MCP Arangodb Async

ArangoDB MCP Server for Python

A production-ready Model Context Protocol (MCP) server exposing advanced ArangoDB operations to AI assistants like Claude Desktop and Augment Code. Features async-first Python architecture, comprehensive graph management, flexible content conversion (JSON, Markdown, YAML, Table), backup/restore functionality, and analytics capabilities.

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Quick Links

📚 Documentation: https://github.com/PCfVW/mcp-arango-async/tree/master/docs

🚀 Quick Start: https://github.com/PCfVW/mcp-arango-async/blob/master/docs/getting-started/quickstart.md

🔧 ArangoDB Setup: https://github.com/PCfVW/mcp-arango-async/blob/master/docs/getting-started/install-arangodb.md

🗄️ Multi-Tenancy Guide: https://github.com/PCfVW/mcp-arango-async/blob/master/docs/user-guide/multi-tenancy-guide.md

⚙️ CLI Reference: https://github.com/PCfVW/mcp-arango-async/blob/master/docs/user-guide/cli-reference.md

📖 Tools Reference: https://github.com/PCfVW/mcp-arango-async/blob/master/docs/user-guide/tools-reference.md

🎯 MCP Design Patterns: https://github.com/PCfVW/mcp-arango-async/blob/master/docs/user-guide/mcp-design-patterns.md

📝 Changelog: https://github.com/PCfVW/mcp-arango-async/blob/master/docs/developer-guide/changelog.md

🐛 Issues: https://github.com/PCfVW/mcp-arango-async/issues

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Features

• ✅ 46 MCP Tools - Complete ArangoDB operations (queries, collections, indexes, graphs)
• ✅ Multi-Tenancy - Work with multiple databases, environment switching, cross-database operations
• ✅ MCP Design Patterns - Progressive discovery, context switching, tool unloading (98.7% token savings)
• ✅ Graph Management - Create, traverse, backup/restore named graphs
• ✅ Content Conversion - JSON, Markdown, YAML, and Table formats
• ✅ Backup/Restore - Collection and graph-level backup with validation
• ✅ Analytics - Query profiling, explain plans, graph statistics
• ✅ Dual Transport - stdio (desktop clients) and HTTP (web/containerized)
• ✅ Docker Support - Run in Docker for isolation and reproducibility
• ✅ Production-Ready - Retry logic, graceful degradation, comprehensive error handling
• ✅ Type-Safe - Pydantic validation for all tool arguments

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Architecture

┌────────────────────┐      ┌─────────────────────┐       ┌──────────────────┐

│ MCP Client │ │ ArangoDB MCP │ │ ArangoDB │ │ (Claude, Augment) │─────▶│ Server (Python) │─────▶│ (Docker) │ │ │ │ • 46 Tools │ │ • Multi-Model │ │ │ │ • Multi-Tenancy │ │ • Graph Engine │ │ │ │ • Graph Mgmt │ │ • AQL Engine │ │ │ │ • MCP Patterns │ │ │ └────────────────────┘ └─────────────────────┘ └──────────────────┘

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Getting Started with ArangoDB

Prerequisites

• Docker and Docker Compose installed
• Python 3.11+ (for mcp-arangodb-async)

Step 1: Install ArangoDB

Create a docker-compose.yml file:

services:

arangodb: image: arangodb:3.11 environment: ARANGO_ROOT_PASSWORD: ${ARANGO_ROOT_PASSWORD:-changeme} ports:

• "8529:8529" volumes:
• arangodb_data:/var/lib/arangodb3
• arangodb_apps:/var/lib/arangodb3-apps healthcheck: test: arangosh --server.username root --server.password "$ARANGO_ROOT_PASSWORD" --javascript.execute-string "require('@arangodb').db._version()" > /dev/null 2>&1 || exit 1 interval: 5s timeout: 2s retries: 30 restart: unless-stopped

volumes: arangodb_data: driver: local arangodb_apps: driver: local

Create a .env file:

# ArangoDB root password

ARANGO_ROOT_PASSWORD=changeme

MCP Server connection settings

ARANGO_URL=http://localhost:8529 ARANGO_DB=mcp_arangodb_test ARANGO_USERNAME=mcp_arangodb_user ARANGO_PASSWORD=mcp_arangodb_password

Start ArangoDB:

docker compose --env-file .env up -d

Step 2: Install mcp-arangodb-async

Install the MCP server package:

pip install mcp-arangodb-async

Alternative: Install with Conda/Mamba/Micromamba

# Create environment and install

conda create -n mcp-arango python=3.11 conda activate mcp-arango pip install mcp-arangodb-async

Or with mamba/micromamba:

mamba create -n mcp-arango python=3.11

mamba activate mcp-arango

pip install mcp-arangodb-async

Alternative: Install with uv

# Create environment and install

uv venv .venv --python 3.11 uv pip install mcp-arangodb-async

Step 3: Create Database and User

Create the database and user for the MCP server:

maa db add mcp_arangodb_test \

--url http://localhost:8529 \ --with-user mcp_arangodb_user \ --env-file .env

Expected output:

The following actions will be performed:

