About instagram-data
A superagnt data source for AI agents researching Instagram profiles, posts, reels, followers, influencers, and brands. It is part of a broader MCP server and packaged workflow ecosystem.
Key features
- 01Instagram profile and post data
- 02Reels and follower data
- 03Influencer and brand research
- 04Packaged agent workflows
Use cases
- 01Researching an influencer or brand
- 02Reviewing Instagram posts and reels
MCP support
The superagnt MCP server exposes Instagram and other data sources to AI agents. Packaged skills provide workflows that use its tools.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://mcp.superagnt.com/mcp/instagramclaude mcp add --transport http com-superagnt-instagram-data https://mcp.superagnt.com/mcp/instagram{"mcpServers":{"com-superagnt-instagram-data":{"type":"http","url":"https://mcp.superagnt.com/mcp/instagram"}}}Open in Cursor{"servers":{"com-superagnt-instagram-data":{"type":"http","url":"https://mcp.superagnt.com/mcp/instagram"}}}Open in VS Code{"mcpServers":{"com-superagnt-instagram-data":{"type":"http","url":"https://mcp.superagnt.com/mcp/instagram"}}}{"mcpServers":{"com-superagnt-instagram-data":{"serverUrl":"https://mcp.superagnt.com/mcp/instagram"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEsuperagnt plugins for Claude Code
The superagnt MCP server gives your agent every data source (X, TikTok, YouTube, Instagram, Reddit, LinkedIn, web), people + company enrichment, a real workspace Postgres, schedules, webhooks and shareable dashboards. These plugins carry the skills that teach the workflows.
Install
- Add the superagnt server to Claude as a connector: open the prefilled dialog and click Add. The consent screen doubles as signup. One connector covers claude.ai, the desktop app, mobile, Cowork and Claude Code signed in with your Claude account. The desktop app only loads connectors when it starts, so refresh it with Cmd+R (Ctrl+R on Windows) or quit and reopen it after you approve.
- Install the skills:
/plugin marketplace add superagnt/plugins
/plugin install superagnt@superagnt
No tokens, no config editing, no secrets in this repo. Claude Code signed in with an API key doesn't load connectors; use the fallback in the setup guide, https://www.superagnt.com/install.
Skills
Skill plugins are packaged workflows: the skill plus the tools it needs. Each pulls the base plugin in as a dependency, so one line installs the whole stack:
/plugin install super-seo@superagnt # your whole SEO practice, measured and ranked
/plugin install audience-radar@superagnt # cited post ideas, every morning
/plugin install competitor-mindshare@superagnt # a daily competitor scoreboard on X
/plugin install gtm-prospecting-desk@superagnt # scored prospects + drafts, every morning
Every skill has a page describing exactly what it does before you install anything: https://superagnt.com/skills
What's inside
plugins/superagnt/— eight base skills (data-sources, lead-generation, workspace-db, task-agents, automations, data-pipelines, dashboards, superagnt-setup) and the/superagnt:connectcommand (the Codex copy also carries the MCP server config).plugins/<skill>/— one skill per packaged workflow. Read any skill before installing; they are plain markdown.
Two rules every skill follows: your agent can propose a plan upgrade when a limit is reached, but money only ever moves on a confirmation page you open yourself, and nothing sends outbound (email, posts, DMs). Drafts are the deliverable.
Other harnesses
Not on Claude Code? The same setup is one paste in any MCP client. Open https://www.superagnt.com/install, copy the line it shows, and paste it into your agent.
About this repo
Generated from the superagnt monorepo (tools/claude-plugins/) — issues and
PRs here are read, but content changes land upstream and sync out. MIT
licensed.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.