A universal Model Context Protocol (MCP) server framework that makes it easy to create and deploy custom tool servers for AI assistants like Claude.
Connect Berry MCP to Claude, Cursor or any other MCP client and it stops being a tab you switch to. A universal Model Context Protocol (MCP) server framework that makes it easy to create and deploy custom tool servers for AI assistants like Claude. The berry mcp mcp server is what makes that connection.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
Installation — The Installation tool exposed by this serverSetup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Configuration is passed through the environment: BERRY_MCP_TOOLS_PATH, BERRY_MCP_SERVER_NAME, BERRY_MCP_LOG_LEVEL. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of cloud and infrastructure servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Berry MCP's toolset — Installation — is a fair guide to whether it matches your workflow. It is maintained by richinex; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Berry MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Installation | The Installation tool exposed by this server. |
| Variable | Description | Required |
|---|---|---|
| BERRY_MCP_TOOLS_PATH | Filesystem location the server is allowed to use. | Optional |
| BERRY_MCP_SERVER_NAME | Configuration value read at startup. | Optional |
| BERRY_MCP_LOG_LEVEL | Configuration value read at startup. | Optional |
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