Pineify MCP: Connect AI Agents to Financial Trading Tools
AI agents are only as useful as the tools they can call. An agent that can only read what you paste into a chat window has to rely on you to fetch every price, every options-flow alert, and every research snapshot by hand.
Pineify MCP removes that bottleneck. It exposes Pineify's financial data and code-validation tools through the Model Context Protocol (MCP), so Claude, ChatGPT, Cursor, Codex, Gemini, and any other MCP-compatible agent can call them directly, mid-conversation, without you copying data back and forth.
The server currently ships multiple read-only tools across four categories: code validation, market research, financial analysis, and event-driven workflows.
Key Takeaways
- Pineify MCP is a hosted, remote MCP server. There is no local service to install or maintain.
- It exposes read-only financial tools across four groups: code validation, market research, financial analysis, and event-driven workflows.
- One setup prompt, containing your endpoint URL and private token, is all an agent needs to connect.
- It works with any MCP-compatible client, including ChatGPT, Claude, Claude Code, Cursor, Codex, Gemini, Grok, Zed, and OpenClaw.
- Every tool is read-only and non-destructive. None of them can place trades, modify positions, or execute orders.
- Pineify MCP requires an Expert Plan subscription.
What Is Pineify MCP?
Pineify MCP is a Model Context Protocol server that exposes Pineify's core financial and coding tools to any MCP-compatible AI agent. Instead of your agent guessing at Pine Script syntax or hallucinating support and resistance levels, it calls a real tool and gets a real answer back.
The server runs remotely at a Streamable HTTP endpoint (https://agents.pineify.app/mcp). Every request is authenticated with a private Bearer token tied to your account. There is nothing to run locally, no Python environment to configure, and no local stdio process to keep alive.
Why Financial AI Agents Need an MCP Server
A general-purpose AI assistant has no live connection to markets. Ask ChatGPT for the latest options-flow alert on TSLA, and it can only guess based on training data or a generic web search. That gap is exactly what MCP was designed to close.
The Model Context Protocol is an open standard that lets AI clients call external tools through a single, structured interface. Pineify implements that standard specifically for trading and investing:
- Instead of copying a Pine Script snippet into a chat and asking "does this look right?", your agent runs the actual TradingView syntax checker and reads real diagnostics.
- Instead of asking "what's happening with NVDA options flow?" and getting a hedge, your agent calls a live options-flow tool and returns structured, sourced data.
- Instead of manually checking Congress trade disclosures across multiple sites, your agent queries one tool and gets a filtered, sorted result.
Pineify MCP Tools
Pineify MCP groups its tools into four categories that mirror a trader's actual workflow: write and validate code, research markets and companies, analyze financial data, and build repeatable agent workflows.
Write and Validate Code (2 tools)
| Tool | What It Does |
|---|---|
| pine-script-syntax-checker | Checks TradingView Pine Script v6 code and returns normalized diagnostics without modifying the source. |
| mql5-syntax-checker | Checks a standalone MQL5 script or a multi-file MetaEditor project for compile errors. |
These two tools let an agent iterate on trading code in a tight loop: write, check, read the errors, fix, and check again, without you ever opening TradingView or MetaEditor yourself.
Research Markets and Companies (3 tools)
| Tool | What It Does |
|---|---|
| find-ai-stock-picks | Returns a bounded, ranked list of USA stock candidates for a supported strategy (overall, low-risk, growth, value, dividend, large-cap, and more). |
| get-ai-stock-rating | Retrieves the latest available rank, score breakdown, and supporting metrics for one exact ticker. |
| get-stock-research-snapshot | Compares fundamentals, quality, growth, valuation, and expectations across up to five companies at once. |
Analyze Financial Data (7 tools)
| Tool | What It Does |
|---|---|
| get-technical-analysis-snapshot | Reads the latest technical-analysis fields for one ticker across up to four timeframes: prices, indicator values, states, scores, and signals. |
| find-options-flow-alerts | Finds recent unusual US options-flow alerts, filterable by symbol, premium, DTE, sweep status, and more. |
| get-option-contract-flow | Drills into recent prints and the latest available Greeks for one exact option contract ID. |
| find-dark-pool-trades | Finds recent large dark-pool prints, market-wide or for a specific US ticker, with inferred side and size class. |
| find-congress-trades | Finds recent, late, or politician-specific US congressional trade disclosures, filterable by chamber, party, and transaction type. |
| get-market-tide | Reads broad US options-flow direction and the top-impact symbols driving the latest market session. |
| get-sector-flow-snapshot | Compares bullish and bearish options flow across the fixed eleven-sector universe, with an optional intraday series. |
Build Repeatable Agent Workflows (1 tool)
| Tool | What It Does |
|---|---|
| get-stock-event-context | Builds a bounded briefing from issuer releases, SEC filings, earnings, recent analyst actions, and scheduled earnings through the next 14 days. |
How Pineify MCP Setup Works
Connecting an agent to Pineify MCP takes three steps and does not require editing a JSON configuration file by hand.
