Open Economics
REMOTE · OPEN-ECONOMICS-DATA.KNBF982HKN.CHATGPT.SITE · SCANNED SEP 20
Discover, resolve, and query official Brazilian economic data with semantic search and provenance.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security74
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability75
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 2619 tokens (~137/item across 19 items; 19 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management37
- Stability observed for 11 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 19 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 20 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 Open Economics MCP server?
Open Economics is a hosted endpoint at https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · open-economics-data.knbf982hkn.chatgpt.site
claude mcp add --transport http felipegambettadesouza6-jpg-open-economics 'https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp'
{
"mcpServers": {
"felipegambettadesouza6-jpg-open-economics": {
"url": "https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp"
}
}
} {
"servers": {
"felipegambettadesouza6-jpg-open-economics": {
"type": "http",
"url": "https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp"
}
}
} [mcp_servers.felipegambettadesouza6-jpg-open-economics] url = "https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"felipegambettadesouza6-jpg-open-economics": {
"type": "remote",
"url": "https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp",
"enabled": true
}
}
} openclaw mcp add felipegambettadesouza6-jpg-open-economics --url 'https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp' --transport streamable-http
mcp_servers:
felipegambettadesouza6-jpg-open-economics:
url: "https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp" {
"McpServers": {
"felipegambettadesouza6-jpg-open-economics": {
"Transport": "http",
"Url": "https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp"
}
}
} assistant mcp add felipegambettadesouza6-jpg-open-economics -t streamable-http -u 'https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp'
{
"mcpServers": {
"felipegambettadesouza6-jpg-open-economics": {
"type": "http",
"url": "https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
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 +1
No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 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 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +2
- Schema quality: 115 → 137 ▼ functional
- Tool coverage: 31% → 100% ▲ functional
- Tool “describe_official_dataset” now declares an output schema ▲ functional
- Tool “get_anp_fuel_prices” now declares an output schema ▲ functional
- Tool “get_bcb_schema” now declares an output schema ▲ functional
- Tool “get_bcb_series” now declares an output schema ▲ functional
- Tool “get_comexstat_data” now declares an output schema ▲ functional
- Tool “get_cvm_investment_funds” now declares an output schema ▲ functional
- Tool “get_cvm_investment_funds_schema” now declares an output schema ▲ functional
- Tool “get_epe_electricity_consumption” now declares an output schema ▲ functional
- Tool “get_ibge_data” now declares an output schema ▲ functional
- Tool “get_ibge_schema” now declares an output schema ▲ functional
- Tool “get_mte_formal_employment” now declares an output schema ▲ functional
- Tool “get_mte_formal_employment_schema” now declares an output schema ▲ functional
- Tool “get_siconfi_data” now declares an output schema ▲ functional
- Tool “get_siconfi_schema” now declares an output schema ▲ functional
- Tool “get_tesouro_dpf” now declares an output schema ▲ functional
- Tool “get_tesouro_dpf_schema” now declares an output schema ▲ functional
- Tool “get_tesouro_rtn” now declares an output schema ▲ functional
- Tool “get_tesouro_rtn_schema” now declares an output schema ▲ functional
- Tool “search_official_data” now declares an output schema ▲ functional
- First check of Tool coverage: 100 functional
- Server version: 2.0.1 → 2.0.2 functional
- Server version: 2.0.0 → 2.0.1 functional
- “get_comexstat_data” reworded the description of “month_detail” cosmetic
- “get_anp_fuel_prices” reworded the description of “dataset_id” cosmetic
- “get_anp_fuel_prices” reworded the description of “fuel_group” cosmetic
- “get_anp_fuel_prices” reworded the description of “geography” cosmetic
- “get_anp_fuel_prices” reworded the description of “limit” cosmetic
- “get_anp_fuel_prices” reworded the description of “month” cosmetic
- “get_anp_fuel_prices” reworded the description of “municipality” cosmetic
- “get_anp_fuel_prices” reworded the description of “period” cosmetic
- “get_anp_fuel_prices” reworded the description of “state” cosmetic
- “get_anp_fuel_prices” reworded the description of “year” cosmetic
- “get_bcb_series” reworded the description of “limit” cosmetic
- “get_bcb_series” reworded the description of “order” cosmetic
- “get_comexstat_data” reworded the description of “dataset_id” cosmetic
- “get_comexstat_data” reworded the description of “details” cosmetic
- “get_comexstat_data” reworded the description of “filters” cosmetic
- “get_comexstat_data” reworded the description of “flow” cosmetic
- “get_comexstat_data” reworded the description of “language” cosmetic
