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ivanbbaev/instagram-mcp

开发工具

本页由 AI 翻译,技术细节请以原文为准。 查看原文

6 stars 6 forks 质量 84 趋势 34MIT

MCP server for the Instagram Platform (Meta Graph API) — 28 professional-account tools (publishing, insights, comments, discovery) for LLM agents.

概览

A locally-run, TypeScript Model Context Protocol server that exposes an Instagram (Business/Creator) over the (graph.instagram.com / graph.facebook.com) — content publishing, media management, comment moderation, insights and discovery, as safe, well-annotated MCP tools. It talks : no scraping, no instagram-private-api-style clients, no cookie/session reuse. It ingests media . Credentials live in a local env file and can be obtained/refreshed with a built-in CLI. The read path (account, media, insights), the write path (content publishing, comment moderation) and discovery are all implemented, unit-tested and CI-green across Linux/macOS/Windows on Node 22 and 24. — the suite is offline by construction, so what is proven is behaviour against recorded Graph shapes, not against Meta's live responses. That, not missing functionality, is what separates 0.8.0 from 1.0.0.

README

以下为原文 README 节选,完整内容请查看原文。

instagram-mcp-ai — Instagram MCP Server

📖 Documentation site →

A locally-run, TypeScript Model Context Protocol server that exposes an Instagram professional account (Business/Creator) over the official Meta Graph API (graph.instagram.com / graph.facebook.com) — content publishing, media management, comment moderation, insights and discovery, as safe, well-annotated MCP tools. It talks only to official Meta endpoints: no scraping, no instagram-private-api-style clients, no cookie/session reuse. It ingests media by public HTTPS URL only. Credentials live in a local env file and can be obtained/refreshed with a built-in CLI.

Status: published to npm as [email protected] (2026-10-13). The read path (account, media, insights), the write path (content publishing, comment

在 GitHub 查看完整 README

安装

npx -y instagram-mcp-ai
新手?先看 mcpskill.org 教程 →

配置

// claude_desktop_config.json / .mcp.json { "mcpServers": { "instagram": { "command": "npx", "args": ["-y", "instagram-mcp-ai"], "env": { "IG_ACCESS_TOKEN": "<long-lived ig-login token>", "IG_ACCOUNT_ID": "<ig professional account id>" } } } }