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Provides RagAlgo's scored and non-scored financial data via MCP for reliable AI integration.
Configuration
View docs{
"mcpServers": {
"kokogo100-ragalgo-mcp-server": {
"command": "node",
"args": [
"C:\\\\coding\\\\RagAlgo\\\\mcp-server\\\\dist\\\\index.js"
],
"env": {
"RAGALGO_API_KEY": "ragalgo_scored_test_a3ed9bd570436d46"
}
}
}
}RagAlgo MCP Server provides up-to-date financial news and data through a Model Context Protocol (MCP). It helps you integrate scored, signal-driven data into AI workflows to reduce hallucinations and improve reliability when dealing with dynamic market information.
You will interact with RagAlgo MCP Server through an MCP client that speaks the MCP protocol. Use the server to fetch scored or raw financial data, news, charts, and trends, then feed those results into your AI agent or automation workflow. The scored mode lets you rely on quantified signals like Chart Score: 9.5, while the non-scored mode provides sanitized data feeds for experimentation, fine-tuning, or custom pipelines.
Prerequisites you need on your machine are Node.js and npm. Ensure Node.js is installed and accessible from your terminal.
cd mcp-server
npm install
npm run buildEnvironment variable you must provide for authenticating requests is the RagAlgo API key. This key authorizes access to the scored or non-scored endpoints.
# Windows (PowerShell)
$env:RAGALGO_API_KEY="ragalgo_scored_test_a3ed9bd570436d46"
# Windows (CMD)
set RAGALGO_API_KEY=ragalgo_scored_test_a3ed9bd570436d46
# Mac/Linux
export RAGALGO_API_KEY="ragalgo_scored_test_a3ed9bd570436d46"In Claude Desktop you add a configuration for RagAlgo as an MCP server. The following settings run the server locally and pass the API key to the process.
{
"mcpServers": {
"ragalgo": {
"command": "node",
"args": ["C:\\coding\\RagAlgo\\mcp-server\\dist\\index.js"],
"env": {
"RAGALGO_API_KEY": "ragalgo_scored_test_a3ed9bd570436d46"
}
}
}
}Retrieve non-scored financial news articles.
Retrieve financial news with scoring for signals and sentiment.
Fetch stock chart scores for a given ticker.
Fetch cryptocurrency chart scores for a given pair.
Query financial statements and key metrics.
Retrieve daily snapshots of data points.
Search for relevant tags within the RagAlgo taxonomy.
Match text to corresponding tags for contextual analysis.
Get trends by tag to understand momentum and signals.