Dataassist IO

io.github.DataAssistIO由 GitHub 账号 DataAssistIO 发布v1.0.0更新于 Oct 24, 2026

Query your org's data in natural language — read-only MCP access to SQL, NoSQL, files & warehouses.

已验证Streamable HTTP可网页运行数据库文件与存储数据与分析

概览

AI 生成的概览

托管式只读 MCP 服务器，让助手用自然语言查询组织内的数据库、数据仓库和文件。

可以做什么
  • 发现并查看已开放的表、字段、类型和整理好的元数据
  • 在编写查询前预览少量样例行
  • 对 MySQL、PostgreSQL、BigQuery 和 Redshift 执行只读 SELECT 查询
  • 对 MongoDB 和 AWS DocumentDB 执行只读聚合管道
  • 查询以 Iceberg 表形式导入的 CSV、Excel 和 SFTP 送达文件
适用场景
适合希望非技术同事在 Claude、ChatGPT 等 MCP 客户端里直接用自然语言提问公司数据的团队，由管理员控制表级授权并以只读方式访问，无需分发数据库凭据。
运行要求
远程 Streamable HTTP 端点，无需自行安装。需要 DataAssist-IO 账号与组织、至少一个已连接的数据源，以及每位用户通过 OAuth 2.1（动态客户端注册）登录授权。
安装前请注意
这是托管的多租户服务，查询结果和工具调用都会经过 DataAssist-IO 的基础设施；README 提到审计日志可选记录请求与响应内容。上传的文件会被导入并以其名义存为 Iceberg 表。仅能访问管理员向所在团队开放的表。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Dataassist IO，将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储，绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.DataAssistIO%2FDataassist-IO/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "dataassist-io": {
      "type": "http",
      "url": "https://app.dataassist.io/mcp"
    }
  }
}

README

DataAssist-IO MCP Server

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.

[Website] [MCP Registry] [Endpoint] [ChatGPT App]

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.

Connection

Endpointhttps://app.dataassist.io/mcp
TransportStreamable HTTP
AuthOAuth 2.1 (Dynamic Client Registration)

You'll need a DataAssist-IO account and at least one connected data source. Sign up at dataassist.io →

Connect from Claude

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.

Connect from ChatGPT

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.

Connect from any MCP client

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.

What you can do

Once connected, the assistant can use these read-only tools against the tables your admin has exposed to you:

ToolPurpose
list_tablesDiscover the tables available to you
describe_tableInspect a table's columns and types
get_table_metadataRead curated descriptions, tags, and per-column docs
get_sample_dataPreview a handful of rows
query_dataRun a read-only SQL SELECT (MySQL, Postgres, BigQuery, Redshift)
query_collectionRun 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.

Supported data sources

  • Files: CSV, Excel, SFTP-delivered CSV
  • Databases: MySQL, PostgreSQL, MongoDB, AWS DocumentDB
  • Warehouses: Google BigQuery, Amazon Redshift

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.

Security & governance

  • Per-organization isolation — every query is scoped to your org; tenants never see each other's data.
  • OAuth-authenticated — no shared API keys; identity is established per user.
  • Team-level table grants — admins control exactly which tables each team can reach.
  • Full audit trail — every tool call is logged, with optional SOC2-grade request/response capture.
  • Read-only enforcement — validated SELECT-only access plus read-only DB sessions, defense in depth.

Getting started

  1. Create an account and your organization.
  2. Connect a data source — upload a CSV or connect a database/warehouse from the dashboard.
  3. Expose tables to your team and add curated metadata (optional but improves answer quality).
  4. Add the connector in your LLM client using the endpoint above and sign in.
  5. Ask questions about your data in plain language.

Links

About this repository

This repository is the public home for the DataAssist-IO MCP server's registry listing. DataAssist-IO is a hosted service — the server runs in DataAssist-IO's infrastructure, so there is no code to clone or deploy here. For product questions or support, visit dataassist.io.

来源：readme.md，提交 5c228e3

工具

0
该服务器需要登录，因此 SourceWeft 无法在没有账号的情况下读取其工具，也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

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