Contextflo MCP Server已验证已精选

@Vivek Sah

主页文档

基本信息

传输方式

Streamable HTTP

认证方式

OAuth

分类

数据与分析

作者

Vivek Sah

提交者

Vivek Sah

关于 Contextflo MCP Server

Contextflo is a governed context layer that lets your whole team ask questions of your real data through the AI they already use. Connect BigQuery, Snowflake, Postgres, Redshift, Databricks, ClickHouse, or upload a CSV, then query it in Claude or ChatGPT over MCP. Table-level access control is enforced at query time and every query is audited per user, so non-technical teammates get self-serve answers without seeing data they should not.

#claude#BI#self-serve#semantic-layer

连接信息

https://mcp.contextflo.com/mcp

接入方式

claude mcp add contextflo --transport http https://mcp.contextflo.com/mcp

Contextflo MCP Server 工具

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概览

What is Contextflo?

Contextflo is a governed context layer that connects Claude and ChatGPT to your data warehouse. Your whole team can ask questions of real company data in the AI they already use, no SQL required, and without exposing data they should not see.

What it does

Connects to BigQuery, Snowflake, Postgres, Redshift, Databricks, ClickHouse, and MySQL, or you upload a CSV.
Exposes your data over MCP, so Claude, ChatGPT, or any MCP client can query it.
Enforces table-level access control at query time (Users, Groups, Rules).
Logs every query per user for a complete audit trail.
Answers using context built from your schema, saved queries, metric definitions, and docs, so numbers match what your team already agreed on.
Includes dashboards and scheduled reports.

Built for teams

Roll it out to everyone who needs answers, sales, ops, finance, support, and keep the controls a company needs. Each person only reaches the tables you allow, you see what the whole team is asking about, and every query is logged to a per-user audit trail. Self-serve for them, visibility and control for you.

How it works

Connect a data source, or upload a CSV. Setup takes about ten minutes.
Set access: table-level rules per user and group.
Your team asks questions from Claude or ChatGPT over MCP.
Contextflo answers with your context and logs the query for audit.

Why it is different

A raw database MCP hands the model your whole database with no guardrails. Contextflo adds the layer a company actually needs:

Query-time, table-level access control, not all-or-nothing.
Per-user audit of every query.
Context so answers use agreed definitions instead of guessing.
Works across your whole stack, plus CSV uploads.

Who it is for

Teams without a dedicated data team who want self-serve answers, and data leads who need governance and audit before letting an LLM near the warehouse.

Pricing

Free for one user and one source. Paid plans from $75/user/mo. See https://contextflo.com/pricing

常见问题

Contextflo 远程 MCP 服务器是什么?

Contextflo 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://mcp.contextflo.com/mcp,AI 助手无需在本地安装或运行任何东西即可连接。

怎么连接 Contextflo 的 MCP 服务器?

把端点 https://mcp.contextflo.com/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。

Contextflo 的 MCP 服务器需要认证吗?

需要。Contextflo 使用 OAuth——第一次连接时,你的 MCP 客户端会打开浏览器窗口登录并授权,之后会复用这个凭证。

Contextflo 的 MCP 服务器用的是哪种传输方式?

Contextflo 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。