Google Antigravity Directory

The #1 directory for Google Antigravity prompts, rules, workflows & MCP servers. Optimized for Gemini 3 agentic development.

Resources

PromptsMCP ServersAntigravity RulesGEMINI.md GuideBest Practices

Company

Submit PromptAntigravityAI.directory

Popular Prompts

Next.js 14 App RouterReact TypeScriptTypeScript AdvancedFastAPI GuideDocker Best Practices

Legal

Privacy PolicyTerms of ServiceContact Us
Featured on FazierVerified on Verified ToolsFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App ShowFeatured on FazierVerified on Verified ToolsFeatured on WayfindioAntigravity AI - Featured on Startup FameFeatured on Wired BusinessFeatured on Twelve ToolsListed on Turbo0Featured on findly.toolsFeatured on Aura++That App Show

© 2026 Antigravity AI Directory. All rights reserved.

The #1 directory for Google Antigravity IDE

This website is not affiliated with, endorsed by, or associated with Google LLC. "Google" and "Gemini" are trademarks of Google LLC.

Antigravity AI Directory
PromptsMCPBest PracticesUse CasesLearn
Home
MCP Servers
LlamaCloud
database

LlamaCloud MCP Server

LlamaIndex MCP server for data indexing

llamaindexragindexingai

About

## LlamaCloud MCP Server: Enterprise LlamaIndex Platform The **LlamaCloud MCP Server** connects Google Antigravity to LlamaCloud, the managed platform for production LlamaIndex applications. This service handles parsing, indexing, and retrieval at enterprise scale with minimal configuration. ### Why LlamaCloud MCP? LlamaCloud simplifies production RAG: - **Managed Parsing**: Parse any document format - **Auto Indexing**: Automatic chunking and embedding - **Enterprise Scale**: Handle millions of documents - **LlamaParse**: Best-in-class document parsing - **Observability**: Built-in monitoring and analytics ### Key Features #### 1. Document Parsing ```python from llama_cloud import LlamaCloud client = LlamaCloud(api_key="your-key") # Parse complex documents result = client.parse( file_path="financial_report.pdf", parsing_instruction="Extract tables and charts as structured data" ) for page in result.pages: print(page.text) for table in page.tables: print(table.to_dataframe()) ``` #### 2. Managed Index ```python # Create and manage indexes index = client.create_index( name="company-docs", embedding_model="text-embedding-3-small" ) # Add documents index.add_documents([ "policy.pdf", "handbook.docx", "procedures.md" ]) # Query results = index.query("What is the vacation policy?") ``` #### 3. Pipeline Integration ```python from llama_index.indices.managed.llama_cloud import LlamaCloudIndex # Use in LlamaIndex pipelines index = LlamaCloudIndex( name="my-index", api_key="your-key" ) query_engine = index.as_query_engine() response = query_engine.query("Summarize key policies") ``` ### Configuration ```json { "mcpServers": { "llamacloud": { "command": "npx", "args": ["-y", "@anthropic/mcp-llamacloud"], "env": { "LLAMA_CLOUD_API_KEY": "llx-your-key" } } } } ``` ### Use Cases **Enterprise RAG**: Build production RAG systems with managed infrastructure. **Document Processing**: Parse and index complex documents at scale. **Knowledge Management**: Create searchable knowledge bases from any content. The LlamaCloud MCP Server brings managed RAG infrastructure to Antigravity.

Installation

Configuration
{
  "mcpServers": {
    "llamacloud": {
      "mcpServers": {
        "llamacloud": {
          "env": {
            "LLAMA_CLOUD_API_KEY": "YOUR_LLAMACLOUD_API_KEY"
          },
          "args": [
            "-y",
            "@llamaindex/mcp-server"
          ],
          "command": "npx"
        }
      }
    }
  }
}

How to Use

  1. 11. Get API key from LlamaCloud
  2. 22. Index and retrieve private data
  3. 33. Context-aware responses from your data

Related MCP Servers

🧰

Toolhouse MCP

Universal AI tool platform that equips your AI with production-ready capabilities. Execute code, browse the web, manage files, send emails, and more through a unified MCP interface.

🔨

Smithery Registry MCP

The MCP server registry and discovery platform. Browse, search, and install MCP servers from the community. Find the perfect integrations for your AI development workflow.

🔍

MCP Inspector

Official debugging and testing tool for MCP servers. Inspect server capabilities, test tool calls, validate responses, and debug protocol communication in real-time.

← Back to All MCP Servers