# nicodishanthj/icici-direct-mcp-server

> An HTTP-wrapped MCP server for accessing the ICICI Direct Breeze API, a brokerage API for trading on Indian exchanges. It lets LLM agents call trading tools via MCP.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 0 total · Not enough measurements today
- Star trust: star growth looks organic
- Category: Finance & crypto · Created: 2025-03-22 · Last push: 2025-10-05
- GitHub: https://github.com/nicodishanthj/icici-direct-mcp-server · Page: https://gitnova.dev/en/r/nicodishanthj/icici-direct-mcp-server

## Useful for

- Connect the MCP server to an agent to call ICICI Direct Breeze tools
- Run the server locally or in Docker with the ICICI_API_KEY
- Deploy the server to Google Cloud Run for remote access

## Why it’s here

- There are not enough fresh counter measurements for today's UTC day. The gain is unknown.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 0
- Issues and pull requests: 0
- Watchers: 1
- Average over the last week: 0 per day
- Usual pace: 0 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-06 … 2026-11-04: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

10-22 0.0, 10-23 0.0, 10-24 0.0, 10-25 0.0, 10-26 0.0, 10-27 0.0, 10-28 0.0, 10-29 0.0, 10-30 0.0, 10-31 0.0, 11-01 0.0, 11-02 0.0, 11-03 0.0, 11-04 0.0

## Similar by description

1. **lukeplausin/mcp-server-trading212** — 0.0 · Quiet · Python · Not enough measurements today
   A Model Context Protocol (MCP) connector tool for interfacing agentic AI with the Trading212 broker
   Full card: https://gitnova.dev/en/r/lukeplausin/mcp-server-trading212.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-11-04 10:53 UTC, updated every 30 minutes.