Connect AI assistants to Rocket Universe/UniData MultiValue databases via MCP.
Connect AI assistants to Rocket Universe/UniData MultiValue databases via MCP. Exposed over MCP by the u2 mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
u2-mcp is an MCP server that lets AI assistants like Claude query and interact with Rocket Universe and UniData MultiValue databases. Ask questions in plain English and get real answers from your data.
Everything the assistant can do here goes through one of these:
Prerequisites — The Prerequisites tool exposed by this serverConfiguration — The Configuration tool exposed by this serverReference — The Reference tool exposed by this serverYou will need 8 environment variables: U2_HOST, U2_USER, U2_PASSWORD, U2_ACCOUNT, U2_KNOWLEDGE_PATH, U2_SERVICE, U2_HTTP_HOST, U2_HTTP_PORT. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
uopy package (installed automatically as a dependency)u2-mcp on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Plenty of AI and media services 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. U2's toolset — Prerequisites, Configuration, Reference — is a fair guide to whether it matches your workflow. It is maintained by bpamiri; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
| Configuration | The Configuration tool exposed by this server. |
| Reference | The Reference tool exposed by this server. |
{
"mcpServers": {
"u2": {
"command": "uvx",
"args": ["u2-mcp"],
"env": {
"U2_HOST": "your-value",
"U2_USER": "your-value",
"U2_PASSWORD": "your-value",
"U2_ACCOUNT": "your-value",
"U2_KNOWLEDGE_PATH": "your-value",
"U2_SERVICE": "your-value",
"U2_HTTP_HOST": "your-value",
"U2_HTTP_PORT": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
uopy package (installed automatically as a dependency)| Variable | Description | Required |
|---|---|---|
| U2_HOST | Endpoint or connection string the server talks to. | Optional |
| U2_USER | Configuration value read at startup. | Optional |
| U2_PASSWORD | Configuration value read at startup. | Optional |
| U2_ACCOUNT | Configuration value read at startup. | Optional |
| U2_KNOWLEDGE_PATH | Filesystem location the server is allowed to use. | Optional |
| U2_SERVICE | Configuration value read at startup. | Optional |
| U2_HTTP_HOST | Endpoint or connection string the server talks to. | Optional |
| U2_HTTP_PORT | Configuration value read at startup. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.