28 financial tools for your AI agent

MCP Server for Financial TradingConnect Pineify to Your AI Agent

The Pineify MCP server gives Claude, ChatGPT, Cursor, and any MCP-compatible AI agent direct access to 28 read-only financial tools. Validate Pine Script, MQL5, MQL4, cTrader C#, and NinjaScript, research stocks, scan options flow, track dark-pool prints and Congress trades, and build repeatable market-analysis workflows without leaving your agent.

Model Context Protocol, explained

What is an MCP server and why does your AI agent need one?

The Model Context Protocol (MCP) is an open standard that lets AI assistants call external tools and data sources through a unified interface. Instead of pasting data into a chat window, your agent calls the MCP server directly to fetch structured results. The Pineify MCP server implements this protocol specifically for financial trading, exposing multiple read-only tools that cover code validation, stock research, options flow, and market analysis.

Standardized protocol

MCP is an open standard. Any MCP-compatible client can connect to the Pineify server with one configuration prompt.

Read-only and safe

All tools are read-only and non-destructive. Your agent can fetch data and run analysis but cannot place trades or modify positions.

Remote, no local setup

The Pineify MCP server runs as a remote Streamable HTTP endpoint. No Python, no local install, no infrastructure to manage.

28 tools across 4 categories

Give your AI agent a financial toolbelt

Every tool is read-only, returns structured data, and is designed for LLM consumption. Your agent calls them automatically when you ask a financial question.

Write and validate code

Check Pine Script, MQL5, MQL4, cTrader C#, and NinjaScript before you ship.

Pine Script syntax checker

pine-script-syntax-checker

Check TradingView Pine Script and return normalized diagnostics without changing the source.

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Use Pineify to check this Pine Script v6 code and explain every diagnostic.

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MQL5 syntax checker

mql5-syntax-checker

Check a standalone MQL5 script or a multi-file project with MetaEditor.

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Use Pineify to compile-check this MQL5 Expert Advisor project.

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MQL4 syntax checker

mql4-syntax-checker

Check a standalone MQL4 script or a bounded multi-file project with MetaEditor.

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Use Pineify to compile-check this MQL4 Expert Advisor project.

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cTrader C# syntax checker

ctrader-csharp-syntax-checker

Check a cTrader C# cBot or indicator for compiler and cTrader API errors.

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Use Pineify to check this cTrader C# cBot and explain every diagnostic.

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NinjaScript syntax checker

ninjascript-syntax-checker

Run an external static/API compile check on one NinjaTrader 8 Indicator or Strategy source.

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Use Pineify to check this complete NinjaScript Indicator and explain every diagnostic.

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Research markets and companies

Find candidates and examine company fundamentals and events.

Find AI stock picks

find-ai-stock-picks

Find a bounded ranked list of USA stock candidates for a supported strategy.

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Use Pineify to find five low-risk USA stock candidates from the latest snapshot.

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Get an AI stock rating

get-ai-stock-rating

Retrieve the latest available rank, score breakdown, and supporting metrics for one ticker.

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Use Pineify to get the latest AI stock rating for AAPL.

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Get a stock research snapshot

get-stock-research-snapshot

Compare fundamentals, quality, growth, valuation, and expectations for up to five companies.

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Use Pineify to compare the latest research snapshots for AAPL and MSFT.

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Research one stock deeply

research-stock

Combine bounded business, financial, valuation, technical, options-risk, activity, and catalyst facts for one exact US company or ADR.

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Use Pineify to research AAPL at compact detail on the 1d timeframe, including coverage gaps and bull/bear evidence without a recommendation.

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Analyze financial data

Read technical, options, dark-pool, sector, and market flow.

Find options flow alerts

find-options-flow-alerts

Find recent unusual US options-flow alerts for selected symbols or high-signal filters.

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Use Pineify to find recent high-premium options flow alerts for TSLA.

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Get option contract flow

get-option-contract-flow

Drill into recent prints and the latest available Greeks for an exact contract ID.

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Use Pineify to inspect recent prints for this option contract ID.

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Find dark-pool trades

find-dark-pool-trades

Find recent large dark-pool prints market-wide or for one US ticker.

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Use Pineify to find the largest recent dark-pool trades for SPY.

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Find Congress trades

find-congress-trades

Find recent, late, or politician-specific US congressional trade disclosures.

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Use Pineify to summarize the latest reported congressional trades in NVDA.

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Get market tide

get-market-tide

Read broad US options-flow direction and the symbols driving the latest market snapshot.

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Use Pineify to explain today’s market tide and its top-impact symbols.

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Get a sector flow snapshot

get-sector-flow-snapshot

Compare bullish and bearish options flow across the fixed eleven-sector universe.

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Use Pineify to rank sectors by net options flow for the latest session.

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Find technical setups

find-technical-setups

Scan a supported US stock universe with one of six fixed technical-setup presets and return at most 25 evidence-backed matches.

