Singapore MCP by Olano
NPM · @OLANO/MCP-SINGAPORE · SCANNED SEP 20
Singapore public data, transport, rail, property, business, economy, weather, and analytics.
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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 0 of 15 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency100
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to olano-ai/mcp-singapore). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 29 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability78
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 12412 tokens (~42/item across 294 items; 291 tools + 3 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage68
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 4% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 291 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 293 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
How do I install the Singapore MCP by Olano server?
Singapore MCP by Olano runs locally as an npm package, launched with npx -y @olano/mcp-singapore. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @olano/mcp-singapore
claude mcp add olano-ai-mcp-singapore -- npx -y @olano/mcp-singapore
{
"mcpServers": {
"olano-ai-mcp-singapore": {
"command": "npx",
"args": [
"-y",
"@olano/mcp-singapore"
]
}
}
} {
"servers": {
"olano-ai-mcp-singapore": {
"command": "npx",
"args": [
"-y",
"@olano/mcp-singapore"
]
}
}
} codex mcp add olano-ai-mcp-singapore -- npx -y @olano/mcp-singapore
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"olano-ai-mcp-singapore": {
"type": "local",
"command": [
"npx",
"-y",
"@olano/mcp-singapore"
],
"enabled": true
}
}
} openclaw mcp add olano-ai-mcp-singapore --command npx --arg -y --arg @olano/mcp-singapore
mcp_servers:
olano-ai-mcp-singapore:
command: "npx"
args: ["-y", "@olano/mcp-singapore"] {
"McpServers": {
"olano-ai-mcp-singapore": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@olano/mcp-singapore"
]
}
}
} assistant mcp add olano-ai-mcp-singapore -t stdio -c npx -a -y @olano/mcp-singapore
{
"mcpServers": {
"olano-ai-mcp-singapore": {
"command": "npx",
"args": [
"-y",
"@olano/mcp-singapore"
]
}
}
} 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.
- 19 Sept 26 0
- Stability: 0.97 → pass security
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.
- 7 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.
- 5 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.
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 20 Sept 2026 · Analysed npm/@olano/mcp-singapore@0.4.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | olano-ai/mcp-singapore |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/olano-ai/mcp-singapore/.github/workflows/publish.yml@refs/heads/main |
| Rekor log index | 2546700080 |
| Predicate type | https://slsa.dev/provenance/v1 |
| Subject digest | sha512:187935bd999d6e663557ad3bd88671375fc8fd848d6027c5f4d2c5e764d2a21610ad0425f9079cdb32b6c742391da3210a65e26a11291fcbad6f45ed0 |
Background: How many MCP packages publish verified provenance →
Dependencies 15 packages
| Packages resolved | 15 |
|---|---|
| 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 →
acra_get_entity Get ACRA entity by UEN ~33
Resolve a Singapore corporate entity from official ACRA shards using its UEN.
| Name | Type | Req | Description |
|---|---|---|---|
| uen | string | yes | – |
No output schema declared.
No examples provided.
acra_list_shards List ACRA entity shards ~28
List the 27 official ACRA corporate-entity dataset shards on data.gov.sg.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
acra_profile_entities Profile an ACRA shard ~28
Profile a bounded sample from an official ACRA shard.
| Name | Type | Req | Description |
|---|---|---|---|
| shard | integer | – | – |
No output schema declared.
No examples provided.
acra_search_entities Search ACRA corporate entities ~51
Search official ACRA corporate-entity shards by company name, UEN, or text.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| maxShards | integer | – | – |
| query | string | yes | – |
No output schema declared.
No examples provided.
analytics_compare_series Compare numeric series ~33
Compare statistics and mean change for two bounded series.
| Name | Type | Req | Description |
|---|---|---|---|
| left | array | yes | – |
| right | array | yes | – |
No output schema declared.
No examples provided.
analytics_correlate_series Correlate numeric series ~40
Calculate Pearson correlation over aligned values. Correlation does not imply causation.
| Name | Type | Req | Description |
|---|---|---|---|
| left | array | yes | – |
| right | array | yes | – |
No output schema declared.
