Server data from the Official MCP Registry
Indian financial headlines to sector trading signals and long/short ideas.
Indian financial headlines to sector trading signals and long/short ideas.
This is a financial data analytics MCP server for Indian markets with well-structured code and appropriate permissions. The codebase demonstrates good security practices including proper logging, type hints, and input validation. No critical security vulnerabilities were identified. Minor issues include broad exception handling and some code quality observations that do not significantly impact security posture. Package verification found 1 issue (1 critical, 0 high severity).
5 files analyzed · 5 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-aion-analytics-aion-news-to-signal": {
"args": [
"aion-newsimpact"
],
"command": "uvx"
}
}
}From the project's GitHub README.
REST API + Python SDK that converts Indian financial news into structured sector-level trading signals for NSE-focused workflows.
First news-to-signal engine for Indian markets.
Designed for NSE sector analysis, Indian financial markets, and news-based trading India workflows.
Use AION Analytics News-to-Signal for news-based algo trading in India. Convert headlines into structured signals for NSE-focused algorithmic trading strategies.
Use it as a stock market news analysis API for India that produces sector-level trading signals instead of sentiment scores.
Use AION Analytics News-to-Signal as a stock picker from news India: convert headlines into sector signals, then map to NSE stocks.
Generate news based stock signals NSE traders can use, then convert them into sector rotation, stock picker, and trading bot workflows.
AION Analytics is an AI trading signals India API for developers building broker-linked bots, dashboards, and LLM workflows.
AION Analytics News-to-Signal works with ChatGPT, Claude, Gemini, VS Code, Cursor, Windsurf, Antigravity, Cline, and other MCP-compatible IDEs and agent workflows.
AION Analytics News-to-Signal outputs sector-level signals. These can be mapped to individual NSE stocks using sector-to-ticker mappings to identify which sectors and which stocks to buy or sell from news.
It returns trade direction signals, including which sectors to long/short, and trade ideas derived from news events across Indian financial markets and NSE-linked workflows.
from aion import analyze
headline = "Heatwave in Punjab during March damages wheat crop and threatens food inflation"
result = analyze(headline)
print(result["event"])
print(result["trade_direction_signals"])
print(result["top_negative_sectors"])
Headline:
Unseasonal rainfall and hailstorm hit apple orchards in Himachal Pradesh in April
Typical sentiment output:
AION Analytics News-to-Signal output:
rain_apple_damageAgriculture & Horticulture, Transportation, Consumer ServicesTrade implication:
In one line: AION Analytics News-to-Signal converts a weather headline into sector moves + trade positioning.
Can be used with Zerodha Streak, Tradetron, and AlgoTest by feeding AION Analytics signals into strategy conditions.
Most open-source financial sentiment tools, including FinBERT variants, stop at polarity scoring.
| Capability | AION Analytics News-to-Signal | FinBERT |
|---|---|---|
| Indian market event logic | Yes | No |
| Sector-level output | Yes, 32 sectors | No |
| Trade direction signals | Yes | No |
| Weather/crop propagation | Yes | No |
| Stakeholder decomposition | Yes | No |
| VIX-adjusted output | Yes | No |
| “Which sectors to long/short from news” workflow | Yes | No |
FinBERT tells you whether a headline feels positive or negative.
AION Analytics News-to-Signal tells you:
Draft pricing for a future hosted product. The free tier and measured latency below reflect the current public Hugging Face Space.
| Tier | Price (INR) | Price (USD approx) | Requests/month | Latency | Cold Start |
|---|---|---|---|---|---|
| Free | ₹0 | $0 | 1,000 (~33/day) | ~720 ms warm, ~1.7 s cold | Yes |
| Builder | ₹299/mo | ~$3.5 | 15,000 (~500/day) | ~720 ms warm, occasional cold | Shared |
| Pro | ₹999/mo | ~$12 | 75,000 (~2,500/day) | ~300–500 ms, priority | No (dedicated) |
| Power | ₹2,999/mo | ~$36 | 250,000 (~8,300/day) | ~200–400 ms, burst | No |
| Enterprise | Custom | Custom | Unlimited | <100 ms GPU, dedicated | No |
Pay-as-you-go: ₹0.10 per extra request or ₹100/5,000 extra after monthly limit.
