datacloud-mcp-query CLAUDE.md

datacloud-mcp-query CLAUDE.md is an instructions file for coding agents from forcedotcom/datacloud-mcp-query. It costs 1,672 tokens per session, scanned A, original, Apache-2.0.

Setup and development instructions for an MCP server that connects Cursor, a code editor, to Salesforce Data Cloud, a platform for storing and analyzing business data. The server lets an agent run SQL queries and inspect tables.

In plain words
What is it for?
Use it when developing, configuring, or troubleshooting this MCP server, including Salesforce login, environment variables, SQL access, table listing, and table structure descriptions.
Why use it?
It explains how to install dependencies, authenticate with Salesforce, start the server, and configure its settings. This removes guesswork when getting the project running locally.

Instructions file

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add instructions/forcedotcom/datacloud-mcp-query/claude-md
Clone the repo
git clone --depth 1 https://github.com/forcedotcom/datacloud-mcp-query

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/instructions/forcedotcom/datacloud-mcp-query/claude-md"><img src="https://agentmods.dev/badge/instructions/forcedotcom/datacloud-mcp-query/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,672 This file is loaded in full into every session.
When invoked 1,672 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.01672 $0.01672
Opus 5 $0.00836 $0.00836
Sonnet 5 $0.00334 $0.00334
Haiku 4.5 $0.00167 $0.00167

Measured 4d ago against content hash ac4d237b2d54, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

datacloud-mcp-query CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 194 lines

How it starts

The opening of the file, as written. The whole thing — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

This is a Model Context Protocol (MCP) server that provides integration between Cursor IDE and Salesforce Data Cloud. It exposes tools for executing SQL queries, listing tables, and describing table structures through the MCP protocol using the FastMCP framework.

Setup and Development

Installation

# Install dependencies
pip install -r requirements.txt

Running the Server

Option 1: Using SF CLI Authentication (Recommended)

# Prerequisites: Authenticate with SF CLI
sf org login web --alias myorg

# Set required environment variable
export SF_ORG_ALIAS="myorg"

# Optional environment variables
export DEFAULT_LIST_TABLE_FILTER="%"  # default, SQL LIKE pattern

# Run the server
python server.py

Option 2: Using OAuth PKCE Authentication

# Set required environment variables
export SF_CLIENT_ID="your_client_id"
export SF_CLIENT_SECRET="your_client_secret"

# Optional environment variables
export SF_LOGIN_URL="login.salesforce.com"  # default
export SF_CALLBACK_URL="http://localhost:55556/Callback"  # default
export DEFAULT_LIST_TABLE_FILTER="%"  # default, SQL LIKE pattern

# Run the server
python server.py

Testing Individual Components

# Test the Data Cloud SQL client directly
python connect_api_dc_sql.py

# This will prompt for OAuth authentication and run a test query

Architecture

Four-Layer Design

The codebase follows a clean four-layer architecture with pluggable authentication:

  1. MCP Server Layer (server.py)

    • Entry point for the MCP server using FastMCP framework
    • Defines three MCP tools: query(), list_tables(), describe_table()
    • Uses authentication abstraction via auth_provider interface
    • All SQL uses PostgreSQL dialect
  2. Authentication Abstraction Layer

    • auth_interface.py: Defines AuthProvider protocol with get_token(), get_instance_url(), and is_available() methods
    • auth_factory.py: Auto-detection logic that selects appropriate authentication method
    • Implements authentication priority: SF CLI → OAuth → Error with setup instructions

Read the full file on GitHub · 194 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 194 lines · 1,672 tokens per session scan A ac4d237b2d54

Subscribe to this mod's changes

datacloud-mcp-query CLAUDE.md is an instructions file published in the GitHub repository forcedotcom/datacloud-mcp-query (8 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,672 tokens to every session, about $0.0084 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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