Instagram Analytics
This Instagram server, developed for the Model Context Protocol, provides AI assistants with capabilities to interact with Instagram's features and data. It integrates with Instagram's API to enable functionalities like retrieving user profiles, posts, and engagement metrics. The server leverages Puppeteer and Playwright for web scraping capabilities, allowing it to access data not readily available through official APIs. By abstracting Instagram interactions, it enables AI systems to analyze social media trends, manage accounts, and gather insights from Instagram content. This implementation is particularly useful for social media managers, marketers, and researchers who want to leverage AI for Instagram analytics, content strategy, and audience engagement analysis.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/duhlink/instagram-server-next-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Instagram Analytics from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.