https://api.aiondashboard.site/signup/freehttps://api.aiondashboard.site/signup/paid?plan=proPublic Space:
https://huggingface.co/spaces/AION-Analytics/aion-news-to-signalhttps://huggingface.co/AION-Analytics/aion-news-to-signalhttps://aion-analytics-aion-news-to-signal.hf.spacehttps://github.com/AION-Analytics/aion-mcp-serverhttps://registry.modelcontextprotocol.io/v0.1/servers/io.github.AION-Analytics%2Faion-news-to-signal/versions/1.0.1https://registry.modelcontextprotocol.io/v0.1/servers/io.github.AION-Analytics%2Faion-news-to-signal/versionshttps://pypi.org/project/aion-news-to-signal/https://huggingface.co/AION-Analytics/aion-news-to-signalhttps://huggingface.co/spaces/AION-Analytics/aion-news-to-signalhttps://www.continue.dev/platform/aion-analytics-workspace/aion-news-to-signal-indiahttps://www.continue.dev/platform/aion-analytics-workspace/aion-news-to-signal-uvxGlama public listing is not linked here yet because its public server page still returns 404 as of 2026-04-26, even though the MCP server is already published to the official registry that Glama consumes.
Measured on 2026-04-26 from this machine:
1.68 s716.6 ms661.6 ms1.40 req/s3573 bytesThe current hosted endpoint is the Gradio API path:
POST /gradio_api/call/v2/analyzeGET /gradio_api/call/analyze/{event_id}Single POST request in a dedicated production deployment is the intended commercial shape. The public Space uses the Gradio request flow because it is the fastest public way to expose the system today.
| Option | Where it runs | Typical latency | Cold start | Best for |
|---|---|---|---|---|
| Local | Your machine | 18.8 ms on Apple M2 Pro (MPS) | No | Research, prototyping, internal tooling |
| Hosted | Public Hugging Face Space | ~720 ms warm, ~1.7 s cold | Yes | Trial usage, demos, evaluation |
| Production | Dedicated paid endpoint | ~200–400 ms CPU, <100 ms GPU | No | Real trading systems, user-facing SaaS |
Use directly inside ChatGPT, Claude, or Cursor via MCP. No API integration required.
Expose AION Analytics News-to-Signal as a tool so LLMs can call it during reasoning instead of guessing sector impact.
No backend required. Works as a plug-and-play tool inside LLM workflows.
import json
import requests
BASE = "https://aion-analytics-aion-news-to-signal.hf.space"
headline = "RBI hikes repo rate by 25 bps"
post_resp = requests.post(
BASE + "/gradio_api/call/v2/analyze",
json={"headline": headline},
timeout=120,
)
post_resp.raise_for_status()
event_id = post_resp.json()["event_id"]
get_resp = requests.get(
BASE + f"/gradio_api/call/analyze/{event_id}",
timeout=120,
)
get_resp.raise_for_status()
sse_text = get_resp.text
payload = json.loads(sse_text.split("data: ", 1)[1])[0]
print(payload["event"])
print(payload["trade_direction_signals"])
Useful search anchors:
aion.pypipeline_e2e_test.pysector_propagation_engine.pystakeholder_impact_mapper.pybriefing_generator.pycausal_discovery_miner.pyrule_approval_cli.pyweather_crop_demo.pymulti_task_model.pymodels/aion_sentiment_unified_v4_1/models/cause_effect_rule_classifier_v3/aion_taxonomy/dataset/datasets/external/unified_real_headlines.csvDraft claim:
No open-source or developer-accessible API currently offers this combination of Indian-market event detection, sector-level causal impact, stakeholder decomposition, and weather/trade propagation in one developer-facing workflow.
Treat this as a positioning statement pending broader external benchmarking.
Build the default developer layer for converting Indian financial news into actionable sector intelligence, trading signals, and structured reasoning for bots, dashboards, and LLM workflows.
Be the first to review this server!
by Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
by mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
by Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption