BRVM MCP Server

BRVM MCP Server

Enables AI agents to access live market data from the BRVM stock exchange, supporting queries on stock prices, indices, market summaries, and company information via the Model Context Protocol.

Category
访问服务器

README

🇨🇮 BRVM MCP Server

The first MCP server for West Africa's regional stock exchange.

Connect any AI agent — Claude, ChatGPT, Cursor, Copilot, LangGraph — to live market data from the BRVM (Bourse Régionale des Valeurs Mobilières), serving 8 UEMOA member states across West Africa.

MCP Python License


Why?

The BRVM lists ~46 companies across Bénin, Burkina Faso, Côte d'Ivoire, Guinée-Bissau, Mali, Niger, Sénégal, and Togo — with a combined market cap of ~$27.8B USD. Yet it has no public API. This server bridges that gap, making BRVM data accessible to the AI ecosystem via the Model Context Protocol.

What's coming on the BRVM

  • December 18, 2026: First derivatives market in francophone West Africa (futures on indices and stocks)
  • 2026–2027: ETF listings
  • 2026: Agricultural commodities exchange (BMPA CI) — cashew, maize, cola nut

This server is built to grow alongside these developments.

Features

Tools (7)

Tool Description
get_market_summary Full trading session overview: volume, value, gainers/losers, indices
get_stock_price Current quote for a specific ticker (price, change, volume)
get_indices All BRVM indices: Composite, BRVM 30, Prestige, Principal, sectors
get_top_movers Top N gainers and losers of the day
get_company_info Company details: name, country, sector, market cap
search_stocks Search by name, country, or sector
list_tickers All ~46 BRVM tickers with metadata

Resources

URI Description
brvm://about BRVM exchange overview for context injection

Prompts

Prompt Description
analyze_stock Structured analysis of a BRVM stock
market_report Full daily market report template

Quick Start

Prerequisites

  • Python 3.11+
  • uv (recommended) or pip

Install & Run

# Clone
git clone https://github.com/dilanefk/brvm-mcp-server.git
cd brvm-mcp-server

# Install
uv sync

# Run (stdio — for Claude Desktop / Cursor)
uv run brvm-mcp

# Run (HTTP — for remote agents / web apps)
uv run brvm-mcp --transport streamable-http --port 8000

Connect to Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "brvm": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/brvm-mcp-server", "brvm-mcp"]
    }
  }
}

Restart Claude Desktop. You'll see the BRVM tools in the 🔨 menu.

Test with MCP Inspector

npx @modelcontextprotocol/inspector uv run brvm-mcp

Docker (remote deployment)

docker build -t brvm-mcp .
docker run -p 8000:8000 brvm-mcp

Example Conversations

Once connected, you can ask Claude:

"What's the BRVM market doing today?" → Calls get_market_summary(), returns full session data

"Show me Sonatel's stock price" → Calls get_stock_price("SNTS")

"Which BRVM stocks are from Sénégal?" → Calls search_stocks(country="Sénégal")

"Give me a full market report" → Uses the market_report prompt to orchestrate multiple tool calls

"Which stocks dropped the most today?" → Calls get_top_movers(), focuses on losers

Architecture

┌──────────────────┐     MCP (stdio/HTTP)     ┌──────────────────┐
│   AI Agent       │◄────────────────────────►│  BRVM MCP Server │
│ (Claude, GPT,    │                          │                  │
│  Cursor, etc.)   │                          │  FastMCP + Tools │
└──────────────────┘                          │  + Cache Layer   │
                                              └────────┬─────────┘
                                                       │ httpx
                                              ┌────────▼─────────┐
                                              │  Data Sources    │
                                              │  • afx.kwayisi   │
                                              │  • brvm.org      │
                                              │  • Rich Bourse   │
                                              └──────────────────┘
  • FastMCP: Decorator-based MCP framework (official Python SDK)
  • httpx: Async HTTP client for scraping
  • BeautifulSoup4 + lxml: HTML parsing
  • diskcache: TTL-based disk caching (5min default, respectful of sources)
  • Pydantic: Structured data models

Roadmap

  • [ ] v0.2 — Historical price data (OHLCV bars)
  • [ ] v0.3 — BRVM official announcements / corporate actions feed
  • [ ] v0.4 — BMPA CI commodities data (when available)
  • [ ] v0.5 — Derivatives data (futures, options — post Dec 2026 launch)
  • [ ] v1.0 — OAuth + rate limiting for multi-user deployment
  • [ ] Register on MCP Registry

Data Sources & Fair Use

This server scrapes publicly available data. It implements:

  • Caching (5min TTL) to minimize requests
  • Polite User-Agent header identifying the project
  • No authentication bypass — only public data

For real-time FIX feeds, contact BRVM directly: brvm.org/real-time-data-feed

Contributing

PRs welcome! Priority areas:

  1. Additional data sources (eodhd.com, Rich Bourse)
  2. Historical data support
  3. Tests (pytest + VCR cassettes for scraper tests)
  4. TypeScript port for Node.js MCP hosts

License

MIT


Built with ☕ in Mauritius by Dilane Fogué Kamga — Senior Software & AI Engineer, Financial Engineering MSc (WorldQuant University).

Bridging AI and African capital markets.

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