Journely Markets

Registre officiel Finance et paiements

US, Japan and Vietnam market data: macro, sectors, fundamentals, estimates, price history.

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code
claude mcp add --transport http journely-markets 'https://api.journely.me/api/v1/journely/mcp' --header 'Authorization: <Bearer jrn_live_… token from https://journely.me/settings/api-keys (free tier available). Not needed if your client signs in via OAuth.>'
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "journely-markets": {
            "type": "http",
            "url": "https://api.journely.me/api/v1/journely/mcp",
            "headers": {
                "Authorization": "<Bearer jrn_live_… token from https://journely.me/settings/api-keys (free tier available). Not needed if your client signs in via OAuth.>"
            }
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Journely MCP Server
  2. What it is
  3. Why it exists
  4. Quick start
  5. Tools
  6. Pricing
  7. Good for
  8. Not for
  9. How it compares
  10. Status
  11. Feedback and contributions
  12. Disclaimer
  13. License

Journely MCP Server

Free MCP server for Vietnamese, Japanese, and US market data.

9 tools · REST + MCP parity · OpenAPI 3.1 documented · broker-neutral · live data


⚠️ Not investment advice. This server returns market data for research and AI-agent use. Outputs are data, not recommendations. You are responsible for verifying any analysis and for compliance with the rules of the markets and jurisdictions you operate in.


What it is

Journely operates a public, free-tier MCP server (Model Context Protocol, spec 2025-06-18) that gives AI agents structured access to Vietnamese, Japanese, and US market data — macro indicators and forecasts, an economic calendar, sector aggregates, and per-stock fundamentals, analyst estimates and price history.

Every MCP tool is also a REST endpoint with the same data model. So you can:

  • Wire it into Claude Desktop, Cursor, or any MCP-capable client → ask natural-language questions
  • Call it directly from any HTTP client → drop into your own AI pipeline, notebook, or app

This repository is the public-facing landing for the server. The MCP server itself runs at https://api.journely.me/api/v1/journely/mcp — there's nothing to install or self-host.

Why it exists

In 2026, every "Top MCP servers for financial data" roundup covers the same US-first providers (EODHD, Finnhub, Financial Modeling Prep, Alpha Vantage, MarketXLS, Financial Datasets). Vietnamese market coverage is thin or paid-only; broker-tied servers exist but lock you to one execution venue. Journely is broker-neutral, multi-market, and free at the tier most indie and research workloads need.

Quick start

Option 1 — Claude Desktop (MCP)

Add the server to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "journely": {
      "url": "https://api.journely.me/api/v1/journely/mcp",
      "headers": {
        "Authorization": "Bearer jrn_live_YOUR_TOKEN"
      }
    }
  }
}

Get a free token at https://journely.me/settings/api-keys. Restart Claude Desktop. All 9 tools will appear and Claude can call them automatically.

Try a prompt:

"Pull VIC's last 5 years of revenue and margins, then check where Vietnamese inflation and rates are heading."

Option 2 — cURL (REST)
export JOURNELY_TOKEN="your-token-here"

# Vietnam macro indicators
curl -H "Authorization: Bearer $JOURNELY_TOKEN" \
  "https://api.journely.me/api/v1/journely/data/macro/indicators?country=VN"

# VIC (Vingroup) snapshot + quote
curl -H "Authorization: Bearer $JOURNELY_TOKEN" \
  "https://api.journely.me/api/v1/journely/data/stocks/VIC/overview?country=VN"

# VIC income statement (annual)
curl -H "Authorization: Bearer $JOURNELY_TOKEN" \
  "https://api.journely.me/api/v1/journely/data/stocks/VIC/statements?country=VN&type=income"
Option 3 — Python (or any HTTP client)
import httpx

client = httpx.Client(
    base_url="https://api.journely.me/api/v1/journely",
    headers={"Authorization": f"Bearer {TOKEN}"},
)

# Sector snapshot (broad-market, not country-split): P/E, margin, 1Y change
r = client.get("/data/sectors", params={"level": "sector"})
print(r.json())

Tools

All 9 tools are exposed via both MCP and REST. One-to-one parity, same data model.

