Skip to main content
Glama

Server Details

Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.

Status
Healthy
Last Tested
Transport
Streamable HTTP
URL

Glama MCP Gateway

Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.

MCP client
Glama
MCP server

Full call logging

Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.

Tool access control

Enable or disable individual tools per connector, so you decide what your agents can and cannot do.

Managed credentials

Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.

Usage analytics

See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.

100% free. Your data is private.
Tool DescriptionsB

Average 3.4/5 across 12 of 12 tools scored. Lowest: 2.8/5.

Server CoherenceA
Disambiguation5/5

Each tool has a clearly distinct purpose: pattern search variants differ by input method (historical, sketched, private data), decision tools are separated by context (generic vs. Polymarket), and supporting tools (backtest, regime, track record) cover different aspects. No two tools appear to do the same thing.

Naming Consistency4/5

Most tools follow a descriptive verb_noun pattern in snake_case, but there is a split between 'get_' prefixed tools (e.g., get_track_record) and directly verb-noun names (e.g., backtest_strategy). This minor inconsistency does not hinder readability.

Tool Count5/5

12 tools cover the server's domain of price pattern analysis and trading decisions without being excessive or sparse. Each tool serves a specific, justified purpose, and the count feels well-scoped for the intended functionality.

Completeness4/5

The tool set covers core workflows: pattern search (multiple methods), regime detection, backtesting, trade decisions, and track record verification. Minor gaps like a dedicated symbol listing tool are absent but not critical, as symbols are likely parameters.

Available Tools

12 tools
backtest_strategyInspect

Perform a full strategy backtest over a historical period (Walk-forward analysis). Use this for testing general rules or long-term performance.

ParametersJSON Schema
NameRequiredDescriptionDefault
fYesForecast horizon
qYesQuery length
stepNoSimulation step in bars
topKNoNumber of nearest neighbours
endTsNoEnd timestamp for simulation
feePctNoPer-side fee percentage
symbolYesTicker symbol
maxBarsNoMaximum recent bars to load for the backtest
minProbNoDirectional probability threshold
startTsNoStart timestamp for simulation
intervalYesTimeframe
token_idNoOptional Manus access token. Paid tools use tokenized service access, not a monthly subscription: when token_id is omitted the server returns payment_required with a Solana Pay invoice, and after payment you retry with the same token while the server uses Manus token/resolve to recover pending access.
directionNoAllowed direction: long, short, or both
minAvgSimNoMinimum average similarity required to trade
onlySignalsNoReturn only non-neutral decisions
slippagePctNoPer-side slippage percentage
includeStatsNo
embeddingModeNoPattern embedding mode for ANN retrieval
detect_market_regimeInspect

Classify current market state into one of the known market regimes.

ParametersJSON Schema
NameRequiredDescriptionDefault
symbolYesTicker symbol
intervalYesTimeframe
token_idNoOptional Manus access token. Paid tools use tokenized service access, not a monthly subscription: when token_id is omitted the server returns payment_required with a Solana Pay invoice, and after payment you retry with the same token while the server uses Manus token/resolve to recover pending access.
timestampNoUnix timestamp for detection
queryLengthYesLength of price vector to analyze
find_market_analogsInspect

Find historical price patterns similar to the current (or specified) market state. Returns a list of past dates when the same pattern occurred, the price outcome after each analog, and aggregate statistics (win rate, median return, percentile range). Use cases: (1) pre-news analysis — filter by timeOfDayUTC to find analogs that happened near a specific event time (e.g., FOMC at 14:00 UTC); (2) regime research — understand historically what happens after this pattern; (3) Polymarket context — combine with get_polymarket_probabilities to validate signal with historical evidence. Returns a plain-English summary suitable for agent reasoning.

ParametersJSON Schema
NameRequiredDescriptionDefault
fNo
qNo
limitNo
symbolYesTicker symbol, e.g. BTCUSDT
contextNo
sessionNo
intervalNoCandle interval15m
token_idNoOptional Manus access token. Paid tools use tokenized service access, not a monthly subscription: when token_id is omitted the server returns payment_required with a Solana Pay invoice, and after payment you retry with the same token while the server uses Manus token/resolve to recover pending access.
weekdaysNo
timeOfDayUTCNo
timeRangeUTCNo
minSimilarityNo
anchorTimestampNo
timeWindowMinutesNo
forecast_private_memory_from_dataInspect

Create or reuse a private dataset, import candle data, and return a compact forecast card in one call. Ideal for users who want to upload exchange or ML-derived candle history, inspect analogues immediately, and only then decide whether to run RLXBT.

ParametersJSON Schema
NameRequiredDescriptionDefault
fNo
qNo
nameNo
rowsNo
slugNo
sortNo
forceNo
limitNo
startNo
cursorNo
userIdNo
agentIdNo
rawTextNo
anchorTsNo
intervalNo
token_idNoOptional Manus access token. Paid tools use tokenized service access, not a monthly subscription: when token_id is omitted the server returns payment_required with a Solana Pay invoice, and after payment you retry with the same token while the server uses Manus token/resolve to recover pending access.
datasetIdNo
descriptionNo
windowEndTsNo
embeddingModeNo
windowStartTsNo
includeForecastNo
get_api_guideInspect

Returns the full documentation and workflow guide for this MCP server. Call this first to understand all available tools, their use cases, and how to combine them. Includes: tool catalog, recommended workflows for Polymarket research, historical analog analysis, and example calls.