- “get_comexstat_data” reworded the description of “metrics” cosmetic
- “get_cvm_investment_funds” reworded the description of “breakdown” cosmetic
- “get_cvm_investment_funds” reworded the description of “classifications” cosmetic
- “get_cvm_investment_funds” reworded the description of “dataset_id” cosmetic
- “get_cvm_investment_funds” reworded the description of “from” cosmetic
- “get_cvm_investment_funds” reworded the description of “limit” cosmetic
- “get_cvm_investment_funds” reworded the description of “to” cosmetic
- “get_cvm_investment_funds_schema” reworded the description of “dataset_id” cosmetic
- “get_epe_electricity_consumption” reworded the description of “classes” cosmetic
- “get_epe_electricity_consumption” reworded the description of “dataset_id” cosmetic
- “get_epe_electricity_consumption” reworded the description of “from” cosmetic
- “get_epe_electricity_consumption” reworded the description of “geography” cosmetic
- “get_epe_electricity_consumption” reworded the description of “limit” cosmetic
- “get_epe_electricity_consumption” reworded the description of “markets” cosmetic
- “get_epe_electricity_consumption” reworded the description of “regions” cosmetic
- “get_epe_electricity_consumption” reworded the description of “states” cosmetic
- “get_epe_electricity_consumption” reworded the description of “to” cosmetic
- “get_ibge_data” reworded the description of “dataset_id” cosmetic
- “get_mte_formal_employment” reworded the description of “breakdown” cosmetic
- “get_mte_formal_employment” reworded the description of “dataset_id” cosmetic
- “get_mte_formal_employment” reworded the description of “from” cosmetic
- “get_mte_formal_employment” reworded the description of “limit” cosmetic
- “get_mte_formal_employment” reworded the description of “regions” cosmetic
- “get_mte_formal_employment” reworded the description of “states” cosmetic
- “get_mte_formal_employment” reworded the description of “to” cosmetic
- “get_mte_formal_employment_schema” reworded the description of “dataset_id” cosmetic
- “get_siconfi_data” reworded the description of “dataset_id” cosmetic
- “get_siconfi_data” reworded the description of “report_type” cosmetic
- “get_siconfi_data” reworded the description of “sphere” cosmetic
- “get_siconfi_data” reworded the description of “year” cosmetic
- “get_siconfi_schema” reworded the description of “dataset_id” cosmetic
- “get_tesouro_dpf” reworded the description of “dataset_id” cosmetic
- “get_tesouro_dpf” reworded the description of “from” cosmetic
- “get_tesouro_dpf” reworded the description of “limit” cosmetic
- “get_tesouro_dpf” reworded the description of “table” cosmetic
- “get_tesouro_dpf” reworded the description of “to” cosmetic
- “get_tesouro_dpf_schema” reworded the description of “dataset_id” cosmetic
- “get_tesouro_rtn” reworded the description of “dataset_id” cosmetic
- “get_tesouro_rtn” reworded the description of “from” cosmetic
- “get_tesouro_rtn” reworded the description of “limit” cosmetic
- “get_tesouro_rtn” reworded the description of “to” cosmetic
- “get_tesouro_rtn_schema” reworded the description of “dataset_id” cosmetic
- 10 Sept 26 +1
- Stability: unverified → 0.03 ▲ functional
- 9 Sept 26 69
First indexed and scored.
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 · Probed https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.knbf982hkn.chatgpt.site | CN=WE1,O=Google Trust Services,C=US | 20 Aug 2026 | 18 Nov 2026 | ECDSA 256 | ECDSA-SHA256 | e7e922730460be2a0e5311e1e20dde26 |
| SANs: *.knbf982hkn.chatgpt.site | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of open-economics-data.knbf982hkn.chatgpt.site. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| site. | present | 31826 | 13 | Verified |
| chatgpt.site. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp | Verified | 200 | |
| http (plaintext) | http://open-economics-data.knbf982hkn.chatgpt.site/api/mcp | HTTPS enforced | 302 | https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp |
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 →
describe_official_dataset Describe an official dataset ~141
Get identity, publisher, collection, provenance links, query capability, and any stable Open Economics series shortcuts for an exact dataset ID returned by search_official_data. This does not fetch observations.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | Exact ID returned by search_official_data, such as bcb-sgs:432, ibge-aggregates:5932, siconfi:dca, tesouro-rtn:government-central, tesouro-dpf:debt-profile, comexstat:general, anp:fuel-prices, epe:el… |
| Name | Type | Req | Description |
|---|---|---|---|
| collection | – | – | Official collection identifier, when supplied by the publisher. |
| collectionName | – | – | Official collection name, when supplied by the publisher. |
| id | string | yes | Stable official dataset ID. |
| metadataUrl | string | yes | Official metadata URL. |
| provider | string | yes | Open Economics provider identifier. |
| queryCapability | string | yes | Supported query capability. |
| sourceAgency | string | yes | Official publishing agency. |
| sourceUrl | string | yes | Official source URL. |
| title | string | yes | Official dataset title. |
No examples provided.
