Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Collaborative BrAPI v2.1 MCP workspace: studies, germplasm, genotypes across Breedbase, T3, more.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
BRAPI_DEFAULT_BASE_URL, BRAPI_ENABLE_WRITES, BRAPI_PAGE_SIZE, MCP_LOG_LEVEL必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://brapi.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"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"
}
}
}
}ターミナルでこれを実行します
claude mcp add --transport http brapi https://brapi.caseyjhand.com/mcpclaude 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動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"brapi": {
"url": "https://brapi.caseyjhand.com/mcp"
}
}
}プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"brapi": {
"type": "http",
"url": "https://brapi.caseyjhand.com/mcp"
}
}
}プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://brapi.caseyjhand.com/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
BRAPI_DEFAULT_BASE_URL envBRAPI_ENABLE_WRITES envBRAPI_PAGE_SIZE envMCP_LOG_LEVEL envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーのツール一覧はまだ読み取っていません。エンドポイントは順番にチェックしています。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント cyanheads で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。
GitHubリポジトリの最終更新は–、最新バージョン(0.10.1)がレジストリに届いたのは19 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Date Math
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Exact date/time math for agents: business days, holidays, time zones, cron, RRULE, SLA. x402 paid.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
@cyanheads/brapi-mcp-server A collaborative BrAPI v2.1 workspace for multi-agent research via MCP. Search studies, germplasm, genotypes, and more across Breedbase, T3, Sweetpotatobase, and any BrAPI v2-compliant server. 25 Tools • 6 Resources • 2 Prompts
Public Hosted Server: https://brapi.caseyjhand.com/mcp
Plant-breeding data from any BrAPI (Breeding API) v2 server — Breedbase instances like Cassavabase and Sweetpotatobase, the Triticeae Toolbox (T3), and more, several at once. Search studies, germplasm, observations, and genotypes, walk pedigrees, and build phenotype and genotype matrices, with large results queryable in SQL.
| Tool | Description |
|---|---|
brapi_connect | Authenticate to a BrAPI v2 server, register it under an alias, and return the orientation envelope |
brapi_server_info | Return the orientation envelope for an alias, optionally refreshing capabilities |
brapi_describe_filters | List valid filter names for an endpoint, for use in any finder's extraFilters |
brapi_find_studies | Find studies by crop, trial type, season, location, or program |
brapi_get_study | Fetch a study with program, trial, and location resolved, plus companion counts |
brapi_find_germplasm | Find germplasm by name, synonym, accession, PUI, crop, or free text |
brapi_get_germplasm | Fetch a germplasm with attributes, direct parents, and companion counts |
brapi_walk_pedigree | Walk ancestry or descendancy as a deduplicated DAG with cycle detection |
brapi_find_variables | Find observation variables by name, trait class, or ontology term, with free-text ranking |
brapi_find_observations | Pull observation records by study, germplasm, variable, season, or unit |
brapi_find_images | Find image metadata by unit, observation, study, ontology term, or MIME type |
brapi_get_image | Fetch up to 5 images inline as image content blocks |
brapi_find_locations | Find research stations by country, type, abbreviation, or bounding box |
brapi_find_variants | Find variants by variant set, reference, or genomic region |
brapi_find_genotype_calls | Pull genotype calls through async search, bounded by a deployment pull ceiling |
brapi_dataframe_describe | List dataframes, or describe one with columns, row count, and provenance |
brapi_dataframe_query | Run read-only SQL across dataframes |
brapi_dataframe_drop | _Opt-in._ Drop a dataframe by name |
brapi_dataframe_export | _Opt-in, stdio-only._ Export a dataframe to disk as CSV, Parquet, or JSON |
brapi_build_phenotype_matrix | Build a germplasm × trait matrix from one or more studies as a dataframe |
brapi_germplasm_performance | Per-variable aggregates (n, mean, median, sd, min, max) for one germplasm across its studies |
brapi_export_genotype_matrix | Pivot a variant set's calls into a germplasm × variant matrix, with VCF-lite or PLINK text |
brapi_submit_observations | _Opt-in._ Two-phase observation write: preview validates, apply confirms and writes |
brapi_raw_get | Passthrough to any GET /{path} endpoint no curated tool covers |
brapi_raw_search | Passthrough to any POST /search/{noun} endpoint, with async polling handled |
| Resource | Description |
|---|---|
brapi://server/info | Orientation envelope for the default connection |
brapi://calls | Raw capability profile (/serverinfo + /calls) for the default connection |
brapi://study/{studyDbId} | One study with program, trial, and location resolved |
brapi://germplasm/{germplasmDbId} | One germplasm with attributes and parents |
brapi://filters/{endpoint} | Filter catalog for one endpoint |
brapi://variable/{observationVariableDbId} | One observation variable (trait, scale, method, ontology) |
Every resource reads the default connection and mirrors a tool; tool-only clients and multi-server workflows use the tools.
