# How to connect MoSPI MCP to Claude Cowork

```json
{
  "title": "How to connect MoSPI MCP to Claude Cowork",
  "toolkit": "MoSPI MCP",
  "toolkit_slug": "mospi_mcp",
  "framework": "Claude Cowork",
  "framework_slug": "claude-cowork",
  "url": "https://composio.dev/toolkits/mospi_mcp/framework/claude-cowork",
  "markdown_url": "https://composio.dev/toolkits/mospi_mcp/framework/claude-cowork.md",
  "updated_at": "2026-08-09T06:42:30.830Z"
}
```

## Introduction

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.
This guide walks you through the easiest and most secure way to connect your MoSPI account to Cowork via Composio Connect, enabling it to summarize latest Indian CPI inflation trends, compare recent IIP growth by sector, find unemployment statistics from MoSPI reports, and more such actions on your behalf without compromising your account security.

## Also integrate MoSPI MCP with

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

## Connect MoSPI MCP to Claude Cowork

### Connecting MoSPI to Claude Cowork
1. Open Customize
In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.
2. Add the Composio MCP server
Click Add custom connector and paste in the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## What is Claude Cowork?

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.
With Composio Connect, Cowork can securely access apps like MoSPI through MCP without you sharing account credentials directly with the agent.

## What is the MoSPI MCP server, and what's possible with it?

The MoSPI MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your MoSPI account. It provides structured and secure access so your agent can perform MoSPI operations on your behalf.

## 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.

## Creating MCP Server - Stand-alone vs Composio SDK

The MoSPI MCP server connects Claude Cowork to your MoSPI account through Composio. Once connected, Cowork can use the available MoSPI tools and triggers to complete tasks on your behalf.

## Complete Code

None listed.

## How to build MoSPI MCP Agent with another framework

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

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and MoSPI MCP?

With a standalone MoSPI MCP server, the agents and LLMs can only access a fixed set of MoSPI tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from MoSPI and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Claude Cowork?

Yes, you can. Claude Cowork fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right MoSPI tools.

### Can I manage the permissions and scopes for MoSPI while using Tool Router?

Yes, absolutely. You can configure which MoSPI scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your MoSPI data and credentials are handled as safely as possible.

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