IndexFoundry

v1.0.0Data Science & MLstable

Creates deterministic, auditable vector databases from any content source with deployable RAG applications. Supports multiple embedding providers and vector databases with fine-grained pipeline control or project-based workflows.

indexfoundry-mcpmcpai-integration
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What is IndexFoundry?

IndexFoundry is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to creates deterministic, auditable vector databases from any content source with deployable rag applications. supports multiple embedding providers and vector databases with fine-grained pipeline contro...

Creates deterministic, auditable vector databases from any content source with deployable RAG applications. Supports multiple embedding providers and vector databases with fine-grained pipeline control or project-based workflows.

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Creates deterministic, auditable vector databases from any c

Use Cases

Build deterministic vector databases from any content source.
Deploy RAG applications with fine-grained pipeline control.
Mnehmos

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx indexfoundry-mcp

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about IndexFoundry

What is IndexFoundry?

IndexFoundry is a Model Context Protocol (MCP) server that creates deterministic, auditable vector databases from any content source with deployable rag applications. supports multiple embedding providers and vector databases with fine-grained pipeline control or project-based workflows. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install IndexFoundry?

Follow the installation instructions on the IndexFoundry GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with IndexFoundry?

IndexFoundry works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is IndexFoundry free to use?

Yes, IndexFoundry is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "indexfoundry-mcp": { "command": "npx", "args": ["-y", "indexfoundry-mcp"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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