mcp and mcp-server-arangodb

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
54
Established
mcp-server-arangodb
52
Established
Maintenance 13/25
Adoption 4/25
Maturity 24/25
Community 13/25
Maintenance 10/25
Adoption 8/25
Maturity 16/25
Community 18/25
Stars: 6
Forks: 2
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 43
Forks: 13
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No risk flags
No Package No Dependents

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.

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!

Exposes seven MCP tools covering the full CRUD lifecycle—query execution with AQL and bind variables, document insertion/update/removal, plus collection management and JSON backup functionality. Communicates via stdio transport with Claude Desktop, VSCode Copilot, and Cline extension, configured through JSON environment variables for authentication. Designed as a development-only bridge, it deliberately omits production safeguards to keep the agent pattern lightweight while supporting both document and edge collection types.

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