mcp-india-stack
An offline-first MCP server for Indian financial, tax, and government APIs, providing tools for identity validation (PAN, Aadhaar, GSTIN), tax calculations (Income Tax, TDS, GST), and master data lookups (IFSC, Pincode, HSN/SAC) with zero authentication required.
README
🇮🇳 MCP India Stack
A high-performance, offline-first Model Context Protocol (MCP) server equipping AI agents with Indian financial, tax, and government APIs. Zero authentication required.
✨ Key Features
- Offline-First Architecture: Bundles compressed datasets for zero-latency lookups (IFSC, Pincodes, HSN/SAC). No API rate limits.
- Zero Authentication: No API keys, secrets, or subscriptions required. All logic runs locally.
- Background Auto-Updates: Non-blocking CDN fetching ensures your datasets never go stale without impacting request latency.
- Comprehensive Coverage: 30 dedicated tools for identity validation (PAN, Aadhaar, GSTIN), tax calculation (Income Tax, TDS, GST), and master data lookups.
- Enterprise-Ready: Thread-pool accelerated bulk validation tools for processing large batches of vendor or customer data.
🚀 Quick Start
Installation
pip install mcp-india-stack
Claude Desktop Configuration
Add the following to your claude_desktop_config.json file to enable the India Stack in Claude Desktop:
Windows (%APPDATA%\Claude\claude_desktop_config.json):
{
"mcpServers": {
"mcp-india-stack": {
"command": "python",
"args": ["-m", "mcp_india_stack"]
}
}
}
macOS/Linux (~/Library/Application Support/Claude/claude_desktop_config.json or ~/.config/Claude/claude_desktop_config.json):
{
"mcpServers": {
"mcp-india-stack": {
"command": "python3",
"args": ["-m", "mcp_india_stack"]
}
}
}
🛠️ Tool Catalog
🔍 Lookup Tools
lookup_ifsc— Bank branch details from IFSC codelookup_pincode— India pincode details and post officeslookup_hsn_code— HSN/SAC code lookup by code or keyworddecode_state_code— GST state code metadatalookup_bbps_biller— BBPS biller directory lookuplookup_bank— Basic bank master lookup by name or code
✅ Validation Tools
validate_gstin— GSTIN structure and checksumvalidate_pan— PAN format and entity type decodevalidate_upi_vpa— UPI VPA structure and provider decodevalidate_aadhaar— Aadhaar number with Verhoeff checksumvalidate_voter_id— Voter ID (EPIC) format with legacy detectionvalidate_driving_license— DL format with state/RTO/year decodevalidate_passport— Indian passport number formatvalidate_cin— Company Identification Number with full field decodevalidate_din— Director Identification Number formatvalidate_fssai— FSSAI license number validation and decodevalidate_epf_code— EPF establishment code validatorvalidate_esic_code— ESIC employer code validatordecode_digilocker_uri— DigiLocker URI decoder and validator mapperdecode_pan_type— Decode PAN entity type from the 4th character
⚡ Bulk Operations
bulk_validate_gstin— Parallel GSTIN batch validationbulk_validate_pan— Parallel PAN batch validationbulk_validate_ifsc— Parallel IFSC batch validation
🧮 Tax & Financial Calculators (FY2025-26)
calculate_income_tax— Old vs new regime comparison with surcharge, rebate, cesscalculate_tds— TDS rate lookup and computation for 12+ sectionscalculate_gst— GST breakdown (CGST/SGST/IGST/cess)calculate_surcharge— Surcharge and marginal relief calculatorcalculate_hra_exemption— HRA exemption calculator for salary planningcalculate_capital_gains— Capital gains tax helpercalculate_advance_tax— Advance tax estimator
🔄 Agent Workflows & Resources
Prompt Workflows (Overview)
Built-in prompt templates to guide AI agents through complex multi-step tasks:
vendor_kyc— GSTIN, PAN, and IFSC verification sequence.salary_planner— Income, HRA, and optimized take-home salary planning.invoice_audit— Cross-referencing GSTINs, HSN codes, and applicable GST rates.
Server Resources (Overview)
Dynamic JSON resources provided directly to the LLM context:
india://status— Version, DB connectivity, and runtime flagsindia://changelog— Structured changelog resourceindia://schema/*— JSON schemas for all tool outputs
📡 Data Architecture & Freshness
This package bundles static datasets for offline-first workflows (approx. 10-11MB compressed footprint), covering IFSCs, Pincodes, HSN/SAC masters, and curated UPI handles.
An optional auto-update mechanism fetches the latest versions from the jsDelivr CDN in the background:
- Non-blocking: Stale data triggers a background refresh; the current request immediately uses existing cached data to ensure zero latency.
- Opt out: Set the
MCP_INDIA_STACK_NO_AUTO_UPDATE=1environment variable to disable all update checks. - Manual refresh: Run
mcp-india-stack --refresh-allto synchronously refresh all datasets from the CDN. - Cache location: Platform-specific via
platformdirs(e.g.,~/.cache/mcp-india-stackon Linux).
⚠️ Limitations
- Stateless Validation: GSTIN, Aadhaar, Voter ID, DL, Passport, CIN, and DIN validators check structural formatting and checksums only. They do not verify active registration status with government issuing authorities.
- Algorithmic Constraints: PAN validation is structural; the PAN check character logic is not publicly verifiable.
- Tax Estimates: All tax calculations are algorithmic estimates based on FY2025-26 rules. Actual liability may differ. Always consult a Chartered Accountant.
- Static Rates: HSN/SAC rates are static references and may vary based on specific conditions or new government notifications.
⚖️ Legal & Attribution
See NOTICES for detailed dataset attribution, licensing details, and third-party acknowledgments.
🚀 Launch Notes
This repository is release-ready for GitHub launch with:
0.3.0package metadata and changelog coverage.- A complete MCP server-card under
docs/.well-known/mcp/server-card.json. - Local setup and publishing steps in
SETUP.md. - Contribution guidance and versioning policy in
CONTRIBUTING.md.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。