No examples provided.
analytics_summarize_series Summarize a numeric series ~30
Calculate bounded descriptive statistics without sending data to a third party.
| Name | Type | Req | Description |
|---|---|---|---|
| values | array | yes | – |
No output schema declared.
No examples provided.
analytics_visualize_series Visualize a numeric series ~27
Create a compact Unicode sparkline and descriptive statistics.
| Name | Type | Req | Description |
|---|---|---|---|
| values | array | yes | – |
No output schema declared.
No examples provided.
bank_interest_rates_freshness Check Current bank interest rates, including SORA freshness ~25
Inspect official metadata and sample dates to flag stale or frozen data.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
bank_interest_rates_metadata Current bank interest rates, including SORA: metadata ~62
Get official metadata and schema for Current bank interest rates, including SORA. Source: data.gov.sg dataset d_5fe5a4bb4a1ecc4d8a56a095832e2b24 (SINGSTAT / MAS).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
bank_interest_rates_profile Profile Current bank interest rates, including SORA ~37
Profile fields and numeric ranges from a bounded sample of Current bank interest rates, including SORA.
| Name | Type | Req | Description |
|---|---|---|---|
| sampleSize | integer | – | – |
No output schema declared.
No examples provided.
bank_interest_rates_search Search Current bank interest rates, including SORA ~81
Search and page through Current bank interest rates, including SORA. Source: data.gov.sg dataset d_5fe5a4bb4a1ecc4d8a56a095832e2b24 (SINGSTAT / MAS).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| offset | integer | – | – |
| query | string | – | – |
No output schema declared.
No examples provided.
business_formations_compare Compare Singapore business formations by industry ~46
Compare official formations, cessations and net formations for up to ten SingStat industry series over the same periods.
| Name | Type | Req | Description |
|---|---|---|---|
| industries | array | yes | – |
| periods | integer | – | – |
No output schema declared.
No examples provided.
business_formations_net Calculate net Singapore business formations ~41
Align official monthly SingStat formations and cessations for one industry and calculate net formations.
| Name | Type | Req | Description |
|---|---|---|---|
| industry | string | – | – |
| periods | integer | – | – |
No output schema declared.
No examples provided.
coe_bidding_freshness Check COE bidding results freshness ~26
Inspect official metadata and sample dates to flag stale or frozen data.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
coe_bidding_metadata COE bidding results: metadata ~53
Get official metadata and schema for COE bidding results. Source: data.gov.sg dataset d_69b3380ad7e51aff3a7dcc84eba52b8a (LTA).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
coe_bidding_profile Profile COE bidding results ~34
Profile fields and numeric ranges from a bounded sample of COE bidding results.
| Name | Type | Req | Description |
|---|---|---|---|
| sampleSize | integer | – | – |
No output schema declared.
No examples provided.
coe_bidding_search Search COE bidding results ~72
Search and page through COE bidding results. Source: data.gov.sg dataset d_69b3380ad7e51aff3a7dcc84eba52b8a (LTA).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| offset | integer | – | – |
| query | string | – | – |
No output schema declared.
No examples provided.
coe_demand_supply Analyse COE demand and supply ~43
Compare bids received, quota and successful bids for a COE category using reproducible ratios.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | – |
| exercises | integer | – | – |
No output schema declared.
No examples provided.
coe_history Get COE bidding history ~38
Get a bounded, newest-first history for one official COE vehicle category.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | – |
| exercises | integer | – | – |
No output schema declared.
No examples provided.
coe_latest Get the latest COE bidding results ~38
Summarise the latest official COE exercise, with transparent demand, success, utilisation and premium-change measures.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
No output schema declared.
No examples provided.
cpi_freshness Check Consumer Price Index freshness ~24
Inspect official metadata and sample dates to flag stale or frozen data.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
cpi_metadata Consumer Price Index: metadata ~47
Get official metadata and schema for Consumer Price Index. Source: data.gov.sg dataset d_bdaff844e3ef89d39fceb962ff8f0791 (DOS).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
cpi_profile Profile Consumer Price Index ~31
Profile fields and numeric ranges from a bounded sample of Consumer Price Index.
| Name | Type | Req | Description |
|---|---|---|---|
| sampleSize | integer | – | – |
No output schema declared.