MCP toolREST endpointReturns
get_macro_indicatorsGET /data/macro/indicatorsGDP, inflation, labor, rates panel for US / JP / VN — view=key for ~12 headlines; every row dated (period) with its unit
get_macro_forecastGET /data/macro/forecastForward-looking macro projections (4–8 quarters)
get_macro_calendarGET /data/macro/calendarEconomic events for US / JP / VN about two weeks ahead (FOMC, BoJ, CPI, NFP, GDP) with exact UTC time, previous / consensus / forecast / actual
get_sector_overviewGET /data/sectorsSector (11) or industry (145) snapshot — P/E, margin, dividend yield, 1D/1Y change. Broad-market, not country-split
get_stock_overviewGET /data/stocks/{symbol}/overviewCompany snapshot + live quote — any US / JP / VN ticker
get_stock_statementsGET /data/stocks/{symbol}/statementsIncome, balance sheet, cash flow, or ratios (ROIC, FCF yield, EV/EBIT) — annual or quarterly
get_stock_forecastGET /data/stocks/{symbol}/forecastAnalyst consensus, price targets, rating trend
get_stock_price_historyGET /data/stocks/{symbol}/historyClosing prices — full daily for US; ~1Y daily + long-horizon snapshot for JP / VN
get_earnings_calendarGET /data/earnings-calendarUpcoming earnings dates + EPS / revenue estimates for a list of US tickers

There is no ticker-search tool — pass any US / JP / VN symbol you already know (e.g. AAPL, 7203, FPT).

Full OpenAPI 3.1 spec with interactive ReDoc UI: **https://journely.me/api-docs** MCP transport details and tool schemas: **https://journely.me/api-docs/mcp**

Pricing

Free tier with reasonable rate limits — designed for indie developers, research, and most agent workloads.

TierPriceRate limitNotes
Free$0100 / day · 30 / hour1 key
Prosee pricing5,000 / day · 500 / hour5 keys
Maxsee pricing50,000 / day · 5,000 / hour20 keys

Only tools/call counts against quota — initialize, tools/list and ping are free.

No card required to get a free key. No marketing emails after signup.

Good for

  • AI agents that need Vietnamese / Japanese / US market context
  • Backtesting and analytics on VN-listed equities
  • LLM-driven investment research workflows (Claude, GPT, Gemini all supported via MCP or REST)
  • Vietnamese-diaspora investors building personal tooling
  • Anyone learning to invest who wants real data behind their AI prompts

Not for

  • Order execution. No trading, positions, or orders endpoints — research data only.
  • HFT. Pricing is updated frequently enough for fundamental and research workflows, not for millisecond strategies.
  • Investment advice. Outputs are data, not recommendations.

How it compares

JournelyExisting free libraries (vnstock, VNQuant)Paid VN APIs (iTick, FiinGroup, EODHD-VN)Broker MCP servers
Free tier✓✓LimitedUsually tied to brokerage account
MCP-native✓✗ (Python only)✗Sometimes
REST API✓✗✓Sometimes
Multi-marketVN + JP + USMostly VNMostly VNSingle broker's venues
Broker-neutral✓✓✓✗ (locked to provider)
OpenAPI documented✓✗VariesVaries

Status

MCP transportStreamable HTTP (spec 2025-06-18), stateless
AuthBearer token (jrn_live_…), or OAuth 2.1 + PKCE for clients that support remote-connector sign-in (discovery at /.well-known/oauth-protected-resource)
ServerLive at https://api.journely.me/api/v1/journely/mcp
RegionAsia-Pacific (low-latency for VN/JP users; ~150-300ms US round-trip)
Uptime targetBest-effort; this is a community-free service. SLA available for paid tiers.

Feedback and contributions

This is a docs-and-examples repository for a hosted service. The MCP server itself isn't open-source (yet). To contribute:

  • Bugs or wrong data: open a GitHub issue with the exact tool call and what you expected
  • Tool requests: open an issue, tag enhancement
  • Built something cool with it: PR a link to the examples/ directory or DM @journely on X

Disclaimer

Nothing in this repository or the data returned by the Journely MCP server constitutes investment, legal, tax, or accounting advice. Data is provided as-is, on a best-effort basis. Markets move; data feeds occasionally lag or correct. Verify before you act.

License

MIT for this repository's contents (README, examples). The Journely service itself is governed by its Terms of Service.


Built by Trung Vu — Tokyo. Vietnamese. FIRE'd. Indie founder. Reach out: hello@journely.me · journely.me · X / Twitter

Questions fréquentes

Qu'est-ce que Journely Markets ?

US, Japan and Vietnam market data: macro, sectors, fundamentals, estimates, price history.

Comment installer Journely Markets ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http journely-markets 'https://api.journely.me/api/v1/journely/mcp' --header 'Authorization: <Bearer jrn_live_… token from https://journely.me/settings/api-keys (free tier available). Not needed if your client signs in via OAuth.>'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Journely Markets ?

Oui. Il attend Authorization, à renseigner dans sa configuration.

Journely Markets est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Journely Markets ?

Il est publié par journelyme. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.