brilliant-directories-mcp
v6.58.2
io.github.brilliantdirectories/brilliant-directories-mcp
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, and more.
io.github.musharna/data-aggregator-mcp · v0.41.1
Find & fetch research datasets across 12 archives, omics registries, and literature sources.
Data Aggregator 是一个MCP Server,收录自 官方 MCP Registry。支持 stdio 传输。本页提供 Cursor、Claude Code 等客户端的安装配置片段。
选择你的平台查看安装方式
{
"mcpServers": {
"data-aggregator-mcp": {
"command": "uvx",
"args": [
"data-aggregator-mcp"
]
}
}
}NCBI_API_KEY可选secretOptional NCBI E-utilities API key; raises the rate limit 3->10 req/s for omics, literature, and taxonomy lookups.
LLM_API_BASE可选Base URL of an OpenAI-compatible /chat/completions endpoint; enables search(understand=true) and search(multi_query=true).
LLM_API_KEY可选secretBearer token for the LLM endpoint (LLM_API_BASE); omit for keyless local servers.
LLM_MODEL可选Model name passed to the LLM endpoint (default: gpt-4o-mini); set to whatever your endpoint serves.
EMBEDDING_API_BASE可选Base URL of an OpenAI-compatible /embeddings endpoint; enables search(rank=semantic) re-ranking.
EMBEDDING_API_KEY可选secretBearer token for the embeddings endpoint (EMBEDDING_API_BASE); omit for keyless local servers.
EMBEDDING_MODEL可选Model name passed to the embeddings endpoint (default: text-embedding-3-small).
UNPAYWALL_EMAIL可选Email address sent to the Unpaywall API; required to enable the Unpaywall PDF fallback leg of literature full-text retrieval.
v6.58.2
io.github.brilliantdirectories/brilliant-directories-mcp
Official MCP server for Brilliant Directories — manage members, posts, leads, reviews, and more.
v3.1.0
io.github.pvliesdonk/markdown-vault-mcp
Markdown vault MCP server with FTS5 + semantic search and frontmatter indexing
v0.3.0
io.github.opendata-kr/narajangteo-opening
나라장터 낙찰정보서비스 Open API를 위한 로컬 MCP 서버
v3.10.1
io.github.webdriverio/mcp
MCP server with WebdriverIO for browser and mobile app automation (iOS/Android via Appium)
v0.0.53
io.github.cablate/google-map
18 Google Maps tools for AI agents — geocode, search, directions, weather, and more.
v1.0.0
ai.arpi/arpi-mcp
AI-powered ECG analysis: submit ECG images and receive diagnosis reports from ARPI's ECG AI.
{
"id": "io.github.musharna/data-aggregator-mcp",
"type": "mcp-server",
"version": "0.41.1",
"displayName": "Data Aggregator",
"description": "Find & fetch research datasets across 12 archives, omics registries, and literature sources.",
"repository": {
"url": "https://github.com/musharna/data-aggregator-mcp",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "pypi",
"identifier": "data-aggregator-mcp",
"version": "0.41.1",
"runtimeHint": "uvx",
"transport": "stdio",
"environmentVariables": [
{
"name": "NCBI_API_KEY",
"description": "Optional NCBI E-utilities API key; raises the rate limit 3->10 req/s for omics, literature, and taxonomy lookups.",
"isSecret": true
},
{
"name": "LLM_API_BASE",
"description": "Base URL of an OpenAI-compatible /chat/completions endpoint; enables search(understand=true) and search(multi_query=true)."
},
{
"name": "LLM_API_KEY",
"description": "Bearer token for the LLM endpoint (LLM_API_BASE); omit for keyless local servers.",
"isSecret": true
},
{
"name": "LLM_MODEL",
"description": "Model name passed to the LLM endpoint (default: gpt-4o-mini); set to whatever your endpoint serves."
},
{
"name": "EMBEDDING_API_BASE",
"description": "Base URL of an OpenAI-compatible /embeddings endpoint; enables search(rank=semantic) re-ranking."
},
{
"name": "EMBEDDING_API_KEY",
"description": "Bearer token for the embeddings endpoint (EMBEDDING_API_BASE); omit for keyless local servers.",
"isSecret": true
},
{
"name": "EMBEDDING_MODEL",
"description": "Model name passed to the embeddings endpoint (default: text-embedding-3-small)."
},
{
"name": "UNPAYWALL_EMAIL",
"description": "Email address sent to the Unpaywall API; required to enable the Unpaywall PDF fallback leg of literature full-text retrieval."
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.musharna/data-aggregator-mcp",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.musharna%2Fdata-aggregator-mcp/versions/latest",
"isOfficial": true,
"status": "active"
}
}