omnifabric-mcp
MCP server providing SQL access to a CloudSigma OmniFabric database (MatrixOne-compatible, MySQL wire protocol). It exposes a single tool, run_query, that executes any SQL statement and returns results as JSON.
README
omnifabric-mcp
MCP server giving an LLM SQL access to a CloudSigma OmniFabric database (MatrixOne-compatible, MySQL wire protocol).
What It Does
Exposes one MCP tool, run_query, that runs any SQL statement against your OmniFabric/MatrixOne instance over the standard MySQL wire protocol (via mysql2) and returns the rows as JSON. No schema-specific tooling, no query rewriting — whatever SQL you (or the LLM) send is what runs.
Prerequisites
- Node.js 20.6+ (uses the native
--env-fileflag for local testing) - A running OmniFabric instance and its connection details: host, port (default 6001), account UUID, username, role, password
- An MCP-compatible client (Claude Code, Claude Desktop, etc.)
Why a custom server instead of an existing one
- Memoria (
matrixorigin/Memoria) is a semantic-memory product built on MatrixOne (store/retrieve/branch/merge memories), not a raw SQL passthrough tool — doesn't fit. - mcp-server-mysql (generic community MySQL MCP server) looked like a fit but has two bugs for this use case: it hard-rejects any statement its SQL parser doesn't classify as
SELECT(soSHOW DATABASES— the exact acceptance-test query — gets rejected), and it wraps every query inSET SESSION TRANSACTION READ ONLY, which isn't confirmed to work on MatrixOne/OmniFabric. - So: this repo, built directly on
mysql2+@modelcontextprotocol/sdk(both do the heavy lifting — no custom wire protocol). One tool,run_query, passes SQL straight through.
Safety model
There is no app-level statement filtering (that's what broke the alternative above). Instead: connect with a read-only DB role. Ask CloudSigma/whoever provisioned the instance for a role scoped to SELECT only, or check whether OmniFabric supports creating one beyond accountadmin. Only point this server at a write-capable role if you actually need DDL/write access.
Quick install via AI agent
Give this prompt to Claude Code (or any AI coding agent with shell access):
Install the OmniFabric MCP server. Clone https://github.com/Momosasu/omnifabric-mcp.git, run
npm install, copy.env.exampleto.envand ask me for my OmniFabric credentials (host, account UUID, username, role, password) to fill it in, add it to my MCP config at~/.claude/.mcp.jsonwithargsset to["--env-file=<absolute path to .env>", "<absolute path to index.js>"], and verify the connection by callingrun_querywithSHOW DATABASES.
Quick Start
1. Install
git clone https://github.com/Momosasu/omnifabric-mcp.git
cd omnifabric-mcp
npm install
2. Configure credentials
cp .env.example .env
Fill in .env with the credentials from your OmniFabric provisioning (CloudSigma console or mo_ctl deploy output):
OMNIFABRIC_HOST=your-instance.omni.example.cloudsigma.com
OMNIFABRIC_PORT=6001
OMNIFABRIC_ACCOUNT=your-account-uuid
OMNIFABRIC_USER=your-username
OMNIFABRIC_ROLE=your-role
OMNIFABRIC_PASSWORD=your-password
Optional: sanity-check the login works before touching MCP at all:
mysql -h <OMNIFABRIC_HOST> -P 6001 -u <ACCOUNT>:<USER>:<ROLE> -p
Then validate your .env assembles into a well-formed config (no live DB connection made):
npm test
3. Add to Claude Code
Add to your MCP config (~/.claude/.mcp.json or project .mcp.json), pointing at the .env you just filled in — no need to re-enter credentials here:
{
"mcpServers": {
"omnifabric": {
"command": "node",
"args": ["--env-file=/path/to/omnifabric-mcp/.env", "/path/to/omnifabric-mcp/index.js"]
}
}
}
Replace /path/to/omnifabric-mcp with your actual path.
4. Verify
Ask Claude: "Use run_query to run SHOW DATABASES"
Tools
run_query(sql)— runs any SQL statement, returns rows as JSON.
That's it. No create_snapshot/restore_snapshot/UDF tools yet — the PRD explicitly says not to add those speculatively. Add a wrapper tool once there's a concrete use case for a specific OmniFabric SQL-Reference statement raw passthrough doesn't cover well.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.