get_anp_fuel_prices Query official ANP fuel prices ~236
Retrieve auditable fuel and GLP price statistics calculated from official ANP station observations. Omit year and month for the rolling latest four weeks, or provide both for a published monthly file from 2023 onward. Results retain period, product, geography, unit, sample count, source URL, and the disclosed aggregation method while excluding station identity and addresses.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | The official ANP fuel-prices dataset identifier. |
| fuel_group | string | yes | ANP product group to retrieve. |
| geography | string | – | Geographic aggregation level. |
| limit | integer | – | Maximum aggregate rows to return. |
| month | integer | – | Published source month; provide with year for a monthly file. |
| municipality | string | – | Municipality name when geography is municipality. |
| period | string | – | Reporting period granularity. |
| product | string | – | Exact ANP product label, for example GASOLINA or ETANOL. |
| state | string | – | Two-letter Brazilian state code when geography is state or municipality. |
| year | integer | – | Published source year; provide with month for a monthly file. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_bcb_schema Inspect BCB series meaning and units ~75
Fetch authoritative metadata for an exact BCB SGS series, including full name, subject hierarchy, periodicity, unit, source, coverage dates, decimals, formula, and warnings. Use when interpreting a BCB series without retrieving observations.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | Exact BCB dataset ID returned by search_official_data. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_bcb_series Get observations from a BCB SGS series ~132
Retrieve official observations and authoritative schema metadata for an exact BCB SGS dataset ID. Use only after search_official_data identifies the series. Dates, units, periodicity, source, and raw values are preserved; generic access does not guess transformations.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | Exact BCB dataset ID returned by search_official_data. |
| end | string | – | Inclusive end date; defaults to today. |
| limit | integer | – | Maximum number of observations to return. |
| order | string | – | Observation order by date. |
| start | string | – | Inclusive start date; defaults to three years ago. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_comexstat_data Query official Brazilian merchandise trade ~200
Retrieve a bounded, explicit MDIC Comex Stat export or import slice from 1997 onward. Use comexstat:general only after search_official_data. Select period, dimensions, metrics, and optional official filter codes; partner, product, state, transport, classification, and raw metric fields remain attached to the result.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | The official MDIC Comex Stat dataset identifier. |
| details | array | – | Official dimensions to include, up to eight. |
| filters | array | – | Optional official dimension filters. |
| flow | string | yes | Trade direction to retrieve. |
| from | string | yes | First month, YYYY-MM. |
| language | string | – | Language for labels in the upstream response. |
| metrics | array | – | Official Comex Stat metrics to return. |
| month_detail | boolean | – | Whether to keep month-level detail in the response. |
| to | string | yes | Last month, YYYY-MM. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_cvm_investment_funds Query official CVM investment-fund reports ~183
Retrieve daily CVM aggregates by official fund classification or resolve a fund/class latest report by CNPJ or name. Net assets and flows are additive; quota values stay fund-level; reported holder totals are not deduplicated people.
| Name | Type | Req | Description |
|---|---|---|---|
| breakdown | string | – | Whether to aggregate by official classification or resolve a fund. |
| classifications | array | – | Official fund classifications to include. |
| dataset_id | string | yes | The official CVM investment-funds dataset identifier. |
| from | string | – | Inclusive first report date, YYYY-MM-DD. |
| funds | array | – | Unformatted 14-digit fund/class CNPJ values. |
| limit | integer | – | Maximum fund or classification rows to return. |
| query | string | – | Fund-name search; use only with breakdown=fund. |
| to | string | – | Inclusive last report date, YYYY-MM-DD. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_cvm_investment_funds_schema Inspect CVM investment-fund measures and dimensions ~66
Inspect the synchronized CVM daily-report window, official classifications, fund-search contract, measure meanings, and aggregation constraints. Use before querying a fund by name or comparing classes.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | The official CVM investment-funds dataset identifier. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_epe_electricity_consumption Query official electricity consumption ~184
Retrieve monthly EPE electricity consumption and consumer counts from 2004 onward. Select a bounded period, country/region/UF geography, consumption classes, and regulated/free market. The response identifies the exact synchronized official workbook version and discloses aggregation across source system rows.
