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MCP server · Developer Tools

Conduit AI Intelligence Hub

Conduit automates the discovery and configuration of MCP servers while transforming your personal artifacts into a precise knowledge layer, delivering AI-ready context without the manual setup or document bloat.

53Fair

Scored 1 hours ago · breakdown

About Conduit AI Intelligence Hub

Conduit AI Intelligence Hub is an MCP server published by amlandas in the Developer Tools category: conduit automates the discovery and configuration of MCP servers while transforming your personal artifacts into a precise knowledge layer, delivering AI-ready context without the manual setup or document bloat.

The repository has 1 stars and 0 forks, with the last commit 10 hours ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/amlandas/Conduit-AI-Intelligence-Hub

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (6)

kag_queryQuery knowledge graph for entities

Parameters not published.

kb_get_documentRetrieve full document content

Parameters not published.

kb_list_sourcesList indexed document sources

Parameters not published.

kb_searchHybrid search (semantic + keyword)

Parameters not published.

kb_search_with_contextSearch with merged results and citations

Parameters not published.

kb_statsKnowledge base statistics

Parameters not published.

Ask AI

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Ask AI about Conduit AI Intelligence Hub

Powered by Claude · Grounded in docs

I know everything about Conduit AI Intelligence Hub. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 1 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • !No dynamic code executionSource scan found eval or shell execution. Review how tool inputs reach it before granting credentials.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v0.1.430.1.43 · 7 Jan 2026
v1.0.42Conduit v1.0.42 - Private Knowledge Base for AI Tools · 7 Jan 2026Conduit v1.0 Release Make Your AI Tools Smarter with a Private Knowledge Base Your Documents. Your AI. Your Control. What is Conduit? Conduit transforms your local documents into a private knowledge base that makes AI tools significantly…
v0.1.42Conduit Desktop v0.1.42 · 7 Jan 2026What's New in v0.1.42 Bug Fixes KB Sync Silent Fallback Fix (#41): Added clear warnings and exit code 2 when semantic indexing fails during sync New `--rebuild-vectors` flag: Force regeneration of vector embeddings to recover from Qdrant…
v0.1.41Conduit Desktop v0.1.41 - KB CLI Compliance · 7 Jan 2026What's New This release ensures the Knowledge Base tab fully adheres to the "GUI is a thin wrapper over CLI" design principle. KB Tab Fixes (PR #40) 1. KAGPanel Error Handling - Shows actual errors instead of mock data when KAG search…

README

Conduit

Make Your AI Tools Smarter with a Private Knowledge Base

Your Documents. Your AI. Your Control.

Latest Release CLI Version GitHub Discussions


Conduit transforms your local documents into a private knowledge base that makes AI tools like Claude Desktop, ChatGPT, Perplexity, and AI coding assistants like Claude Code, Cursor, Copilot, Kiro, and Gemini CLI significantly smarter.

Everything stays local. No documents or artifacts ever leave your machine.

Why Conduit?

AI tools are powerful, but they struggle with:

  • Context bloat: Feeding too much information overwhelms the AI
  • Missing context: Not enough information leads to hallucinations
  • Privacy concerns: Sensitive documents shouldn't leave your machine

Conduit solves this by:

  • Intelligent retrieval: RAG (Retrieval-Augmented Generation) and KAG (Knowledge-Augmented Generation) find exactly the right context
  • Local-first: All processing happens on your machine - documents never leave
  • MCP integration: Works with any AI tool that supports Model Context Protocol

Quick Start (5 minutes)

Install via CLI (Recommended)

curl -fsSL https://raw.githubusercontent.com/amlandas/Conduit-AI-Intelligence-Hub/main/scripts/install.sh | bash

The installer handles everything:

  • Installs Conduit CLI and daemon
  • Sets up container runtime (Podman/Docker)
  • Installs AI models via Ollama
  • Configures vector database (Qdrant) and knowledge graph (FalkorDB)
  • Auto-configures MCP server in Claude Code

Verify Installation

# Restart terminal, then:
conduit doctor

Add Your Documents

# Add a folder to your knowledge base
conduit kb add ~/Documents/my-project --name "My Project"

# Sync documents (indexes for search)
conduit kb sync

# Test search
conduit kb search "how does authentication work"

That's it! Your AI tools now have access to your private knowledge base.


