Semanticscholar MCP server for AI agents and assistants

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.

Semanticscholar logoSemanticscholar
Api Key

Semantic Scholar is an AI-powered academic search engine for scientific literature. It helps researchers quickly discover, analyze, and understand research papers across disciplines.

20 Tools

Try Semanticscholar now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Semanticscholar
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TOOLS

Supported Tools

Every Semanticscholar action and event your agent gets out of the box.

Details about an author

Retrieve 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 papers

Retrieves a list of papers authored or co-authored by a specific researcher identified by their unique Semantic Scholar author ID.

Details about a paper

Examples: https://api.

Details about a paper s authors

Retrieves the list of authors for a specific paper identified by its unique paper_id in the Semantic Scholar database.

Details about a paper s citations

Retrieves a list of citations for a specific academic paper using its unique Semantic Scholar paper ID.

Details about a paper s references

Retrieves the list of references cited by a specific paper in the Semantic Scholar database.

Get dataset download links

Tool to get download links for a specific dataset within a release.

Get dataset diffs

Get download links for incremental diffs between dataset releases.

Get details for multiple authors at once

Retrieves detailed information for multiple authors from Semantic Scholar in a single API call.

Get details for multiple papers at once

Retrieve detailed information for multiple academic papers in a single API call using the Semantic Scholar paper batch endpoint.

Get paper recommendations

Tool to get paper recommendations based on positive and negative example papers.

Get recommendations for paper

Tool to get recommended papers for a single positive example paper.

Get dataset release information

Tool to retrieve metadata for a specific Semantic Scholar dataset release.

List available dataset releases

Tool to list all available dataset releases from Semantic Scholar.

Paper title search

Behaves similarly to /paper/search, but is intended for retrieval of a single paper based on closest title match to given query.

Search Bulk Papers

Tool to perform bulk search for academic papers.

Search for authors by name

Search for academic authors in the Semantic Scholar database by name.

Search papers by relevance

Tool to search for academic papers by relevance in the Semantic Scholar database.

Suggest paper query completions

Get autocomplete suggestions for paper queries.

Text snippet search

Search for text snippets (~500 words) within academic papers that match your natural language query.

SETUP GUIDE

Connect Semanticscholar MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["semanticscholar"],
  mcp: true,
});
Create a session scoped to Semanticscholar and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Find the most cited papers in deep learning from 2022.",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Semanticscholar request
SETUP GUIDE

Connect Semanticscholar API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["semanticscholar"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Semanticscholar
3

Run Semanticscholar tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Find the most cited papers in deep learning from 2022." }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Semanticscholar tool calls through the session, and print the final answer

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

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

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FAQ

Frequently asked questions

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

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

Yes. Composio is SOC 2 Type II compliant and is built to keep your Semanticscholar connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

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

Create the key in your Semanticscholar account settings, then paste it once on Composio's connection page. Composio stores it encrypted and uses it only for the Semanticscholar actions your agent runs. Nobody else in your workspace can read it, and you can revoke it inside Semanticscholar at any time.

When you connect a Semanticscholar account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Semanticscholar as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Semanticscholar. If Semanticscholar lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Semanticscholar at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Semanticscholar connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

The connection stops working the moment Semanticscholar rejects the old key. Create a new key in Semanticscholar and reconnect the account from the Composio dashboard or by asking your agent to reconnect Semanticscholar. Nothing else changes.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Semanticscholar use. Paid plans add higher limits and team features. Your Semanticscholar plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Semanticscholar accounts).

With Composio, you connect Semanticscholar once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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