ArangoDB MCP Server
ArangoDB MCP server enabling AI agents to interact with ArangoDB multi-model database — executing AQL queries, managing collections and documents, traversing graphs, and integrating ArangoDB's unified document, key-value, and graph capabilities into agent-driven data workflows that span multiple data models.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
TLS configurable. Username/password with RBAC. Community MCP server. Use read-only scoped user. Self-hosted deployment requires proper network security.
⚡ Reliability
Best When
An agent needs a multi-model database that handles documents, graphs, and key-value in one system — particularly when you need to combine document queries with graph traversals.
Avoid When
You have a well-defined single data model — specialized databases (Neo4j for graphs, PostgreSQL for relational) often outperform multi-model databases in their domain.
Use Cases
- • Running AQL queries against ArangoDB collections from data analysis agents
- • Traversing graph relationships and paths from graph analytics agents
- • Managing documents and key-value data from application data agents
- • Exploring multi-model database schema from data discovery agents
- • Building knowledge graph applications from reasoning agents
- • Combining document and graph queries in unified workflows from integration agents
Not For
- • Teams using pure relational databases (ArangoDB is NoSQL/multi-model)
- • Teams using Neo4j or other dedicated graph databases that need deep graph analytics
- • High-performance OLAP analytics (use Snowflake or BigQuery instead)
Interface
Authentication
ArangoDB standard authentication (username/password via HTTP API). JWT tokens for session-based auth. Connection URL includes host, port, database name, and credentials. Role-based access via ArangoDB user management.
Pricing
ArangoDB Community Edition is open source and free for self-hosting. Managed cloud (Oasis) and enterprise features available at additional cost.
Agent Metadata
Known Gotchas
- ⚠ AQL (ArangoDB Query Language) is unique — not SQL or Cypher, agents must learn AQL
- ⚠ Multi-model queries (mixing document + graph) require understanding of ArangoDB data model
- ⚠ Graph traversal syntax in AQL is different from Neo4j Cypher
- ⚠ Community MCP server with limited testing — may have gaps in feature coverage
- ⚠ Collections must be identified as 'document' or 'edge' type — edge collections for graph
- ⚠ Graph names and collection bindings must be configured in advance
Alternatives
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Scores are editorial opinions as of 2026-03-07.