# Consensus

```json
{
  "name": "Consensus",
  "slug": "consensus",
  "url": "https://composio.dev/toolkits/consensus",
  "markdown_url": "https://composio.dev/toolkits/consensus.md",
  "logo_url": "https://logos.composio.dev/api/consensus",
  "categories": [
    "education & lms"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-04T14:49:33.282Z"
}
```

![Consensus logo](https://logos.composio.dev/api/consensus)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Consensus MCP or direct API to search scientific papers, summarize evidence, extract study findings, and answer research questions through natural language.

## Summary

Consensus is an evidence-based search engine for scientific research papers.
It helps you find clear, research-backed answers without digging through papers manually.

## Categories

- education & lms

## Toolkit Details

- Tools: 1

## Images

- Logo: https://logos.composio.dev/api/consensus

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Consensus.
  - Setup:
    - Configure Api Key credentials for Consensus.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Summarize evidence on creatine muscle strength
- Find papers about intermittent fasting longevity
- Compare studies on caffeine sleep quality

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CONSENSUS_SEARCH_PAPERS` | Search Research Papers | Search Consensus for relevant research papers with study, publication, and access filters. Returns one result page and an optional continuation cursor. Search calls are billed; pagination beyond the first page and full-text chunks require Enterprise access. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Consensus
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["consensus"])
tools = session.tools()
```

```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: ["consensus"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Consensus tools with your agent

Send a request, execute the Consensus tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Search Consensus for evidence on whether creatine improves muscle strength"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Search Consensus for evidence on whether creatine improves muscle strength" }],
});

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);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Consensus and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["consensus"], mcp=True)
```

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["consensus"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Consensus request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Consensus tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Search Consensus for evidence on whether creatine improves muscle strength")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```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: "Search Consensus for evidence on whether creatine improves muscle strength",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Consensus Integration

- Supports both Consensus MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable research search and evidence retrieval
- Rich coverage for querying scientific literature and turning paper results into useful answers

### 2. Managed Auth

- Secure API key handling so you don't have to hard-code Consensus credentials
- Central place to manage, scope, and revoke Consensus access
- Per user and per environment credentials for safer research workflows

### 3. 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 research query ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Consensus
- Scoped, least privilege access to Consensus research search capabilities
- Full audit trail of agent actions to support review and compliance

## Use Consensus with any AI Agent Framework

Choose a framework you want to connect Consensus with:

- [ChatGPT](https://composio.dev/toolkits/consensus/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/consensus/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/consensus/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/consensus/framework/atomic-agent)

## Related Toolkits

- [Canvas](https://composio.dev/toolkits/canvas) - Canvas is a learning management system for online courses, assignments, grading, and collaboration. It's trusted by educators and students to streamline virtual classrooms and enhance digital learning.
- [Accredible certificates](https://composio.dev/toolkits/accredible_certificates) - Accredible Certificates is a platform for creating and managing digital certificates, badges, and blockchain credentials. It streamlines issuing, tracking, and verifying professional achievements for organizations of any size.
- [Api bible](https://composio.dev/toolkits/api_bible) - API.Bible is a developer platform for Scripture content and passage search. Easily integrate Bible verses and translations into your apps or chatbots.
- [Blackboard](https://composio.dev/toolkits/blackboard) - Blackboard is a digital learning platform for higher education and schools, offering tools to manage courses, track engagement, and deliver interactive content. It helps institutions improve student outcomes through actionable analytics and in-app guidance.
- [Certifier](https://composio.dev/toolkits/certifier) - Certifier is a platform for creating, managing, and issuing digital certificates and credentials. Organizations use it to automate and secure the entire credentialing process.
- [Classmarker](https://composio.dev/toolkits/classmarker) - ClassMarker is a professional online quiz maker for business and education. It provides instant grading, flexible test design, and in-depth reporting.
- [Coassemble](https://composio.dev/toolkits/coassemble) - Coassemble is a flexible platform for building, managing, and delivering online training courses. It helps teams streamline onboarding, upskilling, and ongoing learning for employees or partners.
- [Consensus MCP](https://composio.dev/toolkits/consensus_mcp) - Consensus MCP is a research search service that finds peer-reviewed papers, study metadata, and citations. Use it to surface evidence-backed studies and structured citations quickly.
- [D2lbrightspace](https://composio.dev/toolkits/d2lbrightspace) - D2L Brightspace is a learning management system for delivering and managing online courses and assessments. It helps educators streamline digital teaching, assignments, and communication with students.
- [Dictionary api](https://composio.dev/toolkits/dictionary_api) - Dictionary api is the Merriam-Webster API providing rich dictionary and thesaurus data for developers. Instantly access definitions, synonyms, etymologies, and audio pronunciations in your apps.
- [Google Classroom](https://composio.dev/toolkits/google_classroom) - Google Classroom is a free web service for educators and students to manage assignments and communication. It streamlines classroom collaboration and grading, making teaching simpler and more connected.
- [Heights Platform](https://composio.dev/toolkits/heights_platform) - Heights Platform is an online course, digital product, and community platform for creators. It helps you sell learning products, manage students, track orders, and control access in one place.
- [Lessonspace](https://composio.dev/toolkits/lessonspace) - Lessonspace is an online collaborative classroom platform offering video, whiteboards, and real-time interaction for educators and students. It streamlines remote teaching with integrated tools for engagement and communication.
- [Linguapop](https://composio.dev/toolkits/linguapop) - Linguapop is a web platform for administering language placement tests in English, German, Spanish, Italian, and French. It helps schools and organizations efficiently manage multilingual assessments and analyze results.
- [Memberspot](https://composio.dev/toolkits/memberspot) - Memberspot is an online course and video-hosting platform for business learning. It helps teams manage, deliver, and track knowledge efficiently.
- [Membervault](https://composio.dev/toolkits/membervault) - Membervault is a platform for hosting courses, memberships, and digital products in one place. It helps you build stronger relationships with your audience by centralizing digital offers and customer engagement.
- [Mighty Networks](https://composio.dev/toolkits/mighty_networks) - Mighty Networks is a community platform for memberships, courses, events, and spaces. It helps creators and brands run paid communities from one managed hub.
- [WaniKani](https://composio.dev/toolkits/wanikani) - WaniKani is a spaced-repetition platform for learning Japanese radicals, kanji, and vocabulary. It helps learners build long-term retention with structured lessons, reviews, and progress tracking.
- [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable.
- [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options.

## Frequently Asked Questions

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

Yes, Consensus requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you. You can create the auth config with auth_configs.create(), link user accounts with connected_accounts.link(), and expose Consensus tools through mcp.create().

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)