Brapi MCP Server

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 电脑或云端
• 传输方式: stdio, Streamable HTTP
• 分类: 其他

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接
• npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

https://brapi.caseyjhand.com/mcp

{
  "mcpServers": {
    "brapi": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/brapi-mcp-server"
      ],
      "env": {
        "BRAPI_DEFAULT_BASE_URL": "your-value",
        "BRAPI_ENABLE_WRITES": "your-value",
        "BRAPI_PAGE_SIZE": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

claude mcp add --transport http brapi https://brapi.caseyjhand.com/mcp

claude mcp add brapi --env BRAPI_DEFAULT_BASE_URL=your-value --env BRAPI_ENABLE_WRITES=your-value --env BRAPI_PAGE_SIZE=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/brapi-mcp-server

{
  "mcpServers": {
    "brapi": {
      "url": "https://brapi.caseyjhand.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "brapi": {
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/brapi-mcp-server"
      ],
      "env": {
        "BRAPI_DEFAULT_BASE_URL": "your-value",
        "BRAPI_ENABLE_WRITES": "your-value",
        "BRAPI_PAGE_SIZE": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

{
  "servers": {
    "brapi": {
      "type": "http",
      "url": "https://brapi.caseyjhand.com/mcp"
    }
  }
}

{
  "servers": {
    "brapi": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cyanheads/brapi-mcp-server"
      ],
      "env": {
        "BRAPI_DEFAULT_BASE_URL": "your-value",
        "BRAPI_ENABLE_WRITES": "your-value",
        "BRAPI_PAGE_SIZE": "your-value",
        "MCP_LOG_LEVEL": "your-value"
      }
    }
  }
}

https://brapi.caseyjhand.com/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

• BRAPI_DEFAULT_BASE_URL env
  Default BrAPI v2 base URL. Optional — connections can be opened at runtime via the brapi_connect tool instead.
• BRAPI_ENABLE_WRITES env
  Opt-in flag for the write surface (brapi_submit_observations). Off by default — the tool is omitted from tools/list unless the operator opts in.
• BRAPI_PAGE_SIZE env
  Upstream pageSize used during canvas spillover walks (decoupled from BRAPI_LOAD_LIMIT). Dataframe ceiling = pageSize × 50 pages, capped at 50,000 rows.
• MCP_LOG_LEVEL env
  Sets the minimum log level for output (e.g., 'debug', 'info', 'warn').

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月7日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• brapi_connect

  Open a connection to a BrAPI v2 server, authenticate, and return the full orientation envelope (server identity, capability profile, content summary, suggested next tools). Other BrAPI tools connect an alias the server has a URL configured for (a built-in or operator-configured a

• brapi_build_phenotype_matrix

  Pull observations across one or more studies and pivot them into a germplasm × trait matrix materialized as a canvas dataframe. Returns a dataframe handle (read it with brapi_dataframe_describe and brapi_dataframe_query) plus a summary of dimensions and aggregate method. Long-for

• brapi_server_info

  Return the full orientation envelope for a BrAPI connection — server identity, capabilities, content counts, suggested finders, and notes. Pass forceRefresh to refetch the cached capability scan; pass an alias to read a non-default connection.

• brapi_describe_filters

  List the valid filter names for a BrAPI endpoint (studies, germplasm, observations, variables, images, variants, locations) — companion lookup for the `extraFilters` passthrough on any `find_*` tool. Entries reflect the BrAPI v2.1 spec; individual servers may implement subsets.

• brapi_find_studies

  Locate studies matching crop, trial type, season, location, or program. Enriches results with program/trial/location context in one call. results[] holds the leading matches up to loadLimit and a 24,000-byte budget; when it holds fewer rows than matched, the matched set is materi

• brapi_get_study

  Fetch a single study by DbId with its program, trial, and location records resolved where those lookups succeed. Response includes cheap observation/observation-unit/variable counts as drill-down signals.

• brapi_find_germplasm

  Find germplasm by name, synonym, accession number, PUI, crop, or free-text query. Matches across registered synonyms. results[] holds the leading matches up to loadLimit and a 24,000-byte budget; when it holds fewer rows than matched, the matched set is materialized as a datafram

• brapi_get_germplasm

  Fetch a single germplasm by DbId with attributes and direct parents. Response companions report study count, direct parent count, and direct descendant count — signals for pedigree depth and observation coverage.