[ADD] Database 'mcp_arangodb_test' [ADD] User 'mcp_arangodb_user' (active: true) [GRANT] Permission rw: mcp_arangodb_user → mcp_arangodb_test

Are you sure you want to proceed? [y/N]: y db add: [ADDED] Database 'mcp_arangodb_test' [ADDED] User 'mcp_arangodb_user' (active: true) [GRANTED] Permission rw: mcp_arangodb_user → mcp_arangodb_test

Verify the database connection:

# Set environment variables

export ARANGO_URL=http://localhost:8529 export ARANGO_DB=mcp_arangodb_test export ARANGO_USERNAME=mcp_arangodb_user export ARANGO_PASSWORD=mcp_arangodb_password

Run health check

maa health

Expected output:

{"status": "healthy", "database_connected": true, "database_info": {"version": "3.11.x", "name": "mcp_arangodb_test"}}

Step 4: Configure MCP Host

Configure your MCP host to use the server. The configuration includes environment variables for database connection. The location of the configuration file depends on your MCP host. For Claude Desktop, the file is located at:

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Configuration:

{

"mcpServers": { "arangodb": { "command": "python", "args": ["-m", "mcp_arangodb_async"], "env": { "ARANGO_URL": "http://localhost:8529", "ARANGO_DB": "mcp_arangodb_test", "ARANGO_USERNAME": "mcp_arangodb_user", "ARANGO_PASSWORD": "mcp_arangodb_password" } } } }

Alternative: Configuration for Conda/Mamba/Micromamba

If you installed with conda/mamba/micromamba, use the run command:

{

"mcpServers": { "arangodb": { "command": "conda", "args": ["run", "-n", "mcp-arango", "maa", "server"], "env": { "ARANGO_URL": "http://localhost:8529", "ARANGO_DB": "mcp_arangodb_test", "ARANGO_USERNAME": "mcp_arangodb_user", "ARANGO_PASSWORD": "mcp_arangodb_password" } } } }

Replace "conda" with "mamba" or "micromamba" if using those tools.

Alternative: Configuration for uv

If you installed with uv, use uv run:

{

"mcpServers": { "arangodb": { "command": "uv", "args": ["run", "--directory", "/path/to/project", "maa", "server"], "env": { "ARANGO_URL": "http://localhost:8529", "ARANGO_DB": "mcp_arangodb_test", "ARANGO_USERNAME": "mcp_arangodb_user", "ARANGO_PASSWORD": "mcp_arangodb_password" } } } }

Replace /path/to/project with the directory containing your .venv folder.

Restart your MCP client after updating the configuration.

Test the connection:

Ask your MCP client: *"List all collections in the ArangoDB database"*

The assistant should successfully connect and list your collections.

Available Tools

The server exposes 46 MCP tools organized into 11 categories:

Multi-Tenancy Tools (4 tools)

• arango_set_focused_database - Set focused database for session
• arango_get_focused_database - Get currently focused database
• arango_list_available_databases - List all configured databases
• arango_get_database_resolution - Show database resolution algorithm

Core Data Operations (7 tools)

• arango_query - Execute AQL queries
• arango_list_collections - List all collections
• arango_insert - Insert documents
• arango_update - Update documents
• arango_remove - Remove documents
• arango_create_collection - Create collections
• arango_backup - Backup collections

Index Management (3 tools)

• arango_list_indexes - List indexes
• arango_create_index - Create indexes
• arango_delete_index - Delete indexes

Query Analysis (3 tools)

• arango_explain_query - Explain query execution plan
• arango_query_builder - Build AQL queries
• arango_query_profile - Profile query performance

Data Validation (4 tools)

• arango_validate_references - Validate document references
• arango_insert_with_validation - Insert with validation
• arango_create_schema - Create JSON schemas
• arango_validate_document - Validate against schema

Bulk Operations (2 tools)

• arango_bulk_insert - Bulk insert documents
• arango_bulk_update - Bulk update documents

Graph Management (7 tools)

• arango_create_graph - Create named graphs
• arango_list_graphs - List all graphs
• arango_add_vertex_collection - Add vertex collections
• arango_add_edge_definition - Add edge definitions
• arango_add_vertex - Add vertices
• arango_add_edge - Add edges
• arango_graph_traversal - Traverse graphs

Graph Traversal (2 tools)

• arango_traverse - Graph traversal
• arango_shortest_path - Find shortest paths

Graph Backup/Restore (5 tools)

• arango_backup_graph - Backup single graph
• arango_restore_graph - Restore single graph
• arango_backup_named_graphs - Backup all named graphs
• arango_validate_graph_integrity - Validate graph integrity
• arango_graph_statistics - Graph statistics

Health & Status (1 tool)

• arango_database_status - Get comprehensive status of all databases

Tool Aliases (2 tools)

• arango_graph_traversal - Alias for arango_traverse
• arango_add_vertex - Alias for arango_insert

MCP Design Pattern Tools (8 tools)

• arango_search_tools - Search for tools by keywords
• arango_list_tools_by_category - List tools by category
• arango_switch_workflow - Switch workflow context
• arango_get_active_workflow - Get active workflow
• `arango_lis