Semanticscholar MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Semanticscholar MCP or direct API to search academic papers, summarize research, extract citations, and track scientific topics through natural language.
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Enter a prompt below to test the integration in our Tool Router playground. You'll be redirected to sign in and try it live.

Supported Tools

Tools
Details about an authorRetrieve detailed information about an author from Semantic Scholar, including name, affiliations, publication statistics (paperCount, citationCount, h-index), external IDs (ORCID, DBLP), and optionally papers.
Details about an author s papersRetrieves a list of papers authored or co-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 dataset download linksTool to get download links for a specific dataset within a release.
Get dataset diffsGet download links for incremental diffs between dataset releases.
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 onceRetrieve detailed information for multiple academic papers in a single API call using the Semantic Scholar paper batch endpoint.
Get paper recommendationsTool to get paper recommendations based on positive and negative example papers.
Get recommendations for paperTool to get recommended papers for a single positive example paper.
Get dataset release informationTool to retrieve metadata for a specific Semantic Scholar dataset release.
List available dataset releasesTool to list all available dataset releases from Semantic Scholar.
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 Bulk PapersTool to perform bulk search for academic papers.
Search for authors by nameSearch for academic authors in the Semantic Scholar database by name.
Search papers by relevanceTool to search for academic papers by relevance in the Semantic Scholar database.
Suggest paper query completionsGet autocomplete suggestions for paper queries.
Text snippet searchSearch for text snippets (~500 words) within academic papers that match your natural language query.
Python
TypeScript

Install Composio

python
pip install composio claude-agent-sdk
Install the Composio SDK and Claude Agent SDK

Create Tool Router Session

python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
Initialize the Composio client and create a Tool Router session

Connect to AI Agent

python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Semanticscholar tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Find papers about graph neural networks published after 2022')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
Use the MCP server with your AI agent

Why Use Composio?

AI Native Semanticscholar Integration

  • Supports both Semanticscholar MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for searching, summarizing, and analyzing scientific literature

Managed Auth

  • Built-in API key handling with secure credential storage
  • Central place to manage and revoke Semanticscholar access
  • Per user and per environment credentials for safer automation

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Semanticscholar
  • Scoped, least privilege access to scientific data
  • Full audit trail of agent actions to support review and compliance

Use Semanticscholar with any AI Agent Framework

Choose a Framework you want to connect Semanticscholar with

Frequently Asked Questions

Do I need my own developer credentials to use Semanticscholar with Composio?

Yes, Semanticscholar requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Used by agents from

Context
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
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

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

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