The PageIndex MCP provides a reasoning-based RAG system that retrieves information through multi-step reasoning and tree search. It connects to PageIndex's API to offer human-like information retrieval. Developers use it to build AI agents that can perform complex queries and retrieve precise answers without relying on vector embeddings.
The PageIndex MCP provides a reasoning-based RAG system that retrieves information through multi-step reasoning and tree search. It connects to PageIndex's API to offer human-like information retrieval. Developers use it to build AI agents that can perform complex queries and retrieve precise answers without relying on vector embeddings.
npx -y @pageindex/mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"vectifyai-pageindex-mcp-github": {
"command": "npx",
"args": [
"-y",
"npx -y @pageindex/mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from pageindex mcp?"
No configuration required. This server works out of the box.
"What resources are available in pageindex mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in pageindex mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in pageindex mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.