PageIndex MCP Server
by vectifyaiio.github.VectifyAI/pageindex-mcpv1.8.2
Reasoning-based RAG system for chatting with long PDFs. Supports local and online files.
context tax
queued
security
queued
cold start
queued
freshness
Maintained3mo ago
Install PageIndex MCP server
Install in Claude Code
claude mcp add pageindex -- npx -y @pageindex/mcpInstall in Cursor
{
"mcpServers": {
"pageindex": {
"command": "npx",
"args": [
"-y",
"@pageindex/mcp"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"pageindex": {
"command": "npx",
"args": [
"-y",
"@pageindex/mcp"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"pageindex": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@pageindex/mcp"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"pageindex": {
"command": "npx",
"args": [
"-y",
"@pageindex/mcp"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Freshness
Maintained — last maintenance signal 3mo ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-07-25 · 3mo ago · GitHub
Latest release
2026-07-25 · 3mo ago · GitHub · v1.8.2
Package published
no data · npm/PyPI
Registry entry updated
2026-07-25 · 3mo ago · official registry · v1.8.2
FAQ
›How do I install the PageIndex MCP server in Claude Code?
Run: claude mcp add pageindex -- npx -y @pageindex/mcp. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does PageIndex require an API key?
No required environment variables are declared in its published metadata.
›Can I use PageIndex as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is PageIndex in the official MCP registry?
Yes, as io.github.VectifyAI/pageindex-mcp.
Alternatives to PageIndex
Other memory MCP servers.
MemoryActiveKnowledge graph-based persistent memory for maintaining context.
HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.
Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.
CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.
HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.
Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.