Mcp Arangodb Async
Let your coding agent run graph queries, AQL, and multi-tenant ArangoDB operations through 46 async MCP tools instead of manual Studio clicks.
Overview
mcp-arangodb-async is a MCP server for the Build phase that provides 46 async tools for ArangoDB graphs, queries, and multi-tenancy from AI agents.
What is this MCP server?
- 46 MCP tools for ArangoDB graphs, queries, collections, and operations
- Async server design suited to non-blocking agent tool loops
- Multi-tenancy support for isolating datasets per tenant or environment
- PyPI package mcp-arangodb-async at version 0.5.4 with stdio transport
- GitHub source at PCfVW/mcp-arangodb-async for inspection and issues
- 46 MCP tools for graphs, queries, and multi-tenancy
- Package version 0.5.4 on PyPI
- Transport: stdio
Community signal: 3 GitHub stars.
What problem does it solve?
Toggling between ArangoDB UI, shell, and your agent breaks flow when you need quick graph or AQL answers during development.
Who is it for?
Builders using ArangoDB graphs or multi-tenant document stores who want agent-assisted schema and query work.
Skip if: Teams on Postgres-only stacks or anyone who cannot safely expose database credentials to an MCP process.
What do I get? / Deliverables
Your agent can query and manage ArangoDB through structured MCP tools while you stay in the editor.
- MCP registration for mcp-arangodb-async
- Agent access to 46 ArangoDB-oriented tools
- Repeatable agent workflows for queries and graph operations
Recommended MCP Servers
Journey fit
How it compares
ArangoDB-specific MCP database bridge, not a generic SQL skill or hosted BaaS.
Common Questions / FAQ
Who is mcp-arangodb-async for?
Developers on ArangoDB who want Claude Code, Cursor, or similar agents to run graph and AQL operations via MCP.
When should I use mcp-arangodb-async?
While building backend features that depend on Arango collections, graphs, or tenant-scoped data.
How do I add mcp-arangodb-async to my agent?
Install the PyPI package mcp-arangodb-async, configure stdio and Arango connection env vars per the repo, then register the server in your MCP config.