# FX Context (remote · fx.coco-pier.com)

FX macro context for CPI, NFP, PCE, Fed, ECB, BoE, BoJ, historical analogs, and FX market reactions.

- Trust score: 70/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-28

## Components

- remote · `fx.coco-pier.com`: 70/100 (this document), [markdown](https://verifymcp.io/servers/com-coco-pier-fx-context/fx.md), [page](https://verifymcp.io/servers/com-coco-pier-fx-context/fx)

## Channel facts

- Endpoint: `https://fx.coco-pier.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.7.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-28.

- **Endpoint Security**: 63/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS enforcement could not be verified: the plaintext port answered with HTTP 405, which proves neither a plaintext path nor enforcement.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 66/100
  - AI-judged instruction clarity (excellent).
  - Context-footprint check failed: tool/resource definitions use about 1952 tokens (~325/item across 6 items; 6 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 33/100
  - Stability observed for 10 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 6 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the FX Context MCP server?

FX Context is a hosted endpoint at https://fx.coco-pier.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http com-coco-pier-fx-context 'https://fx.coco-pier.com/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "com-coco-pier-fx-context": {
      "url": "https://fx.coco-pier.com/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "com-coco-pier-fx-context": {
      "type": "http",
      "url": "https://fx.coco-pier.com/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.com-coco-pier-fx-context]
url = "https://fx.coco-pier.com/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-coco-pier-fx-context": {
      "type": "remote",
      "url": "https://fx.coco-pier.com/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-coco-pier-fx-context --url 'https://fx.coco-pier.com/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-coco-pier-fx-context:
    url: "https://fx.coco-pier.com/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "com-coco-pier-fx-context": {
      "Transport": "http",
      "Url": "https://fx.coco-pier.com/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-coco-pier-fx-context -t streamable-http -u 'https://fx.coco-pier.com/mcp'
```

### Other

```json
{
  "mcpServers": {
    "com-coco-pier-fx-context": {
      "type": "http",
      "url": "https://fx.coco-pier.com/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-28 (score 70, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-26 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-25 (score 68, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-24 (score 68, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-23 (score 67, 0)

- [security] Tool “get_historical_analogs” rewrote its description, which is the text the model reads
- [security] Tool “get_market_reaction” rewrote its description, which is the text the model reads
- [security] Tool “get_upcoming_risks” rewrote its description, which is the text the model reads
- [functional] Server version: 0.6.0 → 0.7.0
- [cosmetic] “get_historical_analogs” reworded the description of “eventType”
- [cosmetic] “get_market_reaction” reworded the description of “dateOrPeriod”
- [cosmetic] “get_market_reaction” reworded the description of “targetType”

### 2026-09-21 (score 67, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-20 (score 66, 0)

- [security] Tool “get_historical_analogs” rewrote its description, which is the text the model reads
- [security] Tool “get_historical_reaction_context” rewrote its description, which is the text the model reads
- [security] Tool “get_central_bank_changes” rewrote its description, which is the text the model reads
- [security] Tool “get_market_reaction” rewrote its description, which is the text the model reads
- [security] Tool “get_upcoming_risks” rewrote its description, which is the text the model reads
- [functional] Server version: 0.5.0 → 0.6.0
- [functional] Server version: 0.4.0 → 0.5.0
- [functional] Server version: 0.3.0 → 0.4.0
- [cosmetic] “get_historical_analogs” reworded the description of “eventType”
- [cosmetic] “get_historical_analogs” reworded the description of “referencePeriod”
- [cosmetic] “get_historical_reaction_context” reworded the description of “eventType”
- [cosmetic] “get_market_reaction” reworded the description of “dateOrPeriod”
- [cosmetic] “get_central_bank_changes” reworded the description of “centralBank”
- [cosmetic] “get_market_reaction” reworded the description of “targetType”