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Use Pineify to scan the S&P 500 for up to five 1d bullish-trend setups and show the required evidence.

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Build repeatable agent workflows

Run bounded market, portfolio, scanner, and earnings workflows.

Get stock event context

get-stock-event-context

Build a bounded briefing from recent company events, analyst actions, and upcoming earnings.

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Use Pineify to build a sourced 72-hour event briefing for AMD.

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Generate a market briefing

generate-market-briefing

Build a bounded latest-available US market briefing across major indexes, breadth, sectors, movers, events, news, activity, and technical context.

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Use Pineify to generate a compact US market briefing and identify any partial or stale sections.

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Analyze portfolio risk

analyze-portfolio-risk

Analyze 1–15 positive long USD positions in active US companies or ADRs for concentration, correlation, volatility, earnings, and options-risk facts without caching the portfolio result.

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Use Pineify to analyze this AAPL and MSFT long portfolio for concentration, correlation, volatility, and event risk without suggesting allocations.

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Analyze earnings

analyze-earnings

Review one company’s upcoming earnings, bounded history, surprise statistics, close-to-close reactions, expectations, and optional IV-based event risk.

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Use Pineify to analyze AAPL earnings at compact detail and explain the one-standard-deviation IV estimate and coverage gaps.

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Suggest an options strategy

suggest-options-strategy

Build up to three bounded defined-risk structures with quote-derived pricing only when every leg has coherent bid and ask data.

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Use Pineify to suggest a balanced bullish 1m options structure for AAPL and keep unavailable pricing null.

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Track smart-money evidence

track-smart-money

Compare options, dark-pool, Congress, insider, and quarterly 13F evidence without netting incompatible units.

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Use Pineify to track 30d smart-money evidence for AAPL and separate every source timeline.

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Analyze sector rotation

analyze-sector-rotation

Rank the fixed eleven US GICS sector ETF proxies against SPY using adjusted 5, 21, and 63 trading-day evidence.

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Use Pineify to analyze 3m sector rotation and preserve all eleven coverage states.

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Validate a trading idea

validate-trading-idea

Run one of six fixed long-only daily presets across three variants with chronological development and holdout results.

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Use Pineify to validate the AAPL RSI mean-reversion preset over 5y.

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Screen stocks

screen-stocks

Apply ordered AND filters from a fixed fundamental, sector, and 1d technical registry to a canonical US index universe.

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Use Pineify to screen the S&P 500 for market cap at least $1B and P/E below 30.

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Detect the market regime

detect-market-regime

Classify the US market from five bounded dimensions and return insufficient when required evidence is unavailable.

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Use Pineify to detect the medium-term market regime and show every dimension.

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Optimize a portfolio scenario

optimize-portfolio

Compare a deterministic long-only historical model scenario with current weights under explicit constraints without caching the result.

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Use Pineify to model a minimum-volatility SPY and QQQ portfolio with a 30% turnover cap.

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From setup to first call

One prompt connects Pineify to your agent

No JSON config files to edit. No Python to install. Copy one prompt, send it to your agent, and start calling financial tools in under a minute.

  1. 01

    Copy the setup prompt

    Open the MCP page in the Pineify app and copy the prompt. It already contains your remote endpoint URL and private authentication token.

  2. 02

    Send it to your AI agent

    Paste the prompt into Claude, ChatGPT, Cursor, or any MCP-compatible client. Your agent installs the Pineify MCP server at the user level automatically.

  3. 03

    Verify the available tools

    Your agent lists the available tools and runs a safe read-only check. You can then ask it to analyze stocks, validate Pine Script, MQL5, MQL4, cTrader C#, or NinjaScript, find options flow, and more.

Ready to connect?

Open the MCP setup page in the Pineify app to copy your prompt and start using all 28 tools.

Open MCP Setup

Built for trading workflows

What you can do with the Pineify MCP server

From code validation to pre-market briefings, the 28 tools cover the research and analysis loop active traders need.

Validate Pine Script v6, MQL5, MQL4, cTrader C#, and NinjaScript code before publishing

Compare AI stock ratings and research snapshots for up to five tickers in one conversation

Scan unusual options flow alerts and dark-pool prints without leaving your AI agent

Track congressional trade disclosures by politician, ticker, or party

Read market tide and sector flow direction for a quick pre-market briefing

Build a 72-hour event briefing with analyst actions and upcoming earnings for any ticker

Run technical analysis across multiple timeframes and get structured indicator readings

Validate a fixed trading idea with chronological development and holdout windows

Screen a canonical stock universe, classify the market regime, and test portfolio constraints

Create repeatable research workflows your agent can execute on a schedule

Code validation

Check Pine Script v6, MQL5, MQL4, cTrader C#, and NinjaScript before publishing. Your agent uses structured diagnostics to guide each revision.

