brvm-mcp
MCP server providing access to BRVM (West African regional stock exchange) public data, including real-time quotes, market summaries, dividends, fundamentals, volumes, and sector indices through 18 tools.
README
brvm-mcp
MCP server giving AI assistants access to BRVM public data — the West African regional stock exchange serving 8 UEMOA countries (Benin, Burkina Faso, Côte d'Ivoire, Guinea-Bissau, Mali, Niger, Senegal, Togo).
The BRVM publishes no public API. This server aggregates 4 data sources into 18 MCP tools so any AI assistant (Claude Desktop, Claude Code, etc.) can query real-time market data, fundamentals, dividends, volumes, and sector indices.
Disclaimer: For information and analysis only. Does not constitute investment advice (regulated activity under AMF-UMOA). Past performance does not guarantee future results.
18 tools
Official data — brvm.org
| Tool | Description |
|---|---|
brvm_market_summary |
Market overview: BRVM-C, BRVM-30, BRVM-Prestige indices, market cap, transactions, top/worst movers |
brvm_quotes |
Prices (FCFA) and % change — all 47 tickers or a specific one |
brvm_list_companies |
Listed companies, filterable by country |
brvm_company_details |
Company profile + PDF document links (annual reports, BOC) |
brvm_dividends |
Upcoming dividend payments: issuer, ticker, date, amount per share |
brvm_dividend_yield |
Dividend yield ranked highest first — the BRVM is primarily a yield market |
brvm_price_history |
Historical prices from local SQLite database (requires snapshot.py) |
brvm_performance |
Price performance over the tracked period |
brvm_history_status |
Database depth: first/last session, tickers tracked |
brvm_fundamentals |
P/E ratio, EPS, market cap from BOC PDF or annual report |
brvm_diagnose_pdf |
PDF structure diagnostic for troubleshooting extraction |
Supplementary sources
| Tool | Source | Added value vs brvm.org |
|---|---|---|
brvm_volumes |
AFX Kwayisi | Trading volumes (absent from brvm.org) |
brvm_fondamentaux_ticker |
AFX Kwayisi | P/E, EPS, dividend yield per ticker — no PDF needed |
brvm_historique_avec_volumes |
AFX Kwayisi | Last 10 sessions with volumes |
brvm_indices_sectoriels |
AFX Kwayisi | Sector indices: Energy, Financial Services, Public Utilities (day / 1WK / YTD) |
brvm_cotations_enrichies |
Rich Bourse | Previous close + market cap per ticker |
brvm_ohlc |
Sika Finance | Open / High / Low / Close + volumes |
brvm_dividendes_sikafinance |
Sika Finance | Cross-check dividend announcements |
Quick start
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"brvm": {
"command": "uvx",
"args": ["--from", "git+https://github.com/dondirechristian/brvm-mcp", "brvm-mcp"]
}
}
}
Restart Claude Desktop. Then ask: "What are the BRVM stocks with the highest dividend yield?"
Config file locations:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json - Windows (Store):
%LOCALAPPDATA%\Packages\Claude_*\LocalCache\Roaming\Claude\claude_desktop_config.json
Claude Code
claude mcp add brvm -- uvx --from git+https://github.com/dondirechristian/brvm-mcp brvm-mcp
Manual install (pip)
git clone https://github.com/dondirechristian/brvm-mcp.git
cd brvm-mcp
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -r requirements.txt
python server.py
HTTP / Docker mode
For network deployment or integration with non-stdio MCP clients:
docker compose up -d
Exposes a streamable-http MCP endpoint on port 8000. Set MCP_TRANSPORT=sse for legacy SSE clients.
Historical data
brvm.org only exposes the current session. To build trend analysis, run snapshot.py daily after market close (BRVM fixing ~10:45 GMT):
python snapshot.py # capture today's session (idempotent)
python snapshot.py --stats # show database coverage
Automate with cron (weekdays at 12:00 GMT):
0 12 * * 1-5 cd /path/to/brvm-mcp && .venv/bin/python snapshot.py >> snapshot.log 2>&1
Architecture
brvm-mcp/
├── server.py # FastMCP server — 18 tools, stdio/HTTP/SSE transports
├── snapshot.py # Daily snapshot for historical database
├── brvm_scraper/
│ ├── client.py # HTTP session, TTL cache (15 min), retry/backoff
│ ├── quotes.py # Prices, indices, market activity (brvm.org)
│ ├── companies.py # Listed companies with country filter
│ ├── dividends.py # Dividends + yield calculation
│ ├── afx_kwayisi.py # Volumes, fundamentals, sector indices (AFX)
│ ├── richbourse.py # Previous close, market cap (Rich Bourse)
│ ├── sikafinance.py # OHLC, dividends (Sika Finance)
│ ├── storage.py # SQLite historization (UPSERT, stats, performance)
│ └── fundamentals.py # P/E / EPS extraction from PDF (pdfplumber)
└── tests/
├── fixture_home.html # Captured brvm.org HTML for offline tests
├── test_parsers.py # Quote / dividend parsing
├── test_storage.py # SQLite storage
└── test_agent_smoke.py # Agent smoke test
Technical notes:
- Regex on page text, not CSS selectors — more resilient to theme changes
- 15-minute TTL cache — BRVM runs a single daily fixing (~10:45 GMT), no need to hammer sources
- Identifiable User-Agent + exponential backoff — respectful of public infrastructure
License
MIT — © 2025 Christian Dondire
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