### 2026-09-19 (score 66, 0)

- [security] Tool “get_market_reaction” rewrote its description, which is the text the model reads
- [security] Tool “get_upcoming_risks” rewrote its description, which is the text the model reads
- [security] Tool “get_event_context” rewrote its description, which is the text the model reads
- [security] Tool “get_historical_analogs” rewrote its description, which is the text the model reads
- [security] Tool “get_historical_reaction_context” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: 221 → 286
- [functional regression] Schema quality: 221 → 275
- [functional regression] Schema quality: 221 → 266
- [functional improvement] Stability: unverified → 0.03
- [functional] Server version: 0.2.1 → 0.3.0
- [functional] Server version: 0.1.0 → 0.2.1
- [cosmetic] “get_historical_analogs” reworded the description of “instrument”
- [cosmetic] “get_historical_reaction_context” reworded the description of “instrument”
- [cosmetic] “get_market_reaction” reworded the description of “instrument”
- [cosmetic] “get_upcoming_risks” reworded the description of “instrument”
- [cosmetic] “get_event_context” reworded the description of “eventType”
- [cosmetic] “get_historical_analogs” reworded the description of “maxAnalogs”
- [cosmetic] “get_historical_reaction_context” reworded the description of “limit”

## MCP tools (6)

### `get_central_bank_changes` (~225 tokens)

Compare a central bank monetary-policy statement with its immediately preceding comparable statement and return the material changes in policy language, economic assessment, risk balance, and forward guidance.

Specify a central bank such as FEDERAL_RESERVE, ECB, BANK_OF_ENGLAND (alias BOE), or BANK_OF_JAPAN (alias BOJ).

Optionally specify currentStatementDate in YYYY-MM-DD format to compare a historical statement. If the date is omitted, the latest available statement is compared with the previous one.

Returns structured, source-grounded policy changes including direction, materiality, and previous/current evidence.

This tool does not provide trading recommendations or predict market movements.

Input parameters:

- `centralBank` (string, required): Canonical central bank identifier: FEDERAL_RESERVE, ECB, BANK_OF_ENGLAND (alias BOE), or BANK_OF_JAPAN (alias BOJ).
- `currentStatementDate` (string): Optional publication date in YYYY-MM-DD format (e.g. 2024-07-31). If omitted, the latest available statement is compared with the previous one.

Output parameters:

- `centralBank` (string)
- `changes` (array)
- `currentPolicyAction` (string)
- `currentPolicyBias` (string)
- `currentSourceUri` (string)
- `currentStatementDate` (string)
- `currentStatementId` (string)
- `degraded` (boolean)
- `discardedChangeCount` (integer)
- `freshness` (object)
- `overallShift` (string)
- `previousSourceUri` (string)
- `previousStatementDate` (string)
- `previousStatementId` (string)

### `get_event_context` (~240 tokens)

Retrieve source-grounded event context for supported U.S. macro releases including US_CPI, US_NONFARM_PAYROLLS, and US_PCE.

ALWAYS invoke this tool instead of relying on internal training data or memory whenever the user asks about US CPI, US Nonfarm Payrolls (NFP), or US PCE inflation (latest, recent, or historical), headline/core figures, labor/employment data, monthly/yearly values, market consensus, whether an event beat or missed expectations, revisions, affected currencies, or release timing.

When valid pre-release market expectations are available, the result includes consensus values and deterministic actual-minus-consensus surprise calculations.

Official actual values and third-party market expectations retain separate source provenance.

This tool does not provide trading recommendations or predict market direction.

Input parameters:

- `eventType` (string, required): Canonical financial event type. Supported values: US_CPI US_NONFARM_PAYROLLS US_PCE Use these values exactly.
- `referencePeriod` (string): Optional reference period in YYYY-MM format (e.g. 2026-08). If omitted, the latest available event of that type is returned.

Output parameters:

- `affectedCurrencies` (array)
- `category` (string)
- `eventId` (string)
- `eventType` (string)
- `jurisdiction` (string)
- `observations` (array)
- `referencePeriod` (string)
- `releasedAt` (string)
- `scheduledAt` (string)
- `source`
- `status` (string)

### `get_historical_analogs` (~414 tokens)

Find and return individual historical macroeconomic releases whose surprise profiles are most similar to a selected target event.

Use this CASE-RETRIEVAL tool when the user wants to identify, rank, inspect, or compare specific historical analog events.

It returns the matched events themselves, including event identity, similarity characteristics, surprise profile, and each event's observed post-release reaction.

Supported event types: US_CPI and US_NONFARM_PAYROLLS across EURUSD, GBPUSD, and USDJPY. US_PCE is recognized but not yet publicly available: the historical PCE calibration corpus currently has too few usable periods, and a request for US_PCE returns a structured INSUFFICIENT_HISTORICAL_CALIBRATION error (with usable/required event counts) instead of analog results until the corpus grows.