| Prompt | Description |
|---|---|
brapi_eda_study | Exploratory-data-analysis playbook for one study, ending in a structured report |
brapi_meta_analysis | Cross-study meta-analysis playbook for a germplasm × trait combination |
Identifier filters also accept their BrAPI *DbId / *DbIds spellings where equivalent: for example, imageDbId for imageDbIds, studyDbIds for studies, and observationVariableDbIds for variables. Array filters accept a lone string or multiple IDs. Supply one spelling per filter; conflicting spellings are rejected.
brapi_connect toolbaseUrl and auth are optional: omitted values come from BRAPI_ _* env vars, the built-in aliases, then BRAPI_DEFAULT_* (see Per-alias credentials); alias (default default, pattern ^[a-zA-Z0-9_-]+$) keeps several servers registered at once; auth.mode is none, bearer, api_key, sgn (Breedbase /token exchange), or oauth2 (client credentials)server identity, auth summary, capabilities (supported, notableGaps), active dialect, content counts, attribution for built-in servers, and nextToolSuggestions naming the entry-point finders this server can serveauth_session_required, auth_base_url_mismatch, alias_base_url_unset, alias_base_url_invalid, private_address_blocked, auth_token_exchange_failed, auth_no_access_token, upstream_unauthorized, upstream_forbidden, capability_discovery_unavailable (retryable); a failed connect leaves any earlier registration under the alias intactdefault when BRAPI_DEFAULT_BASE_URL is set, a built-in, or a BRAPI_ _BASE_URL alias): any other tool or resource connects it on first use, as brapi_connect with no baseUrl or auth would, and concurrent first calls share one connect. An alias with no URL of its own still fails unknown_alias, even with BRAPI_DEFAULT_* set, so a mistyped alias never reaches the default server. Those tools and resources declare the connect failures they can hit (the token, discovery, auth-wall, alias_base_url_invalid, and private_address_blocked errors above), each with a recovery hintbrapi_server_info toolalias optional; forceRefresh (default false) refetches the capability profile instead of reading the cachebrapi_connectbrapi_describe_filters toolendpoint is one of studies, germplasm, observations, variables, images, variants, locations; unknown_endpoint carries availableEndpointsname, type, description, and example; the catalog follows the v2.1 spec, and individual servers may honor a subsetbrapi_find_studies toolcrop, trialTypes, seasons, locations, programs, trials, studyNames, active; on SGN servers (CassavaBase, Breedbase, Sweetpotatobase), which ignore the location filter on /studies, locations is applied client-side over the scanned studies, and totalCount is the matched countdistributions over programName, studyType, seasons, locationName, commonCropNameadditionalInfo, preserving the raw metadata.brapi_get_study toolstudyDbId required; resolves program, trial, and location inline; study_not_found when the upstream has no such studyadditionalInfo; when the study has no program ID, the fetched parent trial can supply it for program resolution.observationCount, observationUnitCount, variableCount; a count the server can't scope to the study is omitted with a warning, never reported as the server-wide totalbrapi_find_germplasm toolnames, germplasmDbIds, germplasmPUIs, accessionNumbers, crops, synonyms, collections, genus, species; text is a client-side substring match on name, PUI, accession, display name, and synonyms that drops non-matching rows. Its first request uses BRAPI_PAGE_SIZE independently of inline loadLimit; it scans every upstream row when the set fits one dataframe walk (50,000 rows at the default page size). Above that, a first-page miss stops after one request and reports the actual rows scanned; it does not establish absence from the catalog, so pair it with a server-side filter.distributions over commonCropName, genus, species, collection, countryOfOriginCodebrapi_get_germplasm toolgermplasmDbId required; returns attributes and direct parents; germplasm_not_found when the upstream has no such germplasmstudyCount, directParentCount, directDescendantCountbrapi_walk_pedigree toolgermplasmDbIds (germplasmDbId also accepted); direction is ancestors (default), descendants, or both; maxDepth 1–10 (default 3); the walk stops at 1,000 nodes or 10,000 edges and sets truncatedboth is the union of the two walks: ancestors expand only through /pedigree and descendants only through /progeny, so a descendant's other parent is not pulled incycleCount counts the edges marked isCycle, where a germplasm becomes its own ancestor — shared ancestors and siblings are not cyclesleafCount counts graph terminals, including depth-boundary nodes; confirmedLeafCount counts non-root nodes whose relevant lookups successfully returned no relatives. frontier / frontierCount distinguish depth-limited, safet冒頭だけを表示しています。続きはリポジトリで読めます