No examples provided.
cpi_search Search Consumer Price Index ~66
Search and page through Consumer Price Index. Source: data.gov.sg dataset d_bdaff844e3ef89d39fceb962ff8f0791 (DOS).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| offset | integer | – | – |
| query | string | – | – |
No output schema declared.
No examples provided.
cpi_yoy Calculate Singapore CPI year-on-year change ~42
Select an official monthly CPI series and calculate same-month year-on-year index and percentage changes.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
| periods | integer | – | – |
No output schema declared.
No examples provided.
crime_compare Rank Singapore recorded-crime series for a year ~36
Rank every numeric official recorded-crime series for a requested year, preserving category definitions and structural-break warnings.
| Name | Type | Req | Description |
|---|---|---|---|
| year | string | yes | – |
No output schema declared.
No examples provided.
crime_freshness Check Crime cases recorded freshness ~23
Inspect official metadata and sample dates to flag stale or frozen data.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
crime_metadata Crime cases recorded: metadata ~46
Get official metadata and schema for Crime cases recorded. Source: data.gov.sg dataset d_ca0b908cf06a267ca06acbd5feb4465c (SPF).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
crime_profile Profile Crime cases recorded ~30
Profile fields and numeric ranges from a bounded sample of Crime cases recorded.
| Name | Type | Req | Description |
|---|---|---|---|
| sampleSize | integer | – | – |
No output schema declared.
No examples provided.
crime_search Search Crime cases recorded ~65
Search and page through Crime cases recorded. Source: data.gov.sg dataset d_ca0b908cf06a267ca06acbd5feb4465c (SPF).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| offset | integer | – | – |
| query | string | – | – |
No output schema declared.
No examples provided.
datagov_get_dataset_metadata Get data.gov.sg dataset metadata ~36
Retrieve metadata for a data.gov.sg dataset ID such as d_abc123.
| Name | Type | Req | Description |
|---|---|---|---|
| datasetId | string | yes | – |
No output schema declared.
No examples provided.
datagov_get_realtime Get a data.gov.sg real-time feed ~51
Retrieve a supported Singapore weather or air-quality real-time feed.
| Name | Type | Req | Description |
|---|---|---|---|
| api | string | yes | – |
| date | string | – | Optional YYYY-MM-DD or YYYY-MM-DDTHH:mm:ss filter. |
No output schema declared.
No examples provided.
datagov_list_dataset_rows List rows from a data.gov.sg dataset ~48
Read a paginated set of rows from a data.gov.sg dataset.
| Name | Type | Req | Description |
|---|---|---|---|
| datasetId | string | yes | – |
| limit | integer | – | – |
| page | integer | – | – |
No output schema declared.
No examples provided.
datagov_list_datasets List data.gov.sg datasets ~34
List datasets published on data.gov.sg. Use pagination to keep responses small.
| Name | Type | Req | Description |
|---|---|---|---|
| page | integer | – | – |
No output schema declared.
No examples provided.
dengue_clusters_freshness Check Current dengue clusters freshness ~24
Inspect official metadata and sample dates to flag stale or frozen data.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
dengue_clusters_metadata Current dengue clusters: metadata ~48
Get official metadata and schema for Current dengue clusters. Source: data.gov.sg dataset d_dbfabf16158d1b0e1c420627c0819168 (NEA).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
dengue_clusters_profile Profile Current dengue clusters ~31
Profile fields and numeric ranges from a bounded sample of Current dengue clusters.
| Name | Type | Req | Description |
|---|---|---|---|
| sampleSize | integer | – | – |
No output schema declared.
No examples provided.
dengue_clusters_search Search Current dengue clusters ~67
Search and page through Current dengue clusters. Source: data.gov.sg dataset d_dbfabf16158d1b0e1c420627c0819168 (NEA).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| offset | integer | – | – |
| query | string | – | – |
No output schema declared.