• brapi_walk_pedigree

  Walk germplasm ancestry or descendancy as a deduplicated DAG with cycle detection and depth limits. leafCount counts graph terminals, confirmedLeafCount counts successfully verified leaves, and frontier records unresolved directions. Nodes and edges each fit loadLimit and a 24,00

• brapi_germplasm_performance

  Aggregate a single germplasm's observations across studies, returning per-variable statistics (n, mean, median, sd, min, max), contributing studies, seasons, and collection coverage. SGN/Breedbase uses advertised germplasm-scoped observation units with embedded measurements, incl

• brapi_find_variables

  Find observation variables (traits) by name, trait class, ontology term, or free-text query. Free-text queries are ranked against every fetched row by PUI, name, synonym, and trait text; a candidate carries the ontology PUI of its row as termId when the row has one. results[] hol

• brapi_find_observations

  Pull observation records filtered by study, germplasm, variable, season, or observation unit. Without a studies, trials, observationUnits, or observations anchor, a GET query first runs a one-row count probe and skips the bulk pull (warnings says so) when the probe fails or repor

• brapi_find_images

  Filter images by observation unit, observation, study, descriptive ontology term, file name, or MIME type. Returns metadata only — use brapi_get_image to fetch bytes inline. results[] holds the leading matches up to loadLimit and a 24,000-byte budget; when it holds fewer rows tha

• brapi_get_image

  Fetch image bytes for up to 5 imageDbIds and return them inline as `type: image` content blocks. Falls back to the metadata `imageURL` when the server lacks dedicated image-content delivery or that request fails. No filesystem side-effects.

• brapi_find_locations

  Find research stations / field sites by country, abbreviation, type, location ID, or free-text. Countries filter by ISO 3166-1 alpha-3 code via countryCodes, or by free-form English country name via countryNames (resolved client-side to alpha-3 — "Uganda" → "UGA"). Optional bbox

• brapi_find_variants

  Find variant records by variant set, reference sequence, or genomic region (start/end, 0-based inclusive / exclusive per the BrAPI spec; servers may differ). results[] holds the leading matches up to loadLimit and a 24,000-byte budget; when it holds fewer rows than matched, the m

• brapi_find_genotype_calls

  Pull genotype calls for a germplasm × variant set. Filter to bound cost — at minimum, set `variantSetDbId` or `germplasmDbIds`. The upstream pull is capped by deployment policy; when the pull is truncated, narrow the filters. results[] holds the leading calls up to `loadLimit` an

• brapi_export_genotype_matrix

  Pull genotype calls for a germplasm × variant set and pivot them into a matrix. `matrix-json` registers a wide canvas dataframe; `vcf-lite` adds VCF-subset text in `vcf`; `plink` adds .ped/.map text in `ped`/`map`. Text formats pull /variants metadata and convert zero-based BrAPI

• brapi_dataframe_describe

  Start here after a spillover. Lists dataframes (or describes one) with columns, row counts, and originating-source provenance. The dataframe name appears inline on every find_* response that spilled (`result.dataframe.tableName`) — pass it as `dataframe` to inspect schema and pro

• brapi_dataframe_query

  Run SQL across in-memory dataframes. Dataframes auto-populate when find_* tools spill (named `df_ `) — the dataframe name appears inline on every find_* response that spilled (`result.dataframe.tableName`), so the typical flow is find_* → read the name → query here. Use brapi_dat

• brapi_raw_get

  Passthrough to BrAPI GET /{path} without foreign-key resolution. List results (result array or result.data) return a leading preview within loadLimit and a 24,000-byte budget on each serialized row representation; an oversized first row returns no inline rows. Omitted fetched row

• brapi_raw_search

  Passthrough to BrAPI POST /search/{noun}, polling async search IDs. Sends loadLimit as the initial pageSize unless body.page/pageSize drives explicit paging. List previews fit loadLimit and a 24,000-byte budget on each serialized row representation; an oversized first row returns

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

• ✓ 通过

  作者与仓库一致

  注册名称已通过 GitHub 账户 cyanheads 验证，该账户拥有此仓库

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 111 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 22 个工具描述，未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

• 星标数多于此分类中其他 18379 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 18379 个服务器的 69% 更新
• 基础检查结果等于或优于此分类中其他 18379 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README