MCP Server for ArangoDB
Related Servers
Alternatives to MCP Server for ArangoDB
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceA TypeScript-based Model Context Protocol server that enables AI assistants to perform secure database operations on PostgreSQL databases through structured tool interfaces.818 npmMIT
- FlicenseNot gradedqualityDmaintenanceA Model Context Protocol server for ArangoDB, providing full database access through MCP's standardized tool interface.-
- FlicenseAqualityDmaintenanceA TypeScript-based MCP server that enables AI assistants to interact with CouchDB databases through a simple interface, providing tools for creating, reading, and querying databases and documents.55-
- AlicenseNot gradedqualityCmaintenanceA TypeScript implementation of a Model Context Protocol server that enables language models to securely query PostgreSQL databases, including those behind SSH bastion tunnels.21 npm1MIT
- -licenseNot gradedqualityNot gradedmaintenanceA TypeScript implementation of a Model Context Protocol server that uses Server-Sent Events for real-time communication and Bearer Token authentication to enable secure interaction with LLM clients like Claude Desktop.-
- AlicenseBqualityDmaintenanceA TypeScript implementation of the Model Context Protocol server that enables searching arXiv papers and extracting paper information through standardized client-server communication.210 npmMIT
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose targeting specific operations in ArangoDB: backup, collection creation, document insertion, listing collections, query execution, document removal, and document update. There is no overlap or ambiguity between these functions.
All tools follow a consistent 'arango_verb_noun' pattern with snake_case, such as arango_backup, arango_create_collection, and arango_query. This predictable naming makes it easy to understand and navigate the tool set.
With 7 tools, this server is well-scoped for database operations, covering essential CRUD actions, querying, and backup. Each tool earns its place without feeling too sparse or bloated.
The tool set provides strong coverage for core database operations, including CRUD for documents, collection management, and querying. A minor gap is the lack of tools for more advanced features like index management or user administration, but agents can handle basic workflows effectively.