How It Works

┌─────────────────────────────────────────────────────────────────────┐
│                        Your Local Machine                           │
├─────────────────────────────────────────────────────────────────────┤
│                                                                     │
│   ┌──────────────┐         ┌──────────────────────────────────┐    │
│   │ Your Docs    │ ──────► │        Conduit                   │    │
│   │ (PDF, MD,    │         │  ┌────────────────────────────┐  │    │
│   │  Code, etc.) │         │  │ RAG: Semantic + Keyword    │  │    │
│   └──────────────┘         │  │ KAG: Knowledge Graph       │  │    │
│                            │  └────────────────────────────┘  │    │
│                            └───────────────┬──────────────────┘    │
│                                            │                        │
│                                            │ MCP Protocol           │
│                                            ▼                        │
│   ┌────────────────────────────────────────────────────────────┐   │
│   │              AI Tools (via MCP Server)                     │   │
│   │  Claude Code │ Cursor │ Claude Desktop │ ChatGPT │ etc.   │   │
│   └────────────────────────────────────────────────────────────┘   │
│                                                                     │
└─────────────────────────────────────────────────────────────────────┘

Key Technologies

Component Purpose
RAG (Retrieval-Augmented Generation) Finds semantically similar documents using vector search
KAG (Knowledge-Augmented Generation) Builds a knowledge graph for multi-hop reasoning
MCP (Model Context Protocol) Standard protocol for AI tools to access external data
Qdrant Vector database for semantic search (runs locally in container)
FalkorDB Graph database for knowledge graphs (runs locally in container)
Ollama Local AI models for embeddings and entity extraction

CLI Reference

Conduit is a CLI-first tool. For the complete command reference, see CLI Command Index.

Essential Commands

# Setup & Health
conduit doctor              # Run diagnostics
conduit status              # Show system status

# Knowledge Base
conduit kb add <path>       # Add document folder
conduit kb sync             # Index documents
conduit kb search <query>   # Search your knowledge base
conduit kb list             # List all sources
conduit kb stats            # Show statistics

# MCP Server
conduit mcp status          # Verify MCP server is configured
conduit mcp configure       # Configure MCP for Claude Code

Search Modes

# Hybrid search (default) - combines keyword + semantic
conduit kb search "authentication flow"

# Semantic search - finds by meaning
conduit kb search "securing user login" --semantic

# Keyword search - exact matches
conduit kb search "OAuth2 client_id" --fts5

Knowledge Graph Queries

# Extract entities from your documents
conduit kb kag-sync

# Query relationships
conduit kb kag-query "Kubernetes"
conduit kb kag-query "authentication" --entities OAuth,JWT --max-hops 2

MCP Server Integration

Conduit automatically creates an MCP server for your knowledge base and configures it for Claude Code.

For Claude Code (Auto-configured)

After running conduit kb sync, your knowledge base is automatically available in Claude Code.

For Other AI Tools (Manual Configuration)

Add to your AI tool's MCP configuration:

{
  "mcpServers": {
    "conduit-kb": {
      "command": "conduit",
      "args": ["mcp", "kb"]
    }
  }
}

Configuration locations:

  • Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Cursor: .cursor/mcp.json
  • VS Code: .vscode/settings.json (under mcp.servers)

Available MCP Tools

Tool Description
kb_search Hybrid search (semantic + keyword)
kb_search_with_context Search with merged results and citations
kb_list_sources List indexed document sources
kb_get_document Retrieve full document content
kb_stats Knowledge base statistics
kag_query Query knowledge graph for entities

Installation Options

CLI Installation (Recommended)

