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pacvue/pacvue-mcp

Developer tools

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Generate Pacvue ad reports from any MCP client. We focus on , and support any other agent that speaks the Model Context Protocol.

概要

Generate Pacvue ad reports from any MCP client. We focus on , and support any other agent that speaks the Model Context Protocol. where connectors are governed at the workspace level, individual users may not be permitted to add Pacvue MCP as a Custom Connector. Please contact your IT administrator to have it provisioned for your organization. Report MCP covers all retailers your Pacvue account has access to. New retailers and new fields are picked up automatically — no MCP-side changes. Data Query MCP and SOV Query MCP run on the same retailer footprint and the same Console permission model — entitlements decide which tools and platforms appear in the agent's list. One toolset per task. Pick a flow and stay in it — agents shouldn't mix Report calls with Data Query or SOV Query calls in the same job. The matrix below shows which retailers each toolset covers.

README

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Pacvue MCP

Generate Pacvue ad reports from any MCP client. We focus on Cursor, Claude (Code & Desktop), and ChatGPT, and support any other agent that speaks the Model Context Protocol.

One MCP server, no per-tool wiring.

Enterprise-managed clients (Claude, ChatGPT, and similar): where connectors are governed at the workspace level, individual users may not be permitted to add Pacvue MCP as a Custom Connector. Please contact your IT administrator to have it provisioned for your organization.

What you get

Capability What it’s for Output Limits
Report MCP Ad-hoc one-off report exports — “give me a file I can save / share” CSV (or ZIP of CSVs for multi-tab reports) via pre-signed URL Async, ≤ 150,000 rows, 24h download window
Data Query MCP Inline analytical queries — “show me the numbers in chat” Inline JSON rows in the agent response Synchronous
SOV Query MCP Share of Voice in chat — brand / keyword / ASIN tabs Inline paginated JSON tables Synchronous

Report MCP covers all retailers your Pacvue account has access to. New retailers and new fields are picked up automatically — no MCP-side changes. Data Query MCP and SOV Query MCP run on the same retailer footprint and the same Console permission model — entitlements decide which tools and platforms appear in the agent’s list.

Choosing the right toolset

User intent Toolset When to use
Download a CSV/ZIP report Report MCP “Send me the file”, scheduled exports, large historical pulls
Ad-hoc metrics in chat Data Query MCP “Show me the numbers”, quick analysis, follow-up questions in thread
Share of Voice table in chat SOV Query MCP Competitive SOV brand/keyword/ASIN views without leaving the agent
Bulk SOV export to file Report MCP (SOVReport) Spreadsheet hand-off, multi-tab SOV ZIP

One toolset per task. Pick a flow and stay in it — agents shouldn’t mix Report calls with Data Query or SOV Query calls in the same job.

Retailer support

GitHub で README 全文を見る

インストール

npx -y mcp-remote https://mcp.pacvue.com/mcp --header Authorization: pv_<your-api-token>
MCP 初心者?mcpskill.org のガイドから始めましょう →

設定

{ "mcpServers": { "pacvue-mcp": { "url": "https://mcp.pacvue.com/mcp" } } }