mcp-server-arangodb and mcp

These appear to be **ecosystem siblings** within the MongoDB ecosystem, with the ArangoDB server providing general database interaction and the Florentine.ai server offering specialized natural language processing to generate MongoDB aggregations, implying they could serve different layers or purposes within a larger application utilizing MongoDB.

mcp-server-arangodb
52
Established
mcp
51
Established
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 18/25
Maintenance 10/25
Adoption 4/25
Maturity 24/25
Community 13/25
Stars: 43
Forks: 13
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 6
Forks: 2
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No risk flags

About mcp-server-arangodb

ravenwits/mcp-server-arangodb

This is a TypeScript-based MCP server that provides database interaction capabilities through ArangoDB. It implements core database operations and allows seamless integration with ArangoDB through MCP tools. You can use it wih Claude app and also extension for VSCode that works with mcp like Cline!

This tool helps developers streamline their interactions with an ArangoDB database using natural language commands or through integrated development environments like VSCode Copilot or Claude. It takes plain English prompts or structured commands as input, allowing developers to query, insert, update, remove, and manage database collections. Software developers and database administrators who work with ArangoDB will find this useful for accelerating daily database operations.

database-management developer-tools no-code-database-ops arangodb data-administration

About mcp

florentine-ai/mcp

MCP server for Florentine.ai - Natural language to MongoDB aggregations

Implements an MCP server bridging Claude Desktop and other AI agents to MongoDB/MySQL through natural language, handling query translation, schema exploration, and semantic vector search with built-in multi-tenant data isolation. Supports both static configuration (for existing MCP clients) and dynamic modes, with bring-your-own-LLM-key architecture compatible with OpenAI, Google, Anthropic, and Deepseek providers.

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