Enables Large Language Models to directly query and interact with Azure Cosmos DB data.
Enables Large Language Models to directly query and interact with Azure Cosmos DB data. The cosmos db mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 1 defined tool rather than through you.
This is a server that lets your LLMs (like Claude) talk directly to your Azure Cosmos DB data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Everything the assistant can do here goes through one of these:
Prerequisites — The Prerequisites tool exposed by this serverYou will need 2 environment variables: COSMOSDB_URI, COSMOSDB_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the cloud and infrastructure group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Cosmos DB's toolset — Prerequisites — is a fair guide to whether it matches your workflow. It is maintained by robinong79; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Variable | Description | Required |
|---|---|---|
| COSMOSDB_URI | Configuration value read at startup. | Optional |
| COSMOSDB_KEY | Credential the server authenticates with. | Yes |
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