SOTA2 — AI Solution Rankings
Compare published AI solution rankings, company facts and research benchmarks with sources.
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质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"sota2": {
"url": "https://www.sota2.com/mcp"
}
}
}远程端点
https://www.sota2.com/mcpstreamable-http它能做什么
工具清单
工具（11）
🟢search_companies(query, limit)
Resolves a named AI company to stable IDs, names and descriptions. Revenue-only records can have null catalog slug and profile URL; their returned ID remains usable for company lookup. Matches depend on spelling and available aliases; no matches do not prove a language is unsupported or a company does not exist. Ambiguous names can have multiple matches. This searches company identities rather than category leaderboards. Generic verification queries return no company rows and clarification_required with identities/KYC, document authenticity and factual-claim meanings.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 2,
"maxLength": 120
},
"limit": {
"default": 20,
"description": "Requested number of individual result rows (1–50): top 2 corresponds to limit 2. Also the page size for continuation requests.",
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"required": [
"query"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_company(company, dimensions, limit, offset)
Returns public data for an exact company ID or slug. Company and product soc2Disclosure states are separately reported_claims or unknown_not_disclosed, with original vendor claim statuses rather than independent certification. Available dimensions: profile, products, compliance, customers, deployment, funding, solution ranking appearances and revenue. Defaults to all dimensions. Missing catalog records may still have ranking or revenue data. Each collection has independent pagination using the same limit/offset.
输入模式
{
"type": "object",
"properties": {
"company": {
"type": "string",
"minLength": 1,
"maxLength": 160,
"description": "Exact returned company ID or slug."
},
"dimensions": {
"default": [
"profile",
"products",
"compliance",
"customers",
"deployment",
"funding",
"rankings",
"revenue"
],
"minItems": 1,
"maxItems": 8,
"type": "array",
"items": {
"type": "string",
"enum": [
"profile",
"products",
"compliance",
"customers",
"deployment",
"funding",
"rankings",
"revenue"
]
}
},
"limit": {
"default": 20,
"description": "Requested number of individual result rows (1–50): top 2 corresponds to limit 2. Also the page size for continuation requests.",
"type": "integer",
"minimum": 1,
"maximum": 50
},
"offset": {
"default": 0,
"description": "Row offset. Use nextOffset from the previous response.",
"type": "integer",
"minimum": 0,
"maximum": 100000
}
},
"required": [
"company"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_industries(query, limit, offset)
Lists supported industries with canonical IDs/slugs, names, descriptions and aliases. Includes cross-industry, consumer and agent audiences when available. An optional query filters this directory; without it the directory is browsable with pagination.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"maxLength": 120
},
"limit": {
"default": 20,
"description": "Requested number of individual result rows (1–50): top 2 corresponds to limit 2. Also the page size for continuation requests.",
"type": "integer",
"minimum": 1,
"maximum": 50
},
"offset": {
"default": 0,
"description": "Row offset. Use nextOffset from the previous response.",
"type": "integer",
"minimum": 0,
"maximum": 100000
}
},
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_tasks(industry, query, limit, offset)
Lists AI solution task IDs, slugs, descriptions and company coverage, optionally within an industry. An optional query filters the directory. Ambiguous 'AI verification platform', 'verification' and 'verify' queries include clarification_required with identities/KYC, document authenticity and factual-claim choices; these have no selected meaning. Company coverage overlaps across tasks, so task counts are not additive distinct-company totals.
输入模式
{
"type": "object",
"properties": {
"industry": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"query": {
"type": "string",
"minLength": 1,
"maxLength": 120
},
"limit": {
"default": 20,
"description": "Requested number of individual result rows (1–50): top 2 corresponds to limit 2. Also the page size for continuation requests.",
"type": "integer",
"minimum": 1,
"maximum": 50
},
"offset": {
"default": 0,
"description": "Row offset. Use nextOffset from the previous response.",
"type": "integer",
"minimum": 0,
"maximum": 100000
}
},
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_solution_rankings(industry, task, limit, offset)
Returns published AI solution rankings for a specified industry/task. Industry only returns its task directory and cross-industry links; industry + task selects that exact scope; task only selects cross-industry. Missing entities/combinations return normal not_found results with discovery guidance, never another scope. Ambiguous categories return needs_selection or clarification_required. Positions/scores apply within the selected scope; cross-scope quality differences are not established. Top N corresponds to limit N rows. Unreviewed positions/scores are null.
输入模式
{
"type": "object",
"properties": {
"industry": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"task": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"limit": {
"default": 20,
"description": "Requested number of individual result rows (1–50): top 2 corresponds to limit 2. Also the page size for continuation requests.",
"type": "integer",
"minimum": 1,
"maximum": 50
},
"offset": {
"default": 0,
"description": "Row offset. Use nextOffset from the previous response.",
"type": "integer",
"minimum": 0,
"maximum": 100000
}
},
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_company_leaderboards
List supported AI company leaderboards by annual revenue, country/region and category. Returns IDs, scope, descriptions and source URLs. Country lists rank companies within a geography; they do not rank countries.
