RFP.ai
v1.0.1
ai.rfp/rfp-ai
Draft cited RFP and security questionnaire answers from your knowledge base, with human review
io.github.kimimgo/viznoir · v0.10.1
Cinema-quality science visualization for AI agents — headless VTK via MCP.
viznoir 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": {
"viznoir": {
"command": "uvx",
"args": [
"viznoir"
]
}
}
}VIZNOIR_RENDER_BACKEND可选Rendering backend: gpu, cpu, or auto
VIZNOIR_OUTPUT_DIR可选Output directory for rendered images
v1.0.1
ai.rfp/rfp-ai
Draft cited RFP and security questionnaire answers from your knowledge base, with human review
v1.1.0
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com.docimprint/api
AI document intelligence: extract, summarize, claim-check, and notarize with on-chain proofs.
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io.github.blackwell-systems/agent-lsp
Stateful LSP runtime for AI agents — 50+ tools across 30+ languages via MCP.
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io.github.hostinger/hostinger-api-mcp
MCP server for Hostinger API
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io.github.zhitongblog/unterm
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{
"id": "io.github.kimimgo/viznoir",
"type": "mcp-server",
"version": "0.10.1",
"displayName": "viznoir",
"description": "Cinema-quality science visualization for AI agents — headless VTK via MCP.",
"repository": {
"url": "https://github.com/kimimgo/viznoir",
"source": "github"
},
"homepage": "https://kimimgo.github.io/viznoir/",
"distribution": {
"packages": [
{
"registryType": "pypi",
"identifier": "viznoir",
"version": "0.10.1",
"transport": "stdio",
"environmentVariables": [
{
"name": "VIZNOIR_RENDER_BACKEND",
"description": "Rendering backend: gpu, cpu, or auto"
},
{
"name": "VIZNOIR_OUTPUT_DIR",
"description": "Output directory for rendered images"
}
]
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"claude-code",
"claude-desktop",
"cursor",
"vscode"
],
"keywords": [],
"provenance": {
"origin": "official-mcp-registry",
"originalId": "io.github.kimimgo/viznoir",
"originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.kimimgo%2Fviznoir/versions/latest",
"isOfficial": true,
"status": "active"
}
}