ParametersJSON Schema
NameRequiredDescriptionDefault
topicNoFocus area: 'all' for full guide, or a specific topicall
get_live_polymarket_trade_decisionInspect

Auto-discover the active BTC Up/Down 15m Polymarket market, combine live Polymarket pricing with pattern memory and intrabar momentum, and return BUY_YES, BUY_NO, or SKIP with entry guardrails.

ParametersJSON Schema
NameRequiredDescriptionDefault
nowMsNo
symbolNoBTCUSDT
minEdgeNo
intervalNo15m
token_idNoOptional Manus access token. Paid tools use tokenized service access, not a monthly subscription: when token_id is omitted the server returns payment_required with a Solana Pay invoice, and after payment you retry with the same token while the server uses Manus token/resolve to recover pending access.
marketWindowNocurrent
allowDegradedSearchNo
minCombinedConfidenceNo
get_mcp_compatibility_manifestInspect

Return the versioned MCP compatibility manifest, including canonical tools, aliases, and JSON argument schemas for remote clients.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

get_pattern_metricsInspect

Retrieve advanced statistical metrics and forecast distributions for a pattern search result.

ParametersJSON Schema
NameRequiredDescriptionDefault
fNoForecast horizon in bars
qNoQuery length in bars
sortNoSort mode for results
limitNoMaximum number of matches to return
symbolNoTicker symbol (e.g., BTCUSDT)
compactNoDefault true: strips per-match value arrays and full forecast paths, returning match metadata, horizon-end price targets, and the calibrated outcome distribution (~4x fewer tokens). Set false for full arrays.
anchorTsNoTarget timestamp to search around
intervalNoTimeframe (e.g., 1h, 15m)
token_idNoOptional Manus access token. Paid tools use tokenized service access, not a monthly subscription: when token_id is omitted the server returns payment_required with a Solana Pay invoice, and after payment you retry with the same token while the server uses Manus token/resolve to recover pending access.
embeddingModeNoPattern embedding mode: priceShape uses normalized closes, featureV1 uses OHLCV/context, neuralV1 uses the experimental ONNX encoder
get_track_recordInspect

Public forecast track record: every closed bar the engine logs its own forecast BEFORE the outcome is known, then grades it against reality. Returns direction hit rate, p10-p90 band coverage vs the nominal 80%, mean abs error, the active conformal calibration scale, and recent forecast-vs-actual rows. Use this to verify the engine's calibration before trusting its forecasts.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoMax recent forecast rows to return (default 40, max 200)
symbolNoTicker symbol (default BTCUSDT)
intervalNoTimeframe: 5m, 15m, 1h or 4h (default 1h)
get_trading_decisionInspect

Return a compact trader decision card for a symbol/interval: TRADEABLE, WATCH, or SKIP with direction, confidence, evidence, risk, reasons, and caveats.

ParametersJSON Schema
NameRequiredDescriptionDefault
fNoForecast horizon in bars
qNoQuery length in bars
sortNoSort mode for results
limitNoMaximum number of matches to return
feePctNoPer-side fee percentage for the proof backtest
symbolNoTicker symbol (e.g., BTCUSDT)
compactNoDefault true: strips per-match value arrays and full forecast paths, returning match metadata, horizon-end price targets, and the calibrated outcome distribution (~4x fewer tokens). Set false for full arrays.
minProbNoMinimum directional probability required to trade in the proof backtest
anchorTsNoTarget timestamp to search around
intervalNoTimeframe (e.g., 1h, 15m)
token_idNoOptional Manus access token. Paid tools use tokenized service access, not a monthly subscription: when token_id is omitted the server returns payment_required with a Solana Pay invoice, and after payment you retry with the same token while the server uses Manus token/resolve to recover pending access.
minAvgSimNoMinimum average similarity required to trade in the proof backtest
slippagePctNoPer-side slippage percentage for the proof backtest
backtestStepNoBacktest step in bars
backtestEndTsNoOptional backtest end timestamp in Unix ms
embeddingModeNoPattern embedding mode: priceShape uses normalized closes, featureV1 uses OHLCV/context, neuralV1 uses the experimental ONNX encoder
backtestMaxBarsNoMaximum recent bars to load for the backtest
backtestStartTsNoOptional backtest start timestamp in Unix ms
includeBacktestNoWhen true, include a walk-forward backtest proof block. This is slower than the default decision-only response.
backtestTimeoutMsNoOptional timeout budget for the backtest request
search_by_sketchInspect

Search for historical patterns similar to a custom 'sketched' price trajectory (Sketch-to-Search). Useful when you want to find matches for a hypothetical or hand-drawn pattern.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoMax matches to return
symbolNoReference symbol for scaleBTCUSDT
intervalNoReference interval1h
token_idNoOptional Manus access token. Paid tools use tokenized service access, not a monthly subscription: when token_id is omitted the server returns payment_required with a Solana Pay invoice, and after payment you retry with the same token while the server uses Manus token/resolve to recover pending access.
queryValuesYesArray of price points representing the sketched pattern (e.g. [10, 11, 10.5, 12])

Discussions

No comments yet. Be the first to start the discussion!

Try in Browser

Your Connectors

Sign in to create a connector for this server.

Resources