| Name | Type | Req | Description |
|---|---|---|---|
| classes | array | – | Consumption classes to include. |
| dataset_id | string | yes | The official EPE electricity-consumption dataset identifier. |
| from | string | – | Inclusive first month, YYYY-MM. |
| geography | string | – | Geographic aggregation level. |
| limit | integer | – | Maximum rows to return. |
| markets | array | – | Electricity-market segments to include. |
| regions | array | – | Optional official regions when geography is region. |
| states | array | – | Optional official state codes when geography is state. |
| to | string | – | Inclusive last month, YYYY-MM. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_ibge_data Query multidimensional IBGE data ~152
Retrieve an explicit slice of an IBGE aggregate after inspecting its schema. Returns variables containing classification selections, geographies, and observations; official suppression, missing, quality-flag, and zero states remain distinct.
| Name | Type | Req | Description |
|---|---|---|---|
| classification | string | – | Explicit classification selections from the schema, such as 11255[90707]. |
| dataset_id | string | yes | Exact IBGE aggregate ID returned by search_official_data. |
| locality | string | – | BR or an explicit IBGE geography selection such as N3[35]. |
| periods | string | – | Recent-period shorthand such as -12, or explicit official period IDs separated by |. |
| variable | string | yes | One or more official variable IDs separated by |. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_ibge_schema Inspect an IBGE aggregate's measures and dimensions ~75
Fetch official metadata for an IBGE aggregate selected by search_official_data. Always use this before get_ibge_data unless the official variable, locality, and classification IDs are already known. It prevents guessing a measure or dimensional slice.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | Exact IBGE aggregate ID returned by search_official_data. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_mte_formal_employment Query official formal-employment stock and flows ~193
Retrieve revised monthly Novo Caged stock, admissions, dismissals, balance, and relative change from 2020 onward. Select exactly one official breakdown: country, region, state, or economic activity. The response preserves the MTE workbook vintage and never synthesizes state-by-industry values.
| Name | Type | Req | Description |
|---|---|---|---|
| breakdown | string | – | Official breakdown for the employment result. |
| dataset_id | string | yes | The official MTE Novo Caged dataset identifier. |
| from | string | – | Inclusive first month, YYYY-MM. |
| industries | array | – | Exact official activity IDs returned by get_mte_formal_employment_schema; empty means all activities. |
| limit | integer | – | Maximum rows to return. |
| regions | array | – | Optional official regions when breakdown is region. |
| states | array | – | Optional official state codes when breakdown is state. |
| to | string | – | Inclusive last month, YYYY-MM. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_mte_formal_employment_schema Inspect Novo Caged dimensions and measures ~70
Inspect the official adjusted Novo Caged selection contract, source vintage, measure meanings, available industry IDs, and the constraint that geography and industry come from separate official tables. Use before an industry query.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | The official MTE Novo Caged dataset identifier. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_siconfi_data Query official SICONFI fiscal data ~223
Retrieve an explicit official SICONFI DCA, RREO, RGF, or entity-registry selection. First inspect the schema. This tool preserves account, column, annex, period, entity, raw value fields, and upstream provenance without aggregating or substituting concepts.
| Name | Type | Req | Description |
|---|---|---|---|
| annex | string | – | Exact official annex name from the SICONFI documentation. |
| dataset_id | string | yes | Exact SICONFI dataset ID returned by search_official_data. |
| entity | integer | – | Official IBGE entity code. |
| period | integer | – | RREO bimestre (1-6) or RGF period (1-3). |
| periodicity | string | – | RGF only: four-month (Q) or half-year (S). |
| power | string | – | RGF government branch. |
| report_type | string | – | Official SICONFI report type for the selected dataset. |
| sphere | string | – | Government sphere: municipal, state, federal, or consortium. |
| year | integer | – | Calendar year of the official report. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_siconfi_schema Inspect a SICONFI fiscal report ~80
Get the meaning and required selection fields for an exact SICONFI dataset returned by search_official_data. Use this before get_siconfi_data so entity, reporting period, report type, government branch, and annex are explicit rather than guessed.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | Exact SICONFI dataset ID returned by search_official_data. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_tesouro_dpf Query Federal Public Debt statistics ~170
Retrieve one official monthly RMD table at a time: debt composition, DPMFi holders, average maturity, average maturity by indexer, monthly cost, or twelve-month cost. Units remain table-specific and are never combined.
