How to integrate Semanticscholar MCP with OpenClaw

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Introduction

OpenClaw is the fastest growing agent harness out there, which can work 24/7 to automate almost any kind of tasks. However, its capabilities are limited to the tools it has access to. Composio allows your OpenClaw to access Semanticscholar with authentication management handled for you. You can execute actions on Semanticscholar via your favorite OpenClaw interface (Telegram, WhatsApp, TUI, etc), whichever you prefer.

Why use Composio?

Apart from a managed and hosted MCP server, you will get:

  • Programmatic tool calling allows LLMs to write its code in a remote workbench to handle complex tool chaining. Reduces to-and-fro with LLMs for frequent tool calling.
  • Handling Large tool responses out of LLM context to minimize context rot.
  • Dynamic just-in-time access to 20,000 tools across 850+ other Apps for cross-app workflows. It loads the tools you need, so LLMs aren't overwhelmed by tools you don't need.

How to install Semanticscholar with OpenClaw

Using Composio API Key and Setup Prompt

Copy the setup prompt from the OpenClaw dashboard
  • Run it in your OpenClaw chat interface.
  • Authenticate Semanticscholar from the dashboard
  • Go back to your OpenClaw interface and start asking questions.

Using OpenClaw/Composio Plugin

1. Install OpenClaw Composio plugin

bash
openclaw plugins install @composio/openclaw-plugin

2. Copy the API Key from dashboard.composio.dev

3. Setup OpenClaw Config

openclaw config set plugins.entries.composio.config.consumerKey "ck_your_key_here"

4. Restart OpenClaw

openclaw gateway restart

5. Go to your chat interface and start asking questions.

6. When prompted, authenticate the app and you're all set.

How It Works

The plugin connects to Composio's MCP server at https://connect.composio.dev/mcp and registers all available tools directly into the OpenClaw agent. Tools are called by name — no extra search or execute steps needed.

If a tool returns an auth error, the agent will prompt you to connect that toolkit at dashboard.composio.dev.

Configuration

{
  "plugins": {
    "entries": {
      "composio": {
        "enabled": true,
        "config": {
          "consumerKey": "ck_your_key_here"
        }
      }
    }
  }
}
OptionDescriptionDefault
enabledEnable or disable the plugintrue
consumerKeyYour Composio consumer key (ck_...)
mcpUrlMCP server URL (advanced)https://connect.composio.dev/mcp

What is the Semanticscholar MCP server, and what's possible with it?

The Semanticscholar 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 scholarly data, so your agent can search for academic papers, retrieve detailed author profiles, analyze citations, and explore references or publication histories on your behalf.

  • Comprehensive literature search and discovery: Let your agent search for academic papers by topic, author, or relevance and retrieve lists of matching publications with rich metadata.
  • In-depth paper and author insights: Ask your agent to fetch detailed information about specific papers—including titles, abstracts, authors, and publication years—or get complete profiles for researchers and their entire body of work.
  • Citation and reference analysis: Enable your agent to trace the impact of a paper by pulling its citations or explore the foundational research it builds upon by listing its references.
  • Batch retrieval for large-scale research: Efficiently gather details on multiple papers or authors at once, streamlining reviews and bibliometric analyses across large datasets.
  • Bulk and relevance-based queries: Use advanced bulk search and filtering to identify up to thousands of papers at a time, making it easy for your agent to support systematic literature reviews and academic data exploration.

Supported Tools & Triggers

Tools
Details about an authorExamples: https://api.
Details about an author s papersRetrieves a list of papers authored by a specific researcher identified by their unique semantic scholar author id.
Details about a paperExamples: https://api.
Details about a paper s authorsRetrieves the list of authors for a specific paper identified by its unique paper id in the semantic scholar database.
Details about a paper s citationsRetrieves a list of citations for a specific academic paper using its unique semantic scholar paper id.
Details about a paper s referencesRetrieves the list of references cited by a specific paper in the semantic scholar database.
Get details for multiple authors at onceRetrieves detailed information for multiple authors from semantic scholar in a single api call.
Get details for multiple papers at onceThe semanticscholar paper batch endpoint allows users to retrieve data for multiple academic papers in a single api call.
Paper bulk searchBehaves similarly to /paper/search, but is intended for bulk retrieval of basic paper data without search relevance: text query is optional and supports boolean logic for document matching.
Paper relevance searchThe searchpapers endpoint allows users to search for academic papers within the semantic scholar database.
Paper title searchBehaves similarly to /paper/search, but is intended for retrieval of a single paper based on closest title match to given query.
Search for authors by nameThe authorsearch endpoint allows users to search for authors within the semantic scholar database.
Suggest paper query completionsTo support interactive query-completion, return minimal information about papers matching a partial query example: https://api.
Text snippet searchReturn the text snippets that most closely match the query.

Conclusion

You've successfully integrated Semanticscholar with OpenClaw using Composio plugin. Now interact with Semanticscholar directly from your terminal, Web UI, or any messenger app using natural language commands.

Key benefits of this setup:

  • Seamless integration across TUI, Web UIs, and Messenger apps like Telegram, WhatsApp, Slack, etc.
  • Natural language commands for Semanticscholar operations
  • Managed authentication through Composio
  • Access to 20,000+ tools across 850+ apps for cross-app workflows
  • Programmatic tool calling for complex tool chaining

Next steps:

  • Try asking OpenClaw to perform various Semanticscholar operations
  • Explore cross-app workflows by connecting more toolkits like Calendar, Slack, Notion, etc.
  • Build complex automation scripts that leverage OpenClaw's 24/7 running capabilities

How to build Semanticscholar MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Semanticscholar MCP?

With a standalone Semanticscholar MCP server, the agents and LLMs can only access a fixed set of Semanticscholar tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Semanticscholar and many other apps based on the task at hand, all through a single MCP endpoint.

Can I use Tool Router MCP with OpenClaw?

Yes, you can. OpenClaw fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Semanticscholar tools.

Can I manage the permissions and scopes for Semanticscholar while using Tool Router?

Yes, absolutely. You can configure which Semanticscholar scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Semanticscholar data and credentials are handled as safely as possible.

Used by agents from

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Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

Never worry about agent reliability

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