Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Collaborative BrAPI v2.1 MCP workspace: studies, germplasm, genotypes across Breedbase, T3, more.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
BRAPI_DEFAULT_BASE_URL, BRAPI_ENABLE_WRITES, BRAPI_PAGE_SIZE, MCP_LOG_LEVEL필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://brapi.caseyjhand.com/mcpClaude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"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"
}
}
}
}터미널에서 이 명령어를 실행하세요
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-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"brapi": {
"url": "https://brapi.caseyjhand.com/mcp"
}
}
}프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"brapi": {
"type": "http",
"url": "https://brapi.caseyjhand.com/mcp"
}
}
}프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"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"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://brapi.caseyjhand.com/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
BRAPI_DEFAULT_BASE_URL envBRAPI_ENABLE_WRITES envBRAPI_PAGE_SIZE envMCP_LOG_LEVEL env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 cyanheads 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
둘 다 가능해요. 내 컴퓨터에 설치해도 되고, 클라우드 버전에 연결해도 돼요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.10.1)은 19일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, First Sale Scout
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
Playbooks and a 14-day checklist for founders winning their first paying customers.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
@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, safet앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요