MoSPI MCP
India's official statistics from the Ministry of Statistics and Programme Implementation, queryable via natural language.
Verdict
Common use cases
- Pull GDP and inflation data for market reports
- Compare state-level education statistics across years
- Track employment trends for policy briefs
- Validate census figures in research papers
- Build dashboards with authoritative Indian economic data
Integration
- Vendor
- MoSPI MCP
- Category
- developer-tools
- Auth
- NONE
- Composio slug
mospi_mcp
Tools
Setup
Setup guide
- 11. Open your Switchy workspace and navigate to Settings > Integrations. 2. Search for 'MoSPI MCP' in the available integrations list and click Add. 3. No authentication is required—the integration connects immediately since MoSPI data is publicly accessible. 4. Return to any Project and type '@MoSPI' in the chat to confirm the connection is live. 5. Test it by asking '@MoSPI what's the latest GDP growth rate for India?' or '@MoSPI show me state-wise literacy rates from the most recent census'. 6. The MCP will return structured data with source attribution and timestamps. 7. If a query returns no results, try broadening your request—some datasets use specific terminology or have limited historical range.
What teammates see: by default, memories from MoSPI MCP are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Projects have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
GDP Growth Snapshot
@MoSPI fetch the most recent quarterly GDP growth rate for India and break it down by sector.
State Literacy Comparison
@MoSPI show me literacy rates for all Indian states from the latest census, sorted highest to lowest.
Inflation Trend Check
@MoSPI what's the consumer price inflation trend over the past 12 months, and which categories drove the change?
Employment Statistics Pull
@MoSPI get the latest employment and unemployment rates, broken down by urban and rural areas.
Census Demographics Query
@MoSPI pull the most recent census data on age distribution and gender ratio across major states.
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@MoSPI what was India's GDP growth rate in the last available quarter, and how does it compare to the previous year?
Based on MoSPI's latest quarterly estimates, India's GDP grew 7.6% year-over-year in Q2 2024, compared to 7.8% in Q2 2023. The slight moderation reflects slower manufacturing growth (5.2% vs 6.1%), while services maintained momentum at 8.1%. Agriculture posted 1.7% growth. These figures are provisional and subject to revision in subsequent releases.
This example shows the MCP retrieving official economic indicators from India's Ministry of Statistics. MoSPI data releases follow a fixed calendar with provisional estimates updated quarterly. Users should verify the reference period since the MCP returns the most recent published dataset, which may lag real-time by 6-8 weeks.
@MoSPI pull the state-wise unemployment rates for urban areas in 2023, then rank the top 5 states with the highest rates.
From the Periodic Labour Force Survey (PLFS) 2023 annual report: Haryana leads urban unemployment at 9.2%, followed by Rajasthan (8.8%), Jammu & Kashmir (8.5%), Bihar (8.1%), and Tripura (7.9%). The all-India urban unemployment rate stands at 6.8%. Note that these are usual status unemployment rates for persons aged 15+ years, measured over a 365-day reference period.
This demonstrates the MCP's ability to extract granular survey data and perform comparative analysis. MoSPI's PLFS methodology changed in 2017-18, so year-over-year comparisons with earlier surveys require methodological adjustments. The MCP accesses published reports, not raw microdata, so custom tabulations beyond published tables aren't available.
@MoSPI compare India's consumer price inflation trends across food and non-food categories over the past 12 months, and flag any concerning divergences.
Over the past year, food inflation averaged 6.8% while non-food inflation held at 4.2%, creating a 2.6 percentage point gap. The divergence widened in July-September 2024 when vegetable prices spiked (tomatoes +40% month-over-month in July). This pattern suggests supply-side pressures in agriculture rather than broad demand-pull inflation. Core inflation (excluding food and fuel) remained stable at 3.8%, within the RBI's tolerance band.
This synthesis example shows the MCP interpreting CPI data across categories to surface economic insights. MoSPI publishes CPI with a one-month lag, so 'past 12 months' means the most recent 12 published data points. The MCP can identify trends but cannot predict future movements or access unpublished advance estimates.
Use-case deep-dives
When MoSPI MCP fits early-stage India expansion research
A 5-person product team exploring the Indian market needs demographic and economic data to size opportunity. MoSPI MCP pulls official statistics from India's Ministry of Statistics without auth overhead, which beats scraping PDFs or paying for third-party datasets. The win is speed: you get census figures, labor force stats, and GDP breakdowns in minutes instead of days. The threshold: if you need real-time data or sub-district granularity, MoSPI's quarterly release cycle and state-level aggregation won't cut it. This MCP is the right call when you're validating a hypothesis in a pitch deck, not building a live dashboard. If your team references Indian government data more than once a quarter, add it to your shared workspace.
MoSPI MCP as a macro-context layer for India GTM
A 3-person founding team building B2B SaaS wants to understand which Indian states have the highest SME density and digital adoption. MoSPI MCP surfaces industrial output, internet penetration, and business registration trends from official sources. The advantage: no vendor lock-in, no API keys, and the data is citation-ready for investor decks. The limit: MoSPI doesn't track private-sector metrics like SaaS spend or cloud adoption, so you'll still need Crunchbase or Tracxn for startup-specific intel. Use this MCP when you need the macro story to frame your micro bets. If your go-to-market motion depends on government policy or regional economic shifts, this belongs in your research stack.
When MoSPI MCP speeds up evidence-based proposals
A 6-person nonprofit writing grants for education or healthcare programs in India needs credible statistics on literacy rates, poverty lines, and public health outcomes. MoSPI MCP delivers Ministry-published data that funders recognize as authoritative, cutting the sourcing step from hours to minutes. The payoff: your team spends less time hunting citations and more time crafting the narrative. The boundary: if your program targets hyperlocal geographies or real-time outcomes, MoSPI's aggregated annual reports won't have the resolution you need. This MCP is the right fit when your proposals cite national or state-level trends and you write more than two grants a year. Add it to your workspace if you're tired of digging through government PDFs.
Frequently asked
What does the MoSPI MCP integration do in Switchy?
The MoSPI MCP connects Switchy to India's Ministry of Statistics and Programme Implementation datasets. Your team can query economic indicators, census data, and government statistics directly in conversations without switching to the MoSPI portal. It's useful for research teams, policy analysts, and anyone building data products that reference Indian socioeconomic metrics.
Do I need API credentials to connect MoSPI MCP?
No. MoSPI MCP requires no authentication — it accesses publicly available government datasets. You install it in Switchy with one click and start querying immediately. There's no API key to manage, no OAuth flow, and no risk of credential expiry breaking your workflows.
Can MoSPI MCP access real-time or historical data?
It depends on what MoSPI publishes. Most datasets are historical — quarterly GDP, annual census figures, monthly inflation indices. Real-time data is rare in government statistics. If you need live economic feeds, you're better off with a commercial data provider like Bloomberg or FRED.
How is this different from just visiting the MoSPI website?
The MoSPI website requires manual navigation through PDFs and Excel files. This MCP lets your AI assistant query structured datasets programmatically and return answers in seconds. You skip the download-parse-analyse loop. For one-off lookups, the website is fine. For repeated analysis, the MCP saves hours.
Who on my team should set up the MoSPI integration?
Anyone can install it — there's no admin gating since it's a public data source. If your team has a data lead or policy researcher who knows which MoSPI datasets matter, let them configure it first. They'll set up the right queries so everyone else can just ask questions.