Quant Brain Mcp

io.github.paarths-collabPublished by GitHub account paarths-collabv1.0.0Updated Oct 26, 2026

Stock analysis MCP: 38 indicators, 7 optimizers, 8 backtests, US + India sectors.

The publisher's own server: BrainDog

VerifiedStreamable HTTPWeb executableFinanceData & AnalyticsAI & ML

Overview

AI-generated overview

Stock analysis MCP server for quotes, indicators, portfolio optimization, backtests and multi-agent NSE research reports.

What you can do
  • Run quotes, news, trade sizing, watchlist scans and persistent price alerts
  • Compute 38 technical indicators through six grouped tools
  • Optimize portfolios with seven methods and evaluate them on holdout data
  • Run rule-based backtests and generate chart packs as rendered images
  • Get company profiles, sector rankings and sector-to-stock pipelines
  • Start, poll, cancel and retrieve multi-agent research jobs with evidence and audit traces
When to use it
Useful when you want an assistant to do quantitative market analysis, compare symbols, size hypothetical trades, or produce an audited research report on Indian equities with cited evidence and stated limitations.
Requirements
Remote streamable HTTP endpoint; the hosted deployment requires an operator-issued bearer token. Running the research runtime locally needs Python 3.12 with the project's requirements files, Codex sign-in for the research roles, and a separate MCP bearer token for the client. Claude Desktop/web remote connectors need a reachable HTTPS endpoint, not localhost.
Before you install
The hosted endpoint needs a bearer token issued by the operator, and the research runtime holds Codex sign-in credentials. Research jobs send questions and retrieved sources to live web search and to Codex models. Data can be delayed or unavailable, and retrieval times are not verified trade timestamps. Backtests and portfolio holdout results are historical and omit fees, slippage, taxes and currency conversion; trade sizing can lose more than modeled. No order execution is offered, but alerts…

Installation

In SourceWeft

  1. Open Quant Brain Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.paarths-collab%2Fquant-brain-mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "quant-brain": {
      "type": "http",
      "url": "https://mcp-quant-brain.onrender.com/mcp"
    }
  }
}

README

This repository has no README.

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

70% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • License10 pts

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