io.github.nickzren/opentargets
PYPI · OPENTARGETS-MCP · SCANNED SEP 22
Open Targets MCP server for targets, diseases, drugs, variants, and evidence
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 2 of 30 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 0 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability60
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 3200 tokens (~47/item across 68 items; 68 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "graphql_batch_query" implies "execute" and declares readOnlyHint instead, contradicting what its own name says it does. See how to fix → Fail
- An AI judge read all 69 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
How do I install the io.github.nickzren/opentargets MCP server?
io.github.nickzren/opentargets runs locally as a PyPI package, launched with uvx opentargets-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · opentargets-mcp
claude mcp add nickzren-opentargets -- uvx opentargets-mcp
{
"mcpServers": {
"nickzren-opentargets": {
"command": "uvx",
"args": [
"opentargets-mcp"
]
}
}
} {
"servers": {
"nickzren-opentargets": {
"command": "uvx",
"args": [
"opentargets-mcp"
]
}
}
} codex mcp add nickzren-opentargets -- uvx opentargets-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"nickzren-opentargets": {
"type": "local",
"command": [
"uvx",
"opentargets-mcp"
],
"enabled": true
}
}
} openclaw mcp add nickzren-opentargets --command uvx --arg opentargets-mcp
mcp_servers:
nickzren-opentargets:
command: "uvx"
args: ["opentargets-mcp"] {
"McpServers": {
"nickzren-opentargets": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"opentargets-mcp"
]
}
}
} assistant mcp add nickzren-opentargets -t stdio -c uvx -a opentargets-mcp
{
"mcpServers": {
"nickzren-opentargets": {
"command": "uvx",
"args": [
"opentargets-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 22 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 21 Sept 26 +40
- Injection markers: unverified → pass ▲ security
- Malware scan: unverified → pass ▲ security
- First check of Judged manipulation: pass security
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- Tool safety: Tool safety not yet verified: we do not have a sandbox capture of the tool definitions this version of the package serves yet. security
- Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
- Security disclosure: fail → unverified ▼ functional
- Tool coverage: unverified → 100 ▲ functional
- MCP protocol: unverified → pass ▲ functional
- First check of Tool coverage: 0 functional
- First check of Schema quality: fail functional
- First check of Schema quality: fair functional
- First check of Destructive annotations: 0 functional
- First check of Schema quality: pass functional
- First check of Tool coverage: 100 functional
- Capabilities: Protocol version not yet verified: we do not have a sandbox capture of the MCP handshake this version of the package performs yet. functional
- Tool coverage: Tool coverage not yet verified: we do not have a sandbox capture of the tool definitions this version of the package serves yet. functional
- Schema quality: Schema quality not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. functional
- Package version: 0.2.0 → 0.6.0 functional
- 13 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 12 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 9 Sept 26 0
- Security disclosure: unverified → fail ▼ functional
- 8 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- Security disclosure: fail → unverified ▼ functional
- 4 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- 2 Sept 26 −15
- Malware scan: pass → unverified ▼ security
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 22 Sept 2026 · Analysed pypi/opentargets-mcp@0.6.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Background: Why install scripts are a supply-chain risk →
Dependencies 30 packages
| Packages resolved | 30 |
|---|---|
| Stale | 2 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
get_target_safety_information ~28
Retrieve documented safety liabilities for a target.
| Name | Type | Req | Description |
|---|---|---|---|
| ensembl_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_target_subcellular_locations ~31
Return subcellular localisation annotations for a target.
| Name | Type | Req | Description |
|---|---|---|---|
| ensembl_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_target_tep ~33
Fetch Target Enabling Package (TEP) information for a gene.
| Name | Type | Req | Description |
|---|---|---|---|
| ensembl_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_target_tractability ~30
Return tractability assessments across modalities for a target.
| Name | Type | Req | Description |
|---|---|---|---|
| ensembl_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_targets_batch ~26
Retrieve multiple targets in a single request.
