Nordic Financial MCP

aidatanordic/nordic_financial_mcp

This is a production semantic search system over Nordic financial markets with over 1M vectors covering exchange filings, quarterly and annual reports, press releases, and macro data from Norway, Sweden, Denmark, and Finland. It exposes tools for natural language search across company filings with filters for ticker, sector, year, and report type, plus live electricity spot prices for all Nordic bidding zones, company registry lookups, and PDF text extraction. Search uses hybrid retrieval with dense embeddings, BM25, and cross-encoder reranking. The server runs on streamable-http transport at a public endpoint with nightly database updates. Reach for this when building agents that need to analyze Nordic corporate disclosures, track energy markets, or answer financial questions grounded in primary sources rather than general knowledge.

tools: 7
transport: HTTP
last updated: Apr 22, 2026

View on GitHub

Install

From registry metadata

$ npx add-mcp https://mcp.aidatanorge.no/mcp --name nordic_financial_mcp

Run in your terminal. add-mcp asks which agents to add it to (Claude Code, Codex, Cursor and more). Add -g to install it for every project.

Review the command, arguments and environment values before installing. MCP servers run with your local permissions.

Other ways

Claude Code

$ claude mcp add --transport http nordic_financial_mcp https://mcp.aidatanorge.no/mcp

Run in your terminal. Add --scope user to make it available in every project.

Tools

Verified live · 7 tools

Verified live against the running server on Nov 6, 2026.

pingConnectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is...1 params

Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is...

Parameters* required

namestring

Arbitrary label included in the response, e.g. 'healthcheck' or 'agent-1'default: world

get_company_infoLook up a company in the official business registry for Norway, Denmark or Finland. Use this to retrieve authoritative registration data (legal name, status, address) for a known organisation number. Do not use for Sweden (SE) — use search_filings with country='SE' instead, as...2 params

Look up a company in the official business registry for Norway, Denmark or Finland. Use this to retrieve authoritative registration data (legal name, status, address) for a known organisation number. Do not use for Sweden (SE) — use search_filings with country='SE' instead, as...

Parameters* required

countrystring

Two-letter country code: NO (default), DK, or FIdefault: NO

identifier*string

Organisation number (NO: 9 digits, DK: 8 digits CVR, FI: business ID with hyphen)

search_filingsSearch the Nordic financial database for company filings, press releases and macroeconomic summaries. Use this as the primary tool for any question about Nordic listed companies, markets or macro conditions. Do not use to retrieve a full document — results are chunked text exc...10 params

Search the Nordic financial database for company filings, press releases and macroeconomic summaries. Use this as the primary tool for any question about Nordic listed companies, markets or macro conditions. Do not use to retrieve a full document — results are chunked text exc...

Parameters* required

countrystring

Filter by country: NO, SE, DK, or FIdefault:

fastboolean

Skip reranking and return results ranked by hybrid score only. Faster but less precise.default: false

fiscal_yearinteger

Filter by fiscal year, e.g. 2024. Use 0 for no filterdefault: 0

limitinteger

Number of results to return (1–20)default: 5

max_chunk_indexinteger

Only return chunks with chunk_index <= this value. Use 3 to target introductory sections of long documents. Use 0 for no filter.default: 0

query*string

Natural language search query, e.g. 'Equinor dividend 2024' or 'Norwegian housing market Q3'

report_typestring

Filter by type: annual_report, quarterly_report, press_release, exchange_announcement, macro_summarydefault:

sectorstring

Filter by sector, e.g. 'energy', 'financials', 'salmon'default:

sourcestring

Filter by data source, e.g. 'xbrl_esef', 'newsweb', 'mfn_nordics', 'nasdaq_se'default:

tickerstring

Filter by company ticker, e.g. 'EQNR', 'SALM', 'NDA'default:

parse_pdf_to_textDownload a PDF from a URL and extract all text content, page by page. Use this to read the full text of a specific document — for example, an annual report PDF linked from a search_filings result. Best combined with search_filings: use search_filings to locate the document, th...1 params

Download a PDF from a URL and extract all text content, page by page. Use this to read the full text of a specific document — for example, an annual report PDF linked from a search_filings result. Best combined with search_filings: use search_filings to locate the document, th...

Parameters* required

pdf_url*string

Direct HTTPS URL to the PDF file

get_current_power_priceFetch today's hourly day-ahead electricity spot prices for a Nordic bidding zone. Use this for current and near-term (today/tomorrow) price queries. Do not use for historical price analysis — use search_filings with report_type='macro_summary' and a date reference in the query...2 params

Fetch today's hourly day-ahead electricity spot prices for a Nordic bidding zone. Use this for current and near-term (today/tomorrow) price queries. Do not use for historical price analysis — use search_filings with report_type='macro_summary' and a date reference in the query...

Parameters* required

include_tomorrowboolean

Also fetch tomorrow's prices if available (published after 13:00 CET)default: false

zonestring

Bidding zone: NO1–NO5, SE1–SE4, DK1, DK2, or FIdefault: NO1

company_researchRun multiple targeted searches and return raw results grouped by section. The caller defines all sections and queries — this tool does not decide what is relevant. Before calling, reason about which topics and data sources matter for this specific company: financial metrics, r...2 params

Run multiple targeted searches and return raw results grouped by section. The caller defines all sections and queries — this tool does not decide what is relevant. Before calling, reason about which topics and data sources matter for this specific company: financial metrics, r...

Parameters* required

company*string

Company name to research, e.g. 'Equinor', 'Norsk Hydro', 'Aker BP'

sections*array

List of section dicts. Each must have 'name' (str) and 'query' (str). Optional: 'ticker' (str, filters results to that company), 'limit' (int, default 5, max 10). Maximum 8 sections.

analyze_companyAI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nord...2 params

AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nord...

Parameters* required

company*string

Company name or ticker, e.g. 'Equinor' or 'EQNR'

question*string

Question to answer, e.g. 'How did margins develop 2022-2024?' or 'What are the main risk factors?'

Readme

Nordic Financial MCP

A production-grade semantic search server for Nordic financial markets — 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 — 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.

View the full README on GitHub

Details

Repository: github.com/aidatanordic/nordic_financial_mcp
Categories: Search & Web Crawling, Data & Analytics
Transport: HTTP
Registry: MCP registry, active
Prompts: 3
Tools verified: Nov 6, 2026

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Nordic Financial MCP

Install

Tools

Readme

Nordic Financial MCP

Details

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