india-markets-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": true
} |
| resources | {
"subscribe": false,
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_quoteB | Latest close, daily change and 52-week range for an NSE symbol (e.g. RELIANCE, TCS, NIFTY). |
| get_signalsC | RSI, volatility, drawdown, 12-1 momentum and a rule-based trend regime for a symbol. |
| compare_symbolsA | Rank 2-10 symbols by return over a period (1mo, 6mo, 1y, 2y, 5y), with volatility and drawdown. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: single-symbol quote data, technical/statistical signals, and multi-symbol comparison. An agent can easily select the right tool based on whether it needs current pricing, derived indicators, or cross-symbol ranking.
All tool names follow a consistent snake_case verb_noun pattern: get_quote, get_signals, compare_symbols. The verbs are appropriate and predictable for their actions.
Three tools is on the lean side but appropriate for a focused market-data analytics server. Each tool earns its place, though additional utility tools may be expected for broader workflows.
The surface covers core quote retrieval, signal analysis, and relative comparison well. Minor gaps exist around symbol discovery, historical time-series access, or broader market/index coverage, but the stated analytics purpose is largely served.