Pyth Pro MCP Server

• convert_date_to_timestampFree

  Convert a date string to Unix timestamp for use with get_historical_price, get_price_range and get_candlestick_data. Use this tool when you need to compute timestamps — do not calculate Unix timestamps manually. Accepts ISO 8601 dates (e.g. '2026-01-01', '2026-01-01T12:00:00Z'). Returns seconds, microseconds, ISO 8601, and whether the date is within the available data range (April 2025 onward).

• get_candlestick_dataFree

  Fetch OHLC candlestick bars for one symbol, for charting, technical analysis or backtesting. OHLC values are already human-readable (no exponent). Requires the user's own Pyth Pro access token. If the user configured it in their MCP client, omit `access_token`; otherwise pass it as `access_token`, and if the tool reports it missing, ask the user for it. Symbols can be full names from get_symbols (e.g. 'Crypto.BTC/USD', 'Equity.US.AAPL/USD') or bare pairs like 'BTC/USD'. A bare pair resolves to the live spot feed when there is one, otherwise to the only remaining live match; `resolved_symbols` in the response shows what each input resolved to, and an ambiguous input returns an error listing the candidates. `from` and `to` are Unix seconds only. Resolutions: 1/5/15/30/60 minutes, 120/240/360/720 (multi-hour), D (daily), W (weekly), M (monthly). At most 500 candles are returned; `truncated: true` means narrow the range or use a larger resolution. Historical data is available from April 2025 onward; do not request times before that. Price tools: get_latest_price for now, get_historical_price for one past instant, get_price_range for every update within up to 60 seconds, get_candlestick_data for OHLC bars over longer periods. Timestamp reference (Unix seconds): 2025-04-01 (earliest available) = 1743465600 2026-01-01 = 1767225600 2026-06-01 = 1780272000 Always double-check your timestamp math (year-boundary errors are common), or use convert_date_to_timestamp.

• get_historical_priceFree

  Get the price of one or more feeds at one past instant. Requires the user's own Pyth Pro access token. If the user configured it in their MCP client, omit `access_token`; otherwise pass it as `access_token`, and if the tool reports it missing, ask the user for it. Symbols can be full names from get_symbols (e.g. 'Crypto.BTC/USD', 'Equity.US.AAPL/USD') or bare pairs like 'BTC/USD'. A bare pair resolves to the live spot feed when there is one, otherwise to the only remaining live match; `resolved_symbols` in the response shows what each input resolved to, and an ambiguous input returns an error listing the candidates. If both price_feed_ids and symbols are provided, only price_feed_ids are used. The timestamp accepts Unix seconds, milliseconds or microseconds (auto-detected) and is rounded down to the channel rate (e.g. a multiple of 200 ms for fixed_rate@200ms). Historical data is available from April 2025 onward; do not request times before that. Requested feeds that return no price are listed in `missing_feed_ids` (e.g. beta or coming_soon feeds, or a channel faster than the feed's min_channel). Prices are integers with an exponent field: human-readable price = price * 10^exponent. Pre-computed display_* fields (display_price, display_bid, display_ask, display_confidence, display_ema_price, display_ema_confidence, display_funding_rate) apply the exponent for you. Price tools: get_latest_price for now, get_historical_price for one past instant, get_price_range for every update within up to 60 seconds, get_candlestick_data for OHLC bars over longer periods. Timestamp reference (Unix seconds): 2025-04-01 (earliest available) = 1743465600 2026-01-01 = 1767225600 2026-06-01 = 1780272000 Always double-check your timestamp math (year-boundary errors are common), or use convert_date_to_timestamp.

• get_latest_priceFree

  Get the most recent real-time price for one or more feeds. Requires the user's own Pyth Pro access token. If the user configured it in their MCP client, omit `access_token`; otherwise pass it as `access_token`, and if the tool reports it missing, ask the user for it. Symbols can be full names from get_symbols (e.g. 'Crypto.BTC/USD', 'Equity.US.AAPL/USD') or bare pairs like 'BTC/USD'. A bare pair resolves to the live spot feed when there is one, otherwise to the only remaining live match; `resolved_symbols` in the response shows what each input resolved to, and an ambiguous input returns an error listing the candidates. If both price_feed_ids and symbols are provided, only price_feed_ids are used. Requested feeds that return no price are listed in `missing_feed_ids` (e.g. beta or coming_soon feeds, or a channel faster than the feed's min_channel). Prices are integers with an exponent field: human-readable price = price * 10^exponent. Pre-computed display_* fields (display_price, display_bid, display_ask, display_confidence, display_ema_price, display_ema_confidence, display_funding_rate) apply the exponent for you. Price tools: get_latest_price for now, get_historical_price for one past instant, get_price_range for every update within up to 60 seconds, get_candlestick_data for OHLC bars over longer periods.