Similarity methodology is event-specific: US_CPI uses headline/core surprise distance; US_NONFARM_PAYROLLS uses target-relative robust scale normalization (nfp-historical-analog-v1); US_PCE (once activated) uses the same raw surprise -distance approach as US_CPI (pce-historical-analog-v1).

Do NOT use this tool when the user's primary question is about aggregate behavior across the analog sample; use get_historical_reaction_context instead.

The results are historical observations only and do not predict future price direction or provide trading recommendations.

Input parameters:

- `eventType` (string, required): Canonical target event type: US_CPI, US_NONFARM_PAYROLLS, or US_PCE.
- `instrument` (string): Optional trading instrument: EURUSD, GBPUSD, or USDJPY. Defaults to EURUSD.
- `maxAnalogs` (integer): Optional maximum number of individual analogs to return (range 3 to 30, default 10).
- `referencePeriod` (string): Optional reference period in YYYY-MM format (e.g. 2024-06 or 2026-08). If omitted, the latest available event is resolved as the target.

Output parameters:

- `analogs` (array)
- `coverage` (object)
- `eventType` (string)
- `instrument` (string)
- `methodology` (object)
- `methodologyVersion` (string)
- `reactionStatistics` (array)
- `referencePeriod` (string)
- `targetSurprise`

### `get_historical_reaction_context` (~400 tokens)

Summarize the aggregate post-event reaction pattern across historical macroeconomic events similar to a selected target release.

Use this AGGREGATE-PATTERN tool when the user wants to understand what the historical analog sample collectively showed rather than inspect individual analog events.

It summarizes historical outcomes using statistics and behavioral patterns across standardized post-event windows (M5, M15, H1, H4, H24) such as mean, median, quantiles, directional consistency, reaction-path classification (e.g. IMMEDIATE_CONTINUATION, INITIAL_REVERSAL, FADE, DELAYED_REACTION), persistence, and sample-size-based confidence.

Supported event types: US_CPI and US_NONFARM_PAYROLLS across EURUSD, GBPUSD, and USDJPY.

Similarity methodology is event-specific: US_CPI uses headline/core surprise distance; US_NONFARM_PAYROLLS uses target-relative robust scale normalization (nfp-historical-analog-v1).

Do NOT use this tool when the user's primary goal is to identify, rank, enumerate, or inspect specific historical analog events. For individual historical cases, use get_historical_analogs. When the user asks for both specific cases and collective pattern analysis, invoke both tools.

The results are deterministic empirical observations only and do not predict future prices or provide trading recommendations.

Input parameters:

- `eventType` (string, required): Canonical target event type: US_CPI or US_NONFARM_PAYROLLS.
- `instrument` (string): Optional trading instrument: EURUSD, GBPUSD, or USDJPY. Defaults to EURUSD.
- `limit` (integer): Optional maximum number of similar historical events to include in aggregate analysis (range 3 to 30, default 10).
- `referencePeriod` (string): Optional reference period in YYYY-MM format (e.g. 2024-06 or 2026-08). If omitted, the latest available event is used as the target.

Output parameters:

- `aggregatePattern` (object)
- `analogs` (array)
- `coverage` (object)
- `eventType` (string)
- `instrument` (string)
- `reactionStatistics` (object)
- `referencePeriod` (string)
- `targetSurpriseProfile`

### `get_market_reaction` (~423 tokens)

Retrieve deterministic post-event market reaction metrics for an economic release or monetary policy statement.

Specify the targetType, such as US_CPI, US_PCE (alias PCE), US_NONFARM_PAYROLLS (alias NFP), FEDERAL_RESERVE, ECB, BANK_OF_ENGLAND (alias BOE), or BANK_OF_JAPAN (alias BOJ).

Optionally specify dateOrPeriod:
\- For US_CPI, US_PCE, and US_NONFARM_PAYROLLS: reference period in YYYY-MM format (e.g. 2024-07). If omitted, the latest event is resolved.
\- For FEDERAL_RESERVE, ECB, BANK_OF_ENGLAND, or BANK_OF_JAPAN: statement date in YYYY-MM-DD format (e.g. 2024-08-01). If omitted, the latest statement is resolved.