| Name | Type | Req | Description |
|---|---|---|---|
| ensembl_ids | array | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_variant_credible_sets ~50
List credible sets that include a specific variant.
| Name | Type | Req | Description |
|---|---|---|---|
| page_index | integer | – | – |
| page_size | integer | – | – |
| study_types | – | – | – |
| variant_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_variant_evidences ~53
Retrieve evidence strings linking a variant to targets or diseases.
| Name | Type | Req | Description |
|---|---|---|---|
| cursor | – | – | – |
| datasource_ids | – | – | – |
| fields | – | – | – |
| size | integer | – | – |
| variant_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_variant_info ~32
Retrieve core metadata and functional annotations for a variant.
| Name | Type | Req | Description |
|---|---|---|---|
| fields | – | – | – |
| variant_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_variant_intervals ~49
Retrieve enhancer-to-gene (E2G) predictions overlapping a variant.
| Name | Type | Req | Description |
|---|---|---|---|
| page_index | integer | – | – |
| page_size | integer | – | – |
| variant_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_variant_pharmacogenomics ~45
Retrieve pharmacogenomic annotations for a variant.
| Name | Type | Req | Description |
|---|---|---|---|
| page_index | integer | – | – |
| page_size | integer | – | – |
| variant_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_variant_protein_coordinates ~43
Retrieve protein-level consequences for a variant.
| Name | Type | Req | Description |
|---|---|---|---|
| page_index | integer | – | – |
| page_size | integer | – | – |
| variant_id | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
graphql_batch_query ~56
Execute one GraphQL query against many variable sets.
| Name | Type | Req | Description |
|---|---|---|---|
| key_field | – | – | – |
| max_concurrency | integer | – | – |
| operation_name | – | – | – |
| query_string | string | yes | – |
| variables_list | array | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
graphql_query ~40
ADVANCED: Execute a raw GraphQL query against Open Targets.
| Name | Type | Req | Description |
|---|---|---|---|
| operation_name | – | – | – |
| query_string | string | yes | – |
| variables | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
graphql_schema ~20
ADVANCED: Return the GraphQL schema in SDL format.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
map_ids ~32
Map free-text terms to canonical Open Targets identifiers.
| Name | Type | Req | Description |
|---|---|---|---|
| entity_names | – | – | – |
| query_terms | array | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
search_entities ~49
Search Open Targets entities and resolve synonyms to canonical IDs.
| Name | Type | Req | Description |
|---|---|---|---|
| entity_names | – | – | – |
| page_index | integer | – | – |
| page_size | integer | – | – |
| query_string | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
search_facets ~52
Return facet counts to help filter search results.
| Name | Type | Req | Description |
|---|---|---|---|
| category_id | – | – | – |
| entity_names | – | – | – |
| page_index | integer | – | – |
| page_size | integer | – | – |
| query_string | – | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
search_suggestions ~40
Return autocomplete suggestions for partially typed queries.
| Name | Type | Req | Description |
|---|---|---|---|
| entity_names | – | – | – |
| max_suggestions | integer | – | – |
| query_prefix | string | yes | – |
Structured output declared, but exposes no named fields.
No examples provided.
What is the io.github.nickzren/opentargets MCP server?
io.github.nickzren/opentargets is an MCP server listed in the public MCP registry as io.github.nickzren/opentargets. Open Targets MCP server for targets, diseases, drugs, variants, and evidence. This page covers its PyPI package (opentargets-mcp).
Is the io.github.nickzren/opentargets MCP server safe to use?
io.github.nickzren/opentargets scores 49 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 22 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.nickzren/opentargets MCP server expose?
io.github.nickzren/opentargets exposes 68 tools: get_target_alternative_genes, get_target_associated_diseases, get_target_chemical_probes, get_target_class, get_target_depmap_essentiality, and 63 more. Their descriptions and schemas cost roughly 2,912 tokens of context every time the server is loaded.
Is the io.github.nickzren/opentargets MCP server still maintained?
io.github.nickzren/opentargets is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.nickzren/opentargets MCP server under?
io.github.nickzren/opentargets declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.