- Copy the setup prompt. Open the MCP page inside the Pineify app. The prompt already contains your remote endpoint URL and private authentication token.
- Send it to your AI agent. Paste the prompt into Claude, ChatGPT, Cursor, Codex, or any other MCP-compatible client. The agent installs the server at the user level and configures the connection itself.
- Verify the tools. Your agent lists the available tools and runs a safe, read-only check to confirm the connection is live.
Supported AI Clients
Pineify MCP works with any client that speaks the Model Context Protocol over Streamable HTTP, including:
- ChatGPT
- Claude and Claude Code
- Cursor
- Codex
- Gemini
- Grok
- Zed
- OpenClaw
Because MCP is an open standard, new clients that support it will work with Pineify MCP without any changes on Pineify's side.
Example Prompts for Each Tool
A useful way to think about Pineify MCP is as a set of commands your agent already knows how to call once connected. Here is one example prompt per tool:
- "Use Pineify to check this Pine Script v6 code and explain every diagnostic."
- "Use Pineify to compile-check this MQL5 Expert Advisor project."
- "Use Pineify to find five low-risk USA stock candidates from the latest snapshot."
- "Use Pineify to get the latest AI stock rating for AAPL."
- "Use Pineify to compare the latest research snapshots for AAPL and MSFT."
- "Use Pineify to analyze NVDA on the 1h and 1d timeframes."
- "Use Pineify to find recent high-premium options flow alerts for TSLA."
- "Use Pineify to inspect recent prints for this option contract ID."
- "Use Pineify to find the largest recent dark-pool trades for SPY."
- "Use Pineify to summarize the latest reported congressional trades in NVDA."
- "Use Pineify to explain today's market tide and its top-impact symbols."
- "Use Pineify to rank sectors by net options flow for the latest session."
- "Use Pineify to build a sourced 72-hour event briefing for AMD."
What Pineify MCP Is Not
Every tool is read-only and non-destructive. Pineify MCP cannot place an order, cancel an order, modify a position, or move money. It is a research and analysis layer, not a trade execution system.
It is also not a replacement for judgment. The tools return structured, sourced data. Your agent (and you) still decide what that data means for a specific trade or position.
Who Should Use Pineify MCP?
Traders Who Live in an AI Agent
If you already use Claude, ChatGPT, or Cursor as a daily driver, Pineify MCP removes the manual step of finding and pasting market data into the conversation.
Pine Script and MQL5 Developers
The syntax-checker tools let an agent validate and fix trading code in a tight loop, without switching to TradingView or MetaEditor to see the error output.
Systematic and Discretionary Researchers
The research and analysis tools cover the same ground a manual pre-trade routine usually does: ratings, fundamentals, technicals, options flow, dark-pool activity, and Congress trade disclosures, all callable from one connection.
How to Start Using Pineify MCP
- Subscribe to the Pineify Expert Plan.
- Sign in to Pineify and open the MCP page.
- Copy the setup prompt containing your endpoint and private token.
- Send the prompt to your AI agent of choice.
- Ask your agent to list the available tools to confirm the connection.
- Start asking financial questions. Your agent will call the right tool automatically.
Frequently Asked Questions
▶What is Pineify MCP?
Pineify MCP is a hosted Model Context Protocol server that gives AI agents like Claude, ChatGPT, and Cursor direct access to read-only financial tools, covering Pine Script and MQL5 validation, stock research, technical analysis, options flow, dark-pool trades, Congress trade disclosures, and company event briefings.
▶How many tools does Pineify MCP include?
Pineify MCP currently includes tools across four groups: code-validation tools, market-research tools, financial-analysis tools, and an event-context tool for repeatable agent workflows. The toolset grows over time as Pineify adds new data sources.
▶Which AI agents work with Pineify MCP?
Pineify MCP works with any MCP-compatible client, including ChatGPT, Claude, Claude Code, Cursor, Codex, Gemini, Grok, Zed, and OpenClaw.
▶Do I need to install anything locally to use Pineify MCP?
No. Pineify MCP runs as a remote Streamable HTTP endpoint. There is no local server, Python environment, or Node process required. You only need to send one setup prompt to your agent.
▶Can Pineify MCP place trades or manage my portfolio?
No. All tools are read-only and non-destructive. They retrieve data and run analysis; they cannot place orders, cancel orders, or modify positions.
▶Is Pineify MCP free?
Pineify MCP requires an Expert Plan subscription. The Expert Plan includes access to all MCP tools and your private authentication token.
▶How do I set up Pineify MCP with Claude or ChatGPT?
Open the MCP page in the Pineify app, copy the setup prompt (it already contains your endpoint URL and token), and send it to your agent. The agent installs the server and verifies the tools automatically, usually in under a minute.
▶Is my Pineify MCP token safe to share?
Keep your token private. It authenticates every request to the MCP server. Only send your setup prompt to AI agents you trust, and never post it in a public repository or chat.