Semantic search over Nordic financial markets: filings, reports, and macro data for NO/SE/DK/FI.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Nordic Financial MCP.
search_filingsSemantic search over Nordic company filings, press releases and macroeconomic summaries.
A production-grade semantic search server for Nordic financial markets β built for autonomous AI agents. 1,000,000+ vectors across exchange filings, company reports, commodity prices, freight rates, energy data and press releases.
Search: Natural language queries over annual reports, quarterly reports, exchange announcements and macroeconomic summaries β filtered by company, ticker, country, sector or year. Two-stage hybrid retrieval (dense + sparse BM25, fused via RRF) with cross-encoder reranking for high-precision results.
Live endpoint: https://mcp.aidatanorge.no/mcp
Transport: streamable-http
Registry: Smithery Β· MCP Registry Β· Glama Β· mcp.so
Add to your MCP client config:
Or with Claude Code:
Try the live demo in your browser:
π https://mcp.aidatanorge.no/demo
No installation, no configuration. Just search for "Equinor dividend", "Swedish policy rate", or "salmon price Q3".
This server follows the StreamableHTTP MCP transport. A complete handshake is required before calling tools.
| Error | Cause | Solution |
|---|---|---|
406 Not Acceptable | Missing text/event-stream in Accept header | Send: Accept: application/json, text/event-stream |
400 Bad Request: Missing session ID | No session established | First GET /mcp, use returned mcp-session-id header |
-32602 Invalid request parameters | Missing initialize before tools/list | Complete steps 1-3 in order |
This handshake is automatic in MCP-compliant clients like Claude Desktop, LangChain, and the MCP Python SDK. If you're building a custom client, following the sequence above ensures compatibility.
The /demo endpoint shows how a browser can perform the same handshake using JavaScript fetch() β view source for a working implementation.
AIDataNorge is a full-stack data pipeline and semantic search system that ingests, processes, and indexes financial data from Nordic markets into a vector database optimized for AI agent queries. It exposes data through a Model Context Protocol (MCP) server, making it natively compatible with Claude, LangChain, and other LLM-based agents.
The system is designed with autonomous machine-to-machine consumption in mind, including support for emerging agent payment protocols. The database is updated nightly.
search_filingsSemantic search over Nordic company filings, press releases and macroeconomic summaries.
Search pipeline: Dense embedding (intfloat/e5-large-v2, 1024d) + sparse BM25, fused via Reciprocal Rank Fusion (RRF), reranked by mmarco-mMiniLMv2-L12-H384-v1. Natural language queries in any language are supported.
get_company_infoLook up a company in the official business registry.
parse_pdf_to_textDownload a PDF from a URL and extract all text, page by page.
get_current_power_priceReal-time day-ahead electricity spot prices for all Nordic bidding zones.
company_researchRun multiple targeted searches in a single call and get raw results grouped by section. The caller defines all sections and queries and is responsible for synthesizing the output.
For a fully orchestrated due diligence report where AI plans the sections and synthesizes the narrative, use Alfred MCP instead.
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