Stock research

Compare AI ratings, research snapshots, and fundamentals for up to five tickers in one conversation.

Flow analysis

Scan options flow alerts, dark-pool prints, and market tide without switching to a separate terminal.

Event tracking

Pull Congress trade disclosures and 72-hour company event briefings with analyst actions and earnings dates.

Pineify MCP vs. alternatives

Pineify MCP vs. Generic Financial MCP vs. Manual Research

I compared the Pineify MCP server against typical open-source financial MCP servers and manual research workflows. Here is what I found.

FeaturePineify MCPGeneric Financial MCPManual Research
Pine Script syntax checkingBuilt-in v6 checkerRarely availableManual upload to TradingView
MQL5 syntax checkingMulti-file MetaEditor checkNot availableOpen MetaEditor separately
MQL4 syntax checkingStandalone or bounded multi-file MetaEditor checkNot availableOpen MetaEditor separately
cTrader C# syntax checkingcBot and indicator compiler/API checkNot availableOpen cTrader separately
Options flow alertsReal-time unusual flow scanBasic or delayedSubscribe to a flow service
Dark-pool trade trackingMarket-wide or per-tickerLimited coverageSeparate dark-pool platform
Congress trade disclosuresPolitician-specific searchRarely availableManual SEC filing review
AI stock ratingsRanked with score breakdownRaw fundamentals onlyBuild your own scoring model
Setup timeOne setup promptClient-specific configurationMultiple tools and logins
Tool count28 read-only toolsVaries (10-42)N/A
TransportRemote Streamable HTTPLocal stdio or SSEN/A

Pineify MCP is not a replacement for doing your own research. It keeps code validation, market context, screening, and portfolio analysis in one read-only agent workflow. Pair it with our AI stock picker and AI chart analysis for a complete pre-trade workflow.

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Frequently asked questions

Pineify MCP Server FAQ

Answers for developers and traders comparing MCP servers for financial trading, AI agent integration, and trading-code validation.

What is an MCP server for financial trading?

An MCP (Model Context Protocol) server for financial trading is a standardized bridge that lets AI assistants like Claude, ChatGPT, and Cursor call real market-data tools directly. Instead of copying data into a chat prompt, your AI agent calls the MCP server to fetch technical analysis, options flow, dark-pool prints, Congress trades, stock ratings, and other structured financial data on demand.

How does the Pineify MCP server work?

The Pineify MCP server runs as a remote Streamable HTTP endpoint at https://agents.pineify.app/mcp. You authenticate every request with a Bearer token tied to your Pineify Expert Plan. Once connected, your AI agent can call 28 read-only tools covering trading-code validation, stock research, market flow, strategy validation, stock screening, market regimes, and portfolio analysis.

Which AI tools and agents support the Pineify MCP server?

The Pineify MCP server works with any MCP-compatible client, including ChatGPT, Claude, Claude Code, Cursor, Codex, Gemini, Grok, Zed, and OpenClaw. You copy one setup prompt that contains your endpoint URL and private token, send it to your agent, and the agent configures the connection automatically.

Is the Pineify MCP server free?

The Pineify MCP server requires an Expert Plan subscription. Expert Plan includes access to all MCP tools, the remote MCP endpoint, and your private authentication token. You can view current plan limits and pricing in the pricing section on this page.

Can the Pineify MCP server execute trades or modify my portfolio?

No. All Pineify MCP tools are read-only and non-destructive. They retrieve market data, research snapshots, and analysis context. They cannot place orders, modify positions, or execute trades. The tools are designed for research and analysis within your AI agent workflow.

What is the difference between Pineify MCP and a generic financial MCP server?

Pineify MCP is purpose-built for TradingView, MetaTrader 4, MetaTrader 5, cTrader, and NinjaTrader 8 users. It includes Pine Script, MQL4, MQL5, cTrader C#, and NinjaScript syntax checkers alongside stock research, options flow, dark-pool, Congress trades, and technical analysis tools. Generic financial MCP servers typically focus on raw price data and fundamentals without the code-validation and flow-analysis layer that Pineify provides.

How do I set up the Pineify MCP server with Claude or ChatGPT?

After subscribing to the Expert Plan, open the MCP page in the Pineify app. Copy the setup prompt that contains your endpoint URL and private token. Send that prompt to your AI agent (Claude, ChatGPT, Cursor, or any MCP-compatible client). The agent installs the MCP server at the user level and verifies the available tools.

Is the Pineify MCP server safe to use with my AI agent?

The Pineify MCP server uses token-based authentication and only exposes read-only tools. Your token grants access to data retrieval, not account management or trade execution. Keep your token private and only send the setup prompt to agents you trust. Never share your token in public channels or repositories.

Connect Pineify MCP to your AI agent today.

Copy one prompt, send it to Claude or ChatGPT, and give your agent 28 read-only financial tools for stock research, options flow, trading-code validation, and market analysis.