| Name | Type | Req | Description |
|---|---|---|---|
| categories | array | – | Exact category IDs returned for the selected table by get_tesouro_dpf_schema. |
| dataset_id | string | yes | The official Tesouro Nacional DPF debt-profile dataset identifier. |
| from | string | – | Inclusive first month, YYYY-MM. |
| limit | integer | – | Maximum debt-statistics rows to return. |
| query | string | – | Category-label search; useful when category IDs are unknown. |
| table | string | – | Versioned RMD table to retrieve. |
| to | string | – | Inclusive last month, YYYY-MM. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_tesouro_dpf_schema Inspect Federal Public Debt statistics ~64
Inspect the six versioned RMD annex tables, their distinct units and coverage, category IDs, holder definitions, source publication, and methodological constraints before selecting data.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | The official Tesouro Nacional DPF debt-profile dataset identifier. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_tesouro_rtn Query Government Central revenue, expenditure, and result ~149
Retrieve monthly current-value RTN accounts from 1997 onward. Defaults to total revenue, transfers, net revenue, total expenditure, and the above-the-line primary result; select exact account IDs or search account labels for detail.
| Name | Type | Req | Description |
|---|---|---|---|
| accounts | array | – | Exact account IDs returned by get_tesouro_rtn_schema. |
| dataset_id | string | yes | The official Tesouro Nacional RTN dataset identifier. |
| from | string | – | Inclusive first month, YYYY-MM. |
| limit | integer | – | Maximum account rows to return. |
| query | string | – | Account-label search; omit accounts to search the full tree. |
| to | string | – | Inclusive last month, YYYY-MM. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
get_tesouro_rtn_schema Inspect Government Central fiscal accounts ~68
Inspect RTN table 1.2 account IDs, hierarchy, current-value unit, coverage, source vintage, and above/below-the-line constraints. Use before selecting revenue or expenditure categories.
| Name | Type | Req | Description |
|---|---|---|---|
| dataset_id | string | yes | The official Tesouro Nacional RTN dataset identifier. |
| Name | Type | Req | Description |
|---|---|---|---|
| data | – | yes | Source-preserving data or schema payload for the selected official dataset. |
| links | object | – | Related API links. |
| meta | object | yes | Response metadata and source provenance. |
No examples provided.
search_official_data Search Brazilian official economic data ~111
Start here for a natural-language Brazilian economic-information need in Portuguese or English. Resolves the economic concept independently of current coverage, returns ranked official datasets, stable-series shortcuts, confidence, missing source integrations, and an explicit unresolved/partial state. Use this before any data query when the exact official dataset ID is unknown.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Maximum official dataset candidates to return. |
| query | string | yes | The user's complete economic-data need, including measure, geography, period, and breakdown when known. |
| Name | Type | Req | Description |
|---|---|---|---|
| availability | object | yes | Coverage assessment. |
| concepts | array | yes | Ranked economic concepts matched to the request. |
| datasets | array | yes | Ranked official datasets and their source identity. |
| normalizedQuery | string | yes | Normalized form used for semantic resolution. |
| query | string | yes | The original natural-language economic need. |
| resolution | object | yes | Concept-resolution result. |
No examples provided.
What is the Open Economics MCP server?
Open Economics is an MCP server listed in the public MCP registry as io.github.felipegambettadesouza6-jpg/open-economics. Discover, resolve, and query official Brazilian economic data with semantic search and provenance. This page covers its hosted endpoint (https://open-economics-data.knbf982hkn.chatgpt.site/api/mcp).
Is the Open Economics MCP server safe to use?
Open Economics scores 76 out of 100 on VerifyMCP. 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 Open Economics MCP server expose?
Open Economics exposes 19 tools: search_official_data, describe_official_dataset, get_bcb_series, get_bcb_schema, get_ibge_schema, and 14 more. Their descriptions and schemas cost roughly 2,572 tokens of context every time the server is loaded.
Does the Open Economics MCP server require authentication?
No. We connected to Open Economics without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Open Economics MCP server still maintained?
Open Economics 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.