输入模式
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_company_leaderboard(leaderboard, limit, offset)
Returns a published AI company leaderboard by its exact ID, e.g. ai-global, ai-usa or ai-china. Includes ranks and ties, revenue in USD, reporting basis, period, confidence and original sources. Revenue, ARR, run-rate, forecasts and estimates have distinct basis labels.
输入模式
{
"type": "object",
"properties": {
"leaderboard": {
"type": "string",
"minLength": 1,
"maxLength": 160
},
"limit": {
"default": 20,
"description": "Requested number of individual result rows (1–50): top 2 corresponds to limit 2. Also the page size for continuation requests.",
"type": "integer",
"minimum": 1,
"maximum": 50
},
"offset": {
"default": 0,
"description": "Row offset. Use nextOffset from the previous response.",
"type": "integer",
"minimum": 0,
"maximum": 100000
}
},
"required": [
"leaderboard"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢list_research_domains(query)
Lists AI research fields with canonical slugs and descriptions, such as NLP, computer vision, agents/tool use and RAG. These are research domains, separate from commercial company industries. An optional query filters the domain directory.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"minLength": 1,
"maxLength": 120
}
},
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢search_research(resource, query, page, domain, task, ...)
Searches research benchmarks, datasets, tasks or papers using keywords, benchmark/dataset names, paper titles, authors or arXiv identifiers. Returns 20 results per API page. Versions, test splits and Full/Hard variants can be separate benchmarks. Search summaries are discovery data, not validated performance ranks. Paper search requires query and has no count/date sort. Dataset/task/benchmark count sorts order discovery results, not cross-benchmark performance.
输入模式
{
"type": "object",
"properties": {
"resource": {
"default": "benchmarks",
"type": "string",
"enum": [
"benchmarks",
"datasets",
"papers",
"tasks"
]
},
"query": {
"type": "string",
"minLength": 1,
"maxLength": 200
},
"page": {
"default": 1,
"type": "integer",
"minimum": 1,
"maximum": 1000
},
"domain": {
"type": "string",
"minLength": 1,
"maxLength": 500
},
"task": {
"type": "string",
"minLength": 1,
"maxLength": 500
},
"dataset": {
"type": "string",
"minLength": 1,
"maxLength": 500
},
"sort": {
"type": "string",
"enum": [
"last_update",
"papers",
"results",
"benchmarks"
]
}
},
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_research_entity(type, identifier, page)
Returns one exact research entity. Dataset identifiers are dataset-FAMILY slugs (e.g. omnidocbench), not version slugs (e.g. omnidocbench-v1-5); family details include benchmarks across versions. Task/domain identifiers are canonical slugs; paper identifiers are 24-character paper IDs rather than arXiv IDs. Task/dataset details include benchmark links; domain details include research tasks. Paper details include abstract, authors, original/PDF/code links and related benchmarks when available. Missing entities return normal not_found results; API failures remain tool errors.
输入模式
{
"type": "object",
"properties": {
"type": {
"type": "string",
"enum": [
"task",
"dataset",
"paper",
"domain"
]
},
"identifier": {
"type": "string",
"minLength": 1,
"maxLength": 500,
"description": "Dataset: canonical dataset-FAMILY slug, not a version slug; task/domain: canonical slug; paper: canonical 24-character paper ID."
},
"page": {
"default": 1,
"type": "integer",
"minimum": 1,
"maximum": 1000
}
},
"required": [
"type",
"identifier"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢get_research_benchmark(benchmark, metric, method, limit, offset)
Returns individual reported result rows for one exact benchmark version/split and metric. Top N corresponds to limit N rows, each identified by resultId with exact method, configuration and global position, including ties. Rows are not deduplicated or grouped into method families. The optional method substring filter applies to the complete ranked benchmark before pagination, preserving global positions. results.nextCall contains exact continuation arguments. Includes metric direction, completeness checks, invalid-percentage warnings and separate reporting/origin papers.
输入模式
{
"type": "object",
"properties": {
"benchmark": {
"type": "string",
"minLength": 1,
"maxLength": 500,
"description": "Canonical benchmark slug from discovery, e.g. document-parsing-on-omnidocbench-v1-5. A display name such as OmniDocBench v1.5 returns discovery choices instead of result rows; no version or split is silently selected."
},
"metric": {
"type": "string",
"minLength": 1,
"maxLength": 500,
"description": "Exact metric name for this benchmark. A different metric defines a new result selection starting at offset 0."
},
"method": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"description": "Optional method name substring, e.g. PaddleOCR-VL for PaddleOCR-VL-related results. Case-insensitive filtering over the complete ranked benchmark before pagination; part of the selection on every filtered page. Positions remain global."
},
"limit": {
"default": 20,
"description": "Requested number of individual result rows (1–50): top 2 corresponds to limit 2. Also the page size for continuation requests.",
"type": "integer",
"minimum": 1,
"maximum": 50
},
"offset": {
"default": 0,
"description": "Row offset. Use nextOffset from the previous response.",
"type": "integer",
"minimum": 0,
"maximum": 100000
}
},
"required": [
"benchmark"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}输出模式
{
"type": "object",
"properties": {
"data": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"data"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}社区
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