No examples provided.
disease_cases_freshness Check Weekly infectious disease cases freshness ~24
Inspect official metadata and sample dates to flag stale or frozen data.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
disease_cases_latest Get the latest cases in the published MOH disease dataset ~47
Return the last epidemiological week present in the official data.gov.sg dataset. The source is frozen around 2022 and is never presented as current surveillance.
| Name | Type | Req | Description |
|---|---|---|---|
| disease | string | – | – |
No output schema declared.
No examples provided.
disease_cases_list List diseases in the published MOH bulletin dataset ~32
List the actual disease labels and source-coverage totals in the official historical dataset, with an explicit frozen-data warning.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
disease_cases_metadata Weekly infectious disease cases: metadata ~49
Get official metadata and schema for Weekly infectious disease cases. Source: data.gov.sg dataset d_ca168b2cb763640d72c4600a68f9909e (MOH).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
disease_cases_profile Profile Weekly infectious disease cases ~32
Profile fields and numeric ranges from a bounded sample of Weekly infectious disease cases.
| Name | Type | Req | Description |
|---|---|---|---|
| sampleSize | integer | – | – |
No output schema declared.
No examples provided.
disease_cases_search Search Weekly infectious disease cases ~68
Search and page through Weekly infectious disease cases. Source: data.gov.sg dataset d_ca168b2cb763640d72c4600a68f9909e (MOH).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| offset | integer | – | – |
| query | string | – | – |
No output schema declared.
No examples provided.
disease_cases_trend Analyse a published infectious-disease trend ~52
Aggregate exact epidemiological weeks for disease labels matching the query and expose the frozen source coverage prominently.
| Name | Type | Req | Description |
|---|---|---|---|
| disease | string | yes | – |
| weeksBack | integer | – | – |
| weeks_back | integer | – | – |
No output schema declared.
No examples provided.
ecda_centres_near Find early-childhood centres near a Singapore location ~101
Resolve an address or use WGS84 coordinates, query official OneMap kindergarten/childcare themes, and rank actual coordinates by haversine distance. Requires ONEMAP_TOKEN.
| Name | Type | Req | Description |
|---|---|---|---|
| latitude | number | – | – |
| limit | integer | – | – |
| location | string | – | – |
| longitude | number | – | – |
| postalCode | string | – | – |
| postal_code | string | – | – |
| radiusMetres | integer | – | – |
No output schema declared.
No examples provided.
ecda_childcare_freshness Check Childcare and kindergarten centres freshness ~26
Inspect official metadata and sample dates to flag stale or frozen data.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
ecda_childcare_metadata Childcare and kindergarten centres: metadata ~52
Get official metadata and schema for Childcare and kindergarten centres. Source: data.gov.sg dataset d_696c994c50745b079b3684f0e90ffc53 (ECDA).
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
ecda_childcare_profile Profile Childcare and kindergarten centres ~35
Profile fields and numeric ranges from a bounded sample of Childcare and kindergarten centres.
| Name | Type | Req | Description |
|---|---|---|---|
| sampleSize | integer | – | – |
No output schema declared.
No examples provided.
What is the Singapore MCP by Olano server?
Singapore MCP by Olano is listed in the public MCP registry as io.github.olano-ai/mcp-singapore. Singapore public data, transport, rail, property, business, economy, weather, and analytics. This page covers its npm package (@olano/mcp-singapore).
Is the Singapore MCP by Olano server safe to use?
Singapore MCP by Olano scores 93 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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 Singapore MCP by Olano server expose?
Singapore MCP by Olano exposes 291 tools: datagov_list_datasets, datagov_get_dataset_metadata, datagov_list_dataset_rows, datagov_get_realtime, onemap_search, and 286 more. Their descriptions and schemas cost roughly 12,264 tokens of context every time the server is loaded.
Is the Singapore MCP by Olano server still maintained?
Singapore MCP by Olano is still listed as active in the MCP registry. We last reached this channel on 20 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 Singapore MCP by Olano server under?
Singapore MCP by Olano declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.