Market analysis

Technical Analysis MCP Server for Stock Snapshots

The Pineify technical analysis MCP server lets an AI agent read the latest available technical analysis snapshot for one supported ticker across one to four timeframes. It returns canonical field keys, shared field names, values, coverage, and freshness metadata. It does not predict prices.

MCP tool name
get-technical-analysis-snapshot

Example prompt

Use Pineify to compare the latest available technical analysis fields for NVDA on 1h and 1d.

Direct answer

What get-technical-analysis-snapshot does

Use get-technical-analysis-snapshot when an agent needs a current technical context for a known symbol, not a stock screener. One request accepts one ticker and one to four unique timeframes chosen from 1m, 5m, 15m, 30m, 1h, 2h, 4h, and 1d.

The response identifies the resolved symbol and exchange, then returns shared fieldDefinitions once and a values map for each requested timeframe. Fields can cover prices, raw indicator values, states, scores, ranks, returns, signals, and candlestick patterns from Pineify Core.

This is a read-only latest-available snapshot. The tool does not return indicator history, scan a universe, recalculate indicators when called, or claim that a signal will predict the next price move.

Contract

What the agent sends and receives

Inputs

  • symbol: one supported ticker without an exchange prefix, such as NVDA or SPY
  • timeframes: one to four unique values from 1m, 5m, 15m, 30m, 1h, 2h, 4h, and 1d

Structured output

  • Symbol metadata: symbol, resolvedSymbol, exchange, fieldSet, and updatedAt
  • Shared field metadata: registeredFieldCount and fieldDefinitions keyed by canonical field name
  • One snapshot per requested timeframe with values, availableFieldCount, isComplete, missing, barTime, and receivedAt

Capabilities

Where this MCP tool fits

Compare up to four timeframes

Request one to four unique intervals for the same supported ticker and receive snapshots in the same order, which makes 1h and 1d context easy to compare.

Read canonical technical fields

Match compact keys in each values map to the shared full names in fieldDefinitions without repeating definitions for every timeframe.

Check freshness and field coverage

Inspect barTime, receivedAt, updatedAt, availableFieldCount, registeredFieldCount, isComplete, and missing before relying on a snapshot.

Agent workflow

A bounded call from question to review

  1. 1

    Choose one ticker and the relevant intervals

    Send a supported ticker without an exchange prefix and select no more than four unique timeframes.

  2. 2

    Map values to their field names

    Use fieldDefinitions to interpret the canonical keys returned in each timeframe values map.

  3. 3

    Validate freshness before analysis

    Check missing, isComplete, field counts, barTime, receivedAt, and updatedAt, then describe the snapshot without treating it as a forecast.

Prompt examples

Questions an agent can route to this tool

"Use Pineify to compare the latest available technical analysis fields for NVDA on 1h and 1d."
"Get a SPY technical analysis snapshot for 15m, 1h, and 1d, then flag any missing or incomplete timeframe."
"Read AAPL on 4h and 1d, map the canonical keys to their full field names, and summarize where the timeframes differ."

Operator notes

How I review the result

When I check NVDA on 1h and 1d, I compare only fields present in both values maps and call out incomplete coverage before interpreting a difference.

When I inspect SPY on 15m, 1h, and 1d, I read barTime and receivedAt for each interval instead of assuming every snapshot was refreshed together.

When I review AAPL on 4h and 1d, I use the returned fieldDefinitions as the source for field names and avoid turning a technical signal into a price prediction.

Boundaries to keep in the prompt

  • Each call accepts one supported ticker. It cannot screen or rank a universe of symbols.
  • Each call accepts at most four unique timeframes and returns the latest available snapshot, not historical indicator series.
  • The service reads registered technical analysis data and does not recalculate indicators at request time. Missing or incomplete fields can occur.
  • Technical analysis describes observed market data. It cannot predict stock prices or guarantee a trading outcome.
  • This is an information tool, not investment advice.

Pineify MCP is an information and code-validation tool, not investment advice. It does not promise returns, place trades, or modify a portfolio. Review timestamps, source fields, code diagnostics, and risk assumptions before acting.

FAQ

Technical Analysis MCP Server for Stock Snapshots questions

Add get-technical-analysis-snapshot to your AI workflow

Connect one remote Pineify MCP endpoint, then let your compatible AI client discover this tool with the rest of the read-only catalog.

Open MCP setup