AegnticMCP

Name: AegnticMCP
Author: aegntic

@aegntic

Repository

About AegnticMCP

AegnticMCP automates the creation and management of MCP servers, ensuring they are stable, adaptable, and intelligent.

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Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "aegnticMCP": {
      "command": "docker",
      "args": [
        "run",
        "-d",
        "--name",
        "qdrant",
        "-p",
        "6333:6333",
        "-v",
        "$(pwd)/data/qdrant:/qdrant/storage",
        "qdrant/qdrant:latest"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AegnticMCP?

AegnticMCP is a Retrieval-Augmented Generation (RAG) system that transforms Obsidian vaults into AI-paired cognitive workflow engines with advanced Graphiti knowledge graph integration. It is built for developers and knowledge workers who want to query their Obsidian notes using Claude Code.

How to use AegnticMCP?

Install via pip (pip install obsidian-elite-rag-mcp) or from source. Run obsidian-elite-rag-cli setup and obsidian-elite-rag-cli start-databases to initialize databases, then ingest your vault with obsidian-elite-rag-cli ingest /path/to/vault. Start the MCP server with obsidian-elite-rag-cli server and configure Claude Code by adding the server entry to ~/.config/claude-code/config.json.

Key features of AegnticMCP

Multi-layer RAG architecture with six retrieval layers
Advanced Graphiti knowledge graph with 27+ entity and 40+ relationship types
Dual-graph architecture: Neo4j (structured) + NetworkX (unstructured backup)
Full MCP server implementation compatible with Claude Code
CLI tools for setup, ingestion, querying, and graph search
Real-time system status monitoring and database connection checks

Use cases of AegnticMCP

Ingest an entire Obsidian vault and query it using Claude Code
Search for entities and relationships in your knowledge graph
Retrieve context-rich answers combining semantic, graph, and temporal signals
Automate knowledge tasks like linking notes or extracting entities

FAQ from AegnticMCP

What are the dependencies for AegnticMCP?

Python 3.9+, Docker & Docker Compose, an OpenAI API key, and optionally an Obsidian vault. Neo4j and Qdrant databases are handled by the setup scripts.

How do I install AegnticMCP?

Install from PyPI with pip install obsidian-elite-rag-mcp or clone the repository and run pip install -e . in the obsidian-elite-rag directory.

How do I connect AegnticMCP with Claude Code?

Start the MCP server using obsidian-elite-rag-cli server, then add a server entry to ~/.config/claude-code/config.json with the command and environment variable OPENAI_API_KEY.

What query types does AegnticMCP support?

The CLI supports general, technical, and research queries. The MCP tools provide query_rag, search_knowledge_graph, get_entity_context, get_related_entities, and more.

What are the performance characteristics of AegnticMCP?

Retrieval speed under 100ms for context-rich queries, knowledge coverage over 95% recall on domain-specific queries, entity recognition accuracy above 90%, and graph traversal under 50ms up to depth 4.