Query your org's data in natural language — read-only MCP access to SQL, NoSQL, files & warehouses.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-dataassistio-dataassist-io": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
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Connect your databases, files, and warehouses to Claude, ChatGPT, and any MCP-compatible client — and let your team query them in plain language, safely and read-only.
No automated test available for this server. Check the GitHub README for setup instructions.
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Connect your databases, files, and warehouses to Claude, ChatGPT, and any MCP-compatible client — and let your team query them in plain language, safely and read-only.
DataAssist-IO is a hosted, multi-tenant Model Context Protocol server. Your organization signs up, connects its data sources, and your users query that data through natural language in their favorite LLM client. No SQL knowledge required for end users; no data copied or exposed beyond what you explicitly grant.
This is a remote MCP server — there is nothing to install or run yourself. You connect to it over an authenticated URL.
| Endpoint | https://app.dataassist.io/mcp |
| Transport | Streamable HTTP |
| Auth | OAuth 2.1 (Dynamic Client Registration) |
You'll need a DataAssist-IO account and at least one connected data source. Sign up at dataassist.io →
In Claude (Desktop or web), add a custom connector pointing at:
https://app.dataassist.io/mcp
Claude will walk you through the OAuth sign-in. After you authorize, your org's tables appear as queryable tools.
DataAssist-IO is available as a published ChatGPT app — no manual setup required:
Open the DataAssist-IO app in ChatGPT →
Launch it, sign in when prompted, and start querying your data.
Point any client that supports the Streamable HTTP transport with OAuth at the endpoint above. The server implements OAuth discovery (/.well-known/oauth-protected-resource), so compliant clients negotiate authentication automatically.
Once connected, the assistant can use these read-only tools against the tables your admin has exposed to you:
| Tool | Purpose |
|---|---|
list_tables | Discover the tables available to you |
describe_table | Inspect a table's columns and types |
get_table_metadata | Read curated descriptions, tags, and per-column docs |
get_sample_data | Preview a handful of rows |
query_data | Run a read-only SQL SELECT (MySQL, Postgres, BigQuery, Redshift) |
query_collection | Run a read-only aggregation pipeline (MongoDB, AWS DocumentDB) |
Every tool is read-only by construction — queries are validated as SELECT-only and run against read-only database sessions. Nothing your assistant does can modify or delete your data.
File-based sources are imported and stored as Apache Iceberg tables on your behalf; live databases and warehouses are queried in place — your data is never copied.