# Consensus MCP

```json
{
  "name": "Consensus MCP",
  "slug": "consensus_mcp",
  "url": "https://composio.dev/toolkits/consensus_mcp",
  "markdown_url": "https://composio.dev/toolkits/consensus_mcp.md",
  "logo_url": "https://logos.composio.dev/api/consensus_mcp",
  "categories": [
    "education & lms"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-09-01T05:37:50.617Z"
}
```

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

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Consensus MCP or direct API to search research papers, retrieve citations, fetch study metadata, and summarize evidence through natural language.

## Summary

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.

## Categories

- education & lms

## Toolkit Details

- Tools: 1

## Images

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

## Authentication

- **Dcr Oauth**
  - Type: `custom`
  - Description: Dcr Oauth authentication for Consensus MCP.
  - Setup:
    - Configure Dcr Oauth credentials for Consensus MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Find randomized trials on diabetes treatments
- List citations for COVID-19 vaccine studies
- Summarize methodology of recent Alzheimer trials

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CONSENSUS_MCP_SEARCH` | Search | Search over 220 million peer-reviewed academic papers. Use this tool when the user asks about research, studies, evidence, scientific findings, clinical trials, medical research, or academic literature. Covers Semantic Scholar, PubMed, Scopus, and ArXiv. Returns paper titles, authors, abstracts, citation counts, journal quality scores, and direct URLs to each paper. All filters are optional — only apply them when the user explicitly asks. Example query → filter mappings: - "what does the evidence say about metformin for longevity?" → query="metformin longevity mortality", medical_mode=True, exclude_preprints=True - "recent peer-reviewed RCTs on SGLT2 inhibitors for heart failure" → query="SGLT2 inhibitors heart failure outcomes", year_min=2022, exclude_preprints=True, study_types=["rct"] - "long-term studies of statin side effects (1+ year)" → query="statin adverse effects long-term", duration_min=365, medical_mode=True - "what is dark matter?" → query="dark matter" (no filters — general question) - "coffee and cognition, excluding top-tier Q1 journals" → query="coffee cognition", sjr_min=2 |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

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

Install the Composio SDK
```python
pip install composio_openai
```

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

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

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

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Consensus MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Consensus MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'YOUR_SPECIFIC_PROMPT_HERE'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

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

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Consensus MCP
```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
```

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

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```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 Consensus MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('YOUR_SPECIFIC_PROMPT_HERE')
        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())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Consensus MCP Integration

- Supports both Consensus MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Consensus MCP data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Consensus MCP access
- Per user and per environment credentials instead of hard-coded keys

### 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 ran, when, and on whose behalf

### 4. Enterprise Grade Security

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

## Use Consensus MCP with any AI Agent Framework

Choose a framework you want to connect Consensus MCP with:

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

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## Frequently Asked Questions

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

Yes, Consensus MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

### 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)
