How to connect Semanticscholar to Muse

Muse is Meta's AI assistant. It can connect to outside tools through custom connectors, which use the Model Context Protocol (MCP).

This guide explains how to connect Semanticscholar to Muse using Composio Connect, which handles OAuth, token refresh, and reliability so you do not have to. You add Composio as a custom connector once, then ask Muse to work with Semanticscholar in plain language.

• Cross-app workflows across 1,500+ apps from a single plugin layer.
• On-demand tool loading so Muse only loads the tools needed for the current task.
• Programmatic tool calling through a remote workbench for complex, multi-step workflows.
• Multi-account support so users can connect and switch between multiple accounts for the same app.
• Shared account access so teams or agents can work through common business accounts and service connections.
• Managed authentication with OAuth handling, credential storage, and token refresh managed by Composio.
• Safer credential handling so app credentials stay outside the model context and tool responses.
• User-level account isolation so actions run against the correct connected account instead of mixing user access.

Connecting Semanticscholar to Muse

You add Composio to Muse once as a custom connector, then connect Semanticscholar from the chat.

The Semantic Scholar MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Semantic Scholar account. It provides structured and secure access to academic papers, author profiles, citations, recommendations, and dataset releases, so your agent can search literature, examine research, explore authors, find related papers, and retrieve dataset information on your behalf.

• Academic paper discovery: Have your agent search papers by relevance, run bulk literature searches, find a paper by title, complete partial queries, or locate matching text snippets within papers.
• Paper details and authorship: Let the agent retrieve details about one or more papers, identify their authors, and review key information about each work.
• Citations and references: Direct your agent to inspect the papers that cite a study and the references used by that study.
• Author research: Instruct your agent to search for researchers by name, review author profiles and publication statistics, or examine papers written by selected authors.
• Recommendations and research datasets: Have your agent find related papers from positive and negative examples, list dataset releases, review release details, and retrieve dataset downloads or incremental updates.

Way Forward

Now that Semanticscholar is connected, extend your setup by connecting the other apps you already use every day, so Muse can run true cross-app workflows end to end.

• Connect Calendar to turn threads into scheduled meetings automatically.
• Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
• Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
• Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.

Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single connection, Muse can coordinate multiple tools safely and reliably in one conversation.