• get_price_rangeFree

  Get every price update for one or more feeds within a short historical window (at most 60 seconds), e.g. to see exactly how a price moved around an event. Requires the user's own Pyth Pro access token. If the user configured it in their MCP client, omit `access_token`; otherwise pass it as `access_token`, and if the tool reports it missing, ask the user for it. Symbols can be full names from get_symbols (e.g. 'Crypto.BTC/USD', 'Equity.US.AAPL/USD') or bare pairs like 'BTC/USD'. A bare pair resolves to the live spot feed when there is one, otherwise to the only remaining live match; `resolved_symbols` in the response shows what each input resolved to, and an ambiguous input returns an error listing the candidates. If both price_feed_ids and symbols are provided, only price_feed_ids are used. Rows are ordered by time and interleaved across feeds; a fixed_rate@200ms channel yields 5 rows per feed per second. When `has_more` is true, call again with `after` set to `next_cursor` and the same feeds, window and channel. Historical data is available from April 2025 onward; do not request times before that. Prices are integers with an exponent field: human-readable price = price * 10^exponent. Pre-computed display_* fields (display_price, display_bid, display_ask, display_confidence, display_ema_price, display_ema_confidence, display_funding_rate) apply the exponent for you. Price tools: get_latest_price for now, get_historical_price for one past instant, get_price_range for every update within up to 60 seconds, get_candlestick_data for OHLC bars over longer periods.

• get_symbolsFree

  List available Pyth Pro price feeds. Use this FIRST to discover what feeds exist before calling get_latest_price, get_historical_price, get_price_range or get_candlestick_data (those also accept bare pairs like BTC/USD). Filter by asset_type (e.g. crypto, equity, fx, metal, commodity, interest-rate, funding-rate, kalshi) or search by name/symbol. Narrow further with instrument_type (spot, future, ...) or symbol_chain_id (all contracts of one futures chain, e.g. VX). Retired (inactive) feeds are hidden unless include_inactive is true. Returns compact feed metadata: symbol, name, description, pyth_lazer_id, asset_type, instrument_type, state, exponent, min_channel (fastest channel the feed supports), quote_currency, and where set groups (entitlement groups that gate the feed), expiration_time and symbol_chain_id (futures). Pass verbose: true for every catalog field, e.g. market_sessions (trading-hours schedules) and corporate_actions (e.g. stock splits). With an access token, the list also includes feeds visible only to Pro keys, and each feed has `entitled`: true means this key can query the feed right now. When `entitled` is false, `not_entitled_reason` says why: `not_live (...)` means the feed is in beta, not live yet, or retired, so no key can query it (NOT a plan limitation), `requires one of entitlement groups: ...` means the user's plan lacks that entitlement.

• –Code scanremote-only server, no package to scann/a
• Live reliabilityremote reachable in 1319ms20/20
• Tool poisoning6 tool descriptions checked15/15
• Auth qualityopen endpoint, read-only tools10/15
• Maintenancelast push 2 days ago15/15
• Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10

Safety score

92/100

higher than 95% of 1,765 Finance servers

Tools

6

the typical Finance server has 9

Tools that change things

0%

typical: 0%. Fewer write tools means less an agent can break

Uptime

100%

of our recent checks; the typical remote Finance server answers 100%

Response time

360 ms

faster than 40% of 1,144 Finance servers

GitHub stars

255

more than 95% of 957 Finance servers

Pyth Pro MCP Server: common questions

Is Pyth Pro MCP Server safe?

Yes, by our scan: it is graded A (92/100). Read the Pyth Pro MCP Server safety report

How do I install Pyth Pro MCP Server?

It runs remotely at mcp.pyth.network. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.

Does Pyth Pro MCP Server need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is Pyth Pro MCP Server maintained?

The last commit was 10 days ago (2026-11-05). The latest release is v0.3.2.

Is Pyth Pro MCP Server up?

100% of our last 28 checks got an answer. We check remote servers about four times a day.

What can I use instead of Pyth Pro MCP Server?

Servers from other publishers that do the same job: TickDB Market Data MCP server, Zwldarren Akshare One MCP server and Moonpay MCP server. Compare all Pyth Pro MCP Server alternatives.

How does Pyth Pro MCP Server compare with other Finance MCP servers?

safety score 92/100 (higher than 95% of 1,765 Finance servers); tools 6 (the typical Finance server has 9); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.