# MoSPI MCP

```json
{
  "name": "MoSPI MCP",
  "slug": "mospi_mcp",
  "url": "https://composio.dev/toolkits/mospi_mcp",
  "markdown_url": "https://composio.dev/toolkits/mospi_mcp.md",
  "logo_url": "https://logos.composio.dev/api/mospi_mcp",
  "categories": [
    "data & analytics"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-09T06:42:30.830Z"
}
```

![MoSPI MCP logo](https://logos.composio.dev/api/mospi_mcp)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with MoSPI MCP or direct API to query official Indian statistics, summarize CPI and IIP trends, compare economic indicators, and extract insights from public datasets through natural language.

## Summary

MoSPI MCP is a natural-language interface for India's official statistics from the Ministry of Statistics and Programme Implementation.
Use it to access trusted government datasets and reports without building custom data connectors.

## Categories

- data & analytics

## Toolkit Details

- Tools: 4

## Images

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

## Authentication

- **No Auth**
  - Type: `custom`
  - Description: No Auth authentication for MoSPI MCP.
  - Setup:
    - Configure No Auth credentials for MoSPI MCP.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Summarize latest Indian CPI inflation trends
- Compare recent IIP growth by sector
- Find unemployment statistics from MoSPI reports

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MOSPI_MCP_GET_DATA` | Get data | Fetches statistical data from a MoSPI dataset. This is the final step of the workflow. It requires filter values from get_metadata — filter codes are arbitrary (e.g., indicator_code=3 means "Unemployment Rate" in PLFS but something different in other datasets). All filter parameters including limit and page go inside the filters dict, not as top-level arguments. Step 4 of: list_datasets → get_indicators → get_metadata → get_data |
| `MOSPI_MCP_GET_INDICATORS` | Get indicators | Returns the full list of available indicators for a given dataset. Datasets often have broader coverage than expected — for example, ASI covers 57 indicators (capital structure, wages, employment, GVA, fuel consumption), and GENDER covers 147 indicators across health, education, labor, and crime. For PLFS and ASUSE, indicators are grouped by frequency_code: - PLFS frequency_code=1 (Annual): all 8 indicators including wages - PLFS frequency_code=2 (Quarterly): indicators 1-3 only - PLFS frequency_code=3 (Monthly): indicators 1-3 only frequency_code selects the indicator set, not time granularity. Step 2 of: list_datasets → get_indicators → get_metadata → get_data |
| `MOSPI_MCP_GET_METADATA` | Get metadata | Returns the valid filter values (states, years, quarters, etc.) for a given dataset and indicator. Filter codes are arbitrary and dataset-specific — for example, PLFS state_code 99 means "All India", and NAS frequency_code 1 means "Annual". These values cannot be inferred or guessed from parameter names alone. The returned filter_values and api_params should be used as-is when calling get_data. Step 3 of: list_datasets → get_indicators → get_metadata → get_data |
| `MOSPI_MCP_LIST_DATASETS` | List datasets | Returns an overview of all MoSPI statistical datasets with descriptions and coverage. This is the starting point ΓÇö call this first to identify the right dataset. The API covers 500+ indicators across employment, prices, industry, national accounts, health, education, disability, housing, environment, trade, and more. Each dataset has its own indicator codes, filter parameters, and valid values ΓÇö these are not standardized and cannot be inferred or guessed from parameter names alone. Four-step workflow (each step depends on the previous): 1. list_datasets() ΓÇö identify the dataset 2. get_indicators(dataset) ΓÇö list available indicators 3. get_metadata(dataset, indicator_code) ΓÇö retrieve valid filter values 4. get_data(dataset, filters) ΓÇö fetch the data Returns: dict with 'datasets' (name, description, use_for for each dataset) and 'workflow' (the four-step sequence). |

## 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 MoSPI MCP Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute MoSPI MCP actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Find the latest CPI inflation data for India and summarize the key trends'
  }]
)
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: 'Find the latest CPI inflation data for India and summarize the key trends'
  }],
});
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 MoSPI 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 MoSPI MCP tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Compare recent Index of Industrial Production growth across major sectors in India')
        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: 'Compare recent Index of Industrial Production growth across major sectors in India'
  }],
  maxSteps: 5,
});

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

## Why Use Composio?

### 1. AI Native MoSPI MCP Integration

- Supports both MoSPI MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable statistical queries
- Rich coverage for searching, reading, and analyzing India's official public statistics

### 2. No Auth Setup

- MoSPI MCP uses public data access, so there's no OAuth flow or API key to configure
- Get your agent querying official Indian statistics right away
- Composio still gives you a clean control plane for sessions, tools, and execution

### 3. Agent Optimized Design

- Tools are tuned for natural-language questions about MoSPI datasets and reports
- Comprehensive execution logs so you always know what ran, when, and on whose behalf
- Cleaner tool schemas help agents avoid messy scraping or brittle custom logic

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access MoSPI MCP
- Scoped access to public MoSPI statistics through approved agent workflows
- Full audit trail of agent actions to support review and compliance

## Use MoSPI MCP with any AI Agent Framework

Choose a framework you want to connect MoSPI MCP with:

- [ChatGPT Work](https://composio.dev/toolkits/mospi_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/mospi_mcp/framework/claude-cowork)

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## Frequently Asked Questions

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

No. MoSPI MCP uses public, no-auth access, so you can start querying India's official statistics through Composio without setting up developer credentials.

### 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)