RFP.ai
v1.0.1
MCP ServerMCP Registry
ai.rfp/rfp-ai
Draft cited RFP and security questionnaire answers from your knowledge base, with human review
streamable-httpregistry 收录
vectora
MCP ServerMCP Registry官方收录
io.github.brunosrz/vectora · v0.1.0rc3
AI assistant with RAG, web search, filesystem and memory. MCP sub-agent for Claude Code.
概览
vectora 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。
安装
选择你的平台查看安装方式
{
"mcpServers": {
"vectora": {
"command": "uvx",
"args": [
"vectora-agent"
],
"env": {
"COHERE_API_KEY": "<COHERE_API_KEY>",
"TAVILY_API_KEY": "<TAVILY_API_KEY>"
}
}
}
}环境变量
GOOGLE_API_KEY可选secretGoogle Gemini API key (recommended free-tier LLM provider)
COHERE_API_KEY必填secretCohere API key — required for RAG embeddings and reranking
TAVILY_API_KEY必填secretTavily API key — required for web search and URL extraction
OPENAI_API_KEY可选secretOpenAI API key (optional — alternative LLM provider)
ANTHROPIC_API_KEY可选secretAnthropic API key (optional — alternative LLM provider)
LANGSMITH_API_KEY可选secretLangSmith API key (optional — tracing and observability)
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统一 Manifest
{
"id": "io.github.brunosrz/vectora",
"type": "mcp-server",
"version": "0.1.0rc3",
"displayName": "vectora",
"description": "AI assistant with RAG, web search, filesystem and memory. MCP sub-agent for Claude Code.",
"repository": {
"url": "https://github.com/brunosrz/vectora",
"source": "github"
},
"distribution": {
"packages": [
{
"registryType": "pypi",
"identifier": "vectora-agent",
"version": "0.1.0rc3",
"transport": "stdio",
"environmentVariables": [
{
"name": "GOOGLE_API_KEY",
"description": "Google Gemini API key (recommended free-tier LLM provider)",
"isSecret": true
},
{
"name": "COHERE_API_KEY",
"description": "Cohere API key — required for RAG embeddings and reranking",
"isRequired": true,
"isSecret": true
},
{
"name": "TAVILY_API_KEY",
"description": "Tavily API key — required for web search and URL extraction",
"isRequired": true,
"isSecret": true
},
{
"name": "OPENAI_API_KEY",
"description": "OpenAI API key (optional — alternative LLM provider)",
"isSecret": true
},
{
"name": "ANTHROPIC_API_KEY",
"description": "Anthropic API key (optional — alternative LLM provider)",
"isSecret": true
},
{
"name": "LANGSMITH_API_KEY",
"description": "LangSmith API key (optional — tracing and observability)",
"isSecret": true
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.brunosrz/vectora",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.brunosrz%2Fvectora/versions/latest",
"isOfficial": true,
"status": "active"
}
}