Provides tools for interacting with ArangoDB, enabling AI agents to manage collections, execute AQL queries, perform graph operations, backup/restore data, and analyze query performance.
A production-ready MCP server that exposes 46 tools for ArangoDB operations, including queries, graph management, multi-tenancy, and backup/restore, enabling AI assistants to interact with ArangoDB databases.
46
3
Apache 2.0
Why this server?
Provides database interaction capabilities with ArangoDB, implementing core operations like executing AQL queries, inserting/updating/removing documents, creating and listing collections, and backing up data to JSON files.
A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.
7
52
47
MIT
Why this server?
Provides a schema-driven tool surface for ArangoDB, enabling AI agents to interact with document, graph, and search operations via a small MCP tool set with catalog search, description, and execution flows, as well as curated templates and atlas projections.
Turns ArangoDB into a schema-driven MCP server for agents, enabling search-describe-exec workflows for database, graph, and knowledge operations without oversizing the tool list.
10
MIT
Why this server?
Provides a driver for ArangoDB, a multi-model database, enabling querying and schema management (stub driver, extensible).
Enables AI agents to interact with over 50 SQL and NoSQL databases through MCP tools for querying, schema inspection, and table management.
5
1
MIT
Why this server?
Provides tools for querying ArangoDB databases, including read-only and read-write operations, listing databases and collections, and reading documents by database name, collection, and ID.
An implementation of the Model Context Protocol that enables interaction with ArangoDB databases, allowing users to perform queries, list databases and collections through natural language.
8
4
MIT
Why this server?
Multi-model graph database provider for storing and querying knowledge graphs.
Enterprise-grade AI memory infrastructure with multi-agent support, providing 122 MCP tools for memory management, agent coordination, and cross-language SDKs.
Apache 2.0
Why this server?
Provides tools for managing ArangoDB databases, including collections, documents, queries (including AQL), and graph operations.