# Standard install
curl -fsSL https://raw.githubusercontent.com/amlandas/Conduit-AI-Intelligence-Hub/main/scripts/install.sh | bash

# Custom options
curl -fsSL ... | bash -s -- --install-dir ~/.local/bin  # Custom location
curl -fsSL ... | bash -s -- --skip-model                # Skip AI model download
curl -fsSL ... | bash -s -- --no-kag                    # Skip knowledge graph setup
curl -fsSL ... | bash -s -- --verbose                   # Verbose output

Manual Installation

git clone https://github.com/amlandas/Conduit-AI-Intelligence-Hub.git
cd Conduit-AI-Intelligence-Hub
make build
sudo cp bin/conduit bin/conduit-daemon /usr/local/bin/
conduit setup

Desktop App (Discontinued — Do Not Install)

⚠️ Desktop App development is halted as of July 2026. The published DMGs are unsigned, run an end-of-life Electron version, and contain a known security vulnerability (SEC-002). Do not install them. If you have the app installed, remove it: rm -rf /Applications/Conduit.app

The CLI is the supported way to use Conduit and provides all functionality.


Supported Document Formats

Category Formats
Documentation .md, .txt, .rst
Code .go, .py, .js, .ts, .java, .rs, .rb, .c, .cpp, .h, .cs, .swift, .kt
Scripts .sh, .bash, .zsh, .ps1, .bat
Config .json, .yaml, .yml, .xml, .toml, .ini
Data .csv, .tsv
Documents .pdf, .doc, .docx, .odt, .rtf

Uninstalling

The recommended way to uninstall is via the CLI:

# Preview what will be removed
conduit uninstall --dry-run --all

# Uninstall (keeps your data)
conduit uninstall --keep-data

# Full uninstall (removes everything)
conduit uninstall --all

Backup method (if CLI is unavailable):

curl -fsSL https://raw.githubusercontent.com/amlandas/Conduit-AI-Intelligence-Hub/main/scripts/uninstall.sh | bash

Troubleshooting

Quick Diagnostics

conduit doctor    # Comprehensive health check
conduit status    # System status overview

Common Issues

Semantic search shows 0 vectors:

conduit qdrant status              # Check Qdrant
conduit kb sync --rebuild-vectors  # Rebuild vectors

MCP server not working:

conduit mcp status     # Check MCP configuration
conduit mcp configure  # Reconfigure

KAG extraction slow on first run: The extraction model (~4GB) loads on first use. Enable preloading in ~/.conduit/conduit.yaml:

kb:
  kag:
    preload_model: true

For more troubleshooting, see Known Issues.


Documentation

Document Description
Why Not Just a Folder? Honest comparison vs. built-in agent capabilities — read this first
CLI Command Index Complete CLI reference
Quick Start Guide Step-by-step getting started
User Guide Detailed usage instructions
Admin Guide System administration
Known Issues Issues and workarounds
MCP Server Design MCP implementation details

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.


Requirements

The installer handles these automatically:

Requirement Version Notes
macOS or Linux - Windows support planned
Podman or Docker 4.0+ / 20.10+ Container runtime
Ollama Latest Local AI models

Privacy & Security

  • 100% Local: All documents and processing stay on your machine
  • No Telemetry: Conduit doesn't phone home
  • Sandboxed Containers: Qdrant and FalkorDB run in isolated containers
  • Read-Only MCP: AI tools can only read, not modify your knowledge base

License

MIT License - see LICENSE for details.


Acknowledgments

Built with:


README fetched from the repository 1 hours ago. The original is authoritative.

Questions

About Conduit AI Intelligence Hub

How do I install Conduit AI Intelligence Hub?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Conduit AI Intelligence Hub safe to use with an AI agent?

Its trust score is 53 out of 100 (fair). It passes 4 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Conduit AI Intelligence Hub still maintained?

Yes — the last commit was 10 hours ago. The repository has 1 stars and 0 forks and 34 open issues.