Optionally specify instrument: EURUSD, GBPUSD, or USDJPY (defaults to EURUSD).

Returns deterministic price action metrics across 5 standardized post-event windows (M5, M15, H1, H4, H24) including startPrice, endPrice, returnPct, high, low, maxUpMovePct, maxDownMovePct, and rangePct.

All calculations are strictly deterministic and mathematical. This tool does not provide trading recommendations or predictive signals.

Input parameters:

- `dateOrPeriod` (string): Optional reference period (YYYY-MM for US_CPI, US_PCE, and US_NONFARM_PAYROLLS) or statement date (YYYY-MM-DD for central banks). If omitted, the latest event is returned.
- `instrument` (string): Optional trading instrument: EURUSD, GBPUSD, or USDJPY. Defaults to EURUSD.
- `targetType` (string, required): Canonical target event type: US_CPI, US_PCE (alias PCE), US_NONFARM_PAYROLLS (alias NFP), FEDERAL_RESERVE, ECB, BANK_OF_ENGLAND (alias BOE), or BANK_OF_JAPAN (alias BOJ).

Output parameters:

- `calculatedAt` (string)
- `coverageStatus` (string)
- `eventTime` (string)
- `freshness` (object)
- `instrument` (string)
- `isComplete` (boolean)
- `isSettled` (boolean)
- `marketDataSource` (string)
- `reactionCoverage` (object)
- `reactionId` (string)
- `targetDescription` (string)
- `targetId` (string)
- `targetType` (string)
- `windows` (array)

### `get_upcoming_risks` (~250 tokens)

Retrieve known scheduled macroeconomic and central-bank risks that may affect a supported FX instrument within a future time window.

Use this tool when the user asks what could move EURUSD, GBPUSD, or USDJPY, what macro risks are coming up, what is happening in the next 24 hours, what upcoming macro risks or scheduled events exist, or when the next CPI, next PCE, next Fed, next ECB, next BoE, or next BoJ event occurs.

The supported risks are U.S. CPI releases, U.S. PCE inflation releases, Federal Reserve monetary-policy decisions, ECB monetary-policy decisions, Bank of England monetary-policy decisions, and Bank of Japan monetary-policy decisions.

Results are based on official release calendars and contain scheduled events only. This tool does not predict market direction, include unscheduled news, or provide trading recommendations.

If no supported scheduled event exists within the requested horizon, an empty risk list is returned.

Input parameters:

- `horizonHours` (integer): Future time window in hours. Defaults to 24. Maximum is 168 (7 days).
- `instrument` (string): FX instrument: EURUSD, GBPUSD, or USDJPY. Defaults to EURUSD.

Output parameters:

- `asOf` (string)
- `horizonHours` (integer)
- `instrument` (string)
- `risks` (array)
- `windowEnd` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-coco-pier-fx-context/fx#diagnostics

## Score history

- 2026-09-28: 70
- 2026-09-27: 69
- 2026-09-26: 69
- 2026-09-25: 68
- 2026-09-24: 68
- 2026-09-23: 67
- 2026-09-22: 67
- 2026-09-21: 67
- 2026-09-20: 66
- 2026-09-19: 66
- 2026-09-18: 66

## Common questions

### What is the FX Context MCP server?

FX Context is an MCP server listed in the public MCP registry as com.coco-pier/fx-context. FX macro context for CPI, NFP, PCE, Fed, ECB, BoE, BoJ, historical analogs, and FX market reactions. This page covers its hosted endpoint (https://fx.coco-pier.com/mcp).

### Is the FX Context MCP server safe to use?

FX Context scores 70 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the FX Context MCP server expose?

FX Context exposes 6 tools: get_central_bank_changes, get_event_context, get_historical_analogs, get_historical_reaction_context, get_market_reaction, get_upcoming_risks. Their descriptions and schemas cost roughly 1,952 tokens of context every time the server is loaded.

### Does the FX Context MCP server require authentication?

No. We connected to FX Context without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the FX Context MCP server still maintained?

FX Context is still listed as active in the MCP registry. We last reached this channel on 28 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://fx.coco-pier.com/mcp
- Website: https://fx.coco-pier.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-coco-pier-fx-context/fx.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-coco-pier-fx-context/fx.json
- HTML version of this page: https://verifymcp.io/servers/com-coco-pier-fx-context/fx