworx right now, making them indistinguishable. Polymarket and Open Targets subdomains are clearer, but the overall surface has multiple overlapping entry points that invite misselection.
All names use lowercase snake_case, but the conventions are mixed: noun-only (disease, drug, target, search), verb_noun (compare_entities, list_subscriptions), noun_verb (ai_visibility_check, bet_research), and bare verbs (recall, remember, subscribe). The result is readable but not a predictable pattern.
38 tools is heavy for a single MCP server, and the surface spans at least three unrelated domains: Open Targets drug discovery, Pipeworx data gateway/meta-tools, and Polymarket betting. The Open Targets core would need roughly nine tools, while the rest are platform sprawl, so the count is not well-scoped to the server's apparent purpose.
For the Open Targets read-only knowledge-graph domain, core lookups exist (search plus disease/target/drug profiles and associations), though some deeper evidence-level queries are absent. Across the broader Pipeworx surface, memory, subscription, and Polymarket tools are present, but the mixed scope makes true coverage hard to assess; there are no catastrophic gaps, but notable omissions remain.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- Changed
bet_research2 fields changed- changed
Input schema / examplesPrevious value: -[ - { - "market": "when-will-bitcoin-hit-150k" - }, - { - "market": "https://polymarket.com/event/when-will-bitcoin-hit-150k" - } -]New value: +[ + { + "market": "will-kristi-noem-win-the-2028-republican-presidential-nomination" + }, + { + "market": "https://polymarket.com/event/will-kristi-noem-win-the-2028-republican-presidential-nomination" + } +] - changed
Input schema / properties / market / descriptionPrevious value: -"Polymarket slug (\"when-will-bitcoin-hit-150k\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k?\"). Dated slugs stop resolving once they settle — Polymarket de-indexes resolved markets — so prefer an undated one."New value: +"Polymarket slug (\"will-kristi-noem-win-the-2028-republican-presidential-nomination\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k?\"). Dated slugs stop resolving once they settle — Polymarket de-indexes resolved markets — so prefer an undated one."
2 tool updates
- Changed
bet_research2 fields changed- changed
Input schema / examplesPrevious value: -[ - { - "market": "will-bitcoin-reach-100k-in-july-2026" - }, - { - "market": "https://polymarket.com/event/will-bitcoin-hit-150k-by-june-30-2026" - } -]New value: +[ + { + "market": "when-will-bitcoin-hit-150k" + }, + { + "market": "https://polymarket.com/event/when-will-bitcoin-hit-150k" + } +] - changed
Input schema / properties / market / descriptionPrevious value: -"Polymarket slug (\"will-bitcoin-hit-150k-by-june-30-2026\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k by June 30?\")"New value: +"Polymarket slug (\"when-will-bitcoin-hit-150k\"), full URL (\"https://polymarket.com/event/...\"), or question text (\"Will Bitcoin hit $150k?\"). Dated slugs stop resolving once they settle — Polymarket de-indexes resolved markets — so prefer an undated one."
- Changed
polymarket_kalshi_spread2 fields changed- changed
Input schema / examplesPrevious value: -[ - { - "topic": "fed" - }, - { - "topic": "btc" - } -]New value: +[ + { + "topic": "fed" + }, + { + "topic": "btc" + }, + { + "topic": "bitcoin" + }, + { + "topic": "fed rate decision" + } +] - changed
Input schema / properties / topic / descriptionPrevious value: -"Pre-mapped: fed | btc | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president"New value: +"Subject to compare. Canonical keys: fed | btc | eth | cpi | gdp | sp500 | recession | next_pope | next_uk_pm | next_israel_pm | 2028_president — but aliases and keywords resolve too (\"bitcoin\", \"fed rate decision\", \"ethereum\", \"inflation\", \"s&p 500\", \"us recession\", \"next pope\", \"2028 election\"). Check resolution.topic_matched_by in the response: \"exact\"/\"alias\" is a curated pairing, \"phrase\"/\"token\" is a keyword guess."
Related MCP Connectors
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Related MCP Servers
- AlicenseBqualityDmaintenanceMCP server that exposes the Open Targets Platform GraphQL API as a set of tools for querying biomedical data such as targets, diseases, drugs, and genetic evidence.68150 PyPI19MIT
- AlicenseNot gradedqualityAmaintenanceA unified biomedical graph database that integrates 50+ primary data sources — genes, proteins, compounds, diseases, pathways, and clinical data — into a single queryable graph with billions of cross-reference edges. Its native MCP server gives LLMs direct access to structured, authoritative biomedical data, complementing their reasoning with reliable identifiers and up-to-date database content.20AGPL 3.0
- FlicenseBqualityDmaintenanceUnofficial Model Context Protocol server for accessing Open Targets platform data for gene-drug-disease associations research.611-
- AlicenseAqualityBmaintenancePre-clinical drug discovery intelligence MCP server providing 44 tools to query 800+ drug targets, 12K+ compounds, 46K+ papers, 18K+ clinical trials, and 16K+ patents.44154 PyPIApache 2.0
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