How to use Navigora MCP
Bring Nordic company intelligence directly into your AI workflow
Navigora MCP connects your preferred MCP-compatible AI tool directly to Navigora’s company intelligence. Instead of switching between an AI assistant and separate company-data tools, you can ask questions in natural language and work with company details, financials, credit ratings, key personnel, corporate structures, industry benchmarks, news and monitored changes in the same conversation.
Navigora MCP is useful for sales teams, analysts, credit and risk professionals, business developers and anyone who regularly researches Nordic companies. It can support everything from quick company lookups to deeper financial analysis, prospecting and due diligence.
What can you use Navigora MCP for?
Navigora MCP can help you:
Find and research Nordic companies directly from your AI assistant
Analyse financial statements, key figures and financial development
Assess creditworthiness and company risk
Benchmark companies against their industries
Explore parent companies, subsidiaries and corporate structures
Research decision-makers, board members and company connections
Follow recent company news and monitored changes
Combine company intelligence with your own analysis, reports and sales preparation
1. Connect Navigora MCP to your preferred AI tool
Start by connecting Navigora MCP to an MCP-compatible AI assistant, such as Claude, ChatGPT, Gemini, Cursor or another tool that supports MCP.
Once the connection is active, the AI assistant can request company information directly from Navigora when it is relevant to your prompt.
You can then work with company intelligence through the AI interface you already use instead of repeatedly searching for the same information in separate systems.
The exact MCP connection process depends on the AI tool you use, so follow the Navigora MCP setup instructions provided for your environment.
2. Find and identify the right company
Start with a company name, business ID or search criteria.
Navigora MCP can retrieve key company information such as:
Official company name
Business ID
Address
Industry
Company type
Current company status
Using a business ID is particularly useful when several companies have similar names and you need to make sure you are analysing the correct legal entity.
You can also search and filter companies by criteria such as name, status, location and industry directly through your AI assistant.
Example prompt:
Find active software companies in Helsinki and give me a shortlist of relevant businesses to research further.
Or for a specific company:
Look up company [NAME / BUSINESS ID] and summarise its basic company information.
3. Analyse financial performance
Once you have identified a company, ask Navigora MCP to retrieve its financial information and key figures.
Depending on the available company data, you can examine financial statements and indicators such as:
Revenue and revenue growth
EBITDA margin
Equity ratio
Current ratio
Return on investment
Return on equity
You can use several financial years to understand whether the business is growing, declining or remaining relatively stable.
Rather than asking only for raw figures, ask your AI assistant to explain what has changed and highlight the most important developments.
Example prompt:
Analyse the financial development of [COMPANY] over the available years. Focus on revenue growth, profitability, liquidity and solvency, and explain the main changes.
Navigora MCP can also provide financial statements, key figures and credit information without requiring you to open a separate company profile.
4. Compare performance with the industry
Financial figures become more useful when you have something to compare them with.
Navigora MCP can benchmark a company against relevant industry medians, helping you understand whether its financial performance is relatively strong or weak compared with similar businesses.
For example:
Compare [COMPANY] with its industry. How does its growth, profitability, equity ratio and liquidity compare with typical companies in the sector?
This can be useful when:
Qualifying a prospect
Analysing competitors
Evaluating a supplier or partner
Reviewing an existing customer
Looking for stronger companies within an industry
Avoid judging a business from one financial indicator alone. Profitability, liquidity, solvency, growth and industry context can tell very different parts of the story.
5. Assess creditworthiness and financial risk
Navigora MCP can also bring credit and rating information into your AI workflow.
Use this information to add financial context when evaluating customers, prospects and potential business partners.
For example:
Review the financial health and creditworthiness of [COMPANY]. Highlight anything that may require closer attention.
If you are comparing several businesses, you can also ask:
Compare these companies based on financial strength and credit risk. Explain which appear financially stronger and why.
A rating or credit assessment should support decision-making rather than replace a complete credit evaluation. For important decisions, review the underlying financial information and current business situation as well.
Navigora Rating itself evaluates companies using financial information, business history and industry benchmarks, including factors such as profitability, solvency, liquidity, growth and efficiency.
6. Explore corporate structures and decision-makers
Company intelligence is not only about financials.
Navigora MCP can help you understand how businesses and people are connected by retrieving information about:
Parent companies
Subsidiaries
Corporate groups
Board members
Key personnel
Roles held by individuals across companies
This is useful when you need to understand who actually belongs to a group, where decisions may be made or whether a person is connected with several companies.
Example prompts:
Show me the parent company and subsidiaries connected to [COMPANY].
Who are the key people behind [COMPANY], and what other company roles do they currently hold?
Corporate relationships can also reveal opportunities that might not be obvious when looking at one legal entity in isolation.
7. Follow company news and important changes
Ask Navigora MCP about recent news and monitored company changes when timing matters.
This can help you spot developments related to:
Leadership
Expansion
Restructuring
Financial performance
Other relevant company changes
Navigora MCP can surface recent company news and monitored developments directly in your AI workflow.
For example:
What has changed at [COMPANY] recently? Summarise the developments that could matter for a sales or business decision.
Or:
Review recent developments around this customer and flag anything that may indicate new opportunities or increased risk.
For ongoing monitoring, you can continue with Navigora Signals, which automatically follows selected companies, business signals and public procurements and alerts you when relevant changes occur.
8. Turn company intelligence into useful outputs
One of the main advantages of using Navigora through MCP is that the company data can become part of the work you are already doing with AI.
You can combine Navigora information with analysis, writing and reporting in the same conversation.
For example, ask your assistant to create:
Account summaries
Prospect research
Competitor comparisons
Market overviews
Financial analyses
Risk summaries
Meeting preparation
Sales talking points
Internal reports
Example prompt:
Research [COMPANY] using Navigora data. Summarise its business, financial development, key decision-makers, creditworthiness and recent changes. Then give me the five most important points to know before a customer meeting.
You can continue asking follow-up questions without starting the research again from scratch.
Practical ways to use Navigora MCP
Prospecting
Search for companies based on industry, location or status, then enrich the strongest candidates with financial information, key personnel and relevant company developments.
Instead of building a prospect list first and researching every company separately, you can combine discovery and analysis in one workflow.
Account research
Create a concise account summary before a meeting or outreach.
Ask for company details, financial development, management, corporate structure and recent changes, then let the AI assistant organise the information into a useful briefing.
Competitor analysis
Find companies within a market or industry and compare their size, financial performance, growth and stability.
You can also benchmark individual businesses against industry medians to better understand their relative position.
Risk assessment
Review a customer or potential partner using financial statements, key ratios, credit information and recent company changes.
Use the results to identify questions that may require further investigation before offering payment terms or entering a significant business relationship.
Corporate and leadership research
Explore parent and subsidiary relationships or analyse the roles held by key people across different companies.
This can help reveal business groups, ownership relationships and decision-making structures that are difficult to understand from a simple contact search.
Tips for better Navigora MCP results
Be specific about what you want to know
A question such as “Tell me about this company” can produce a broad answer.
Instead, specify the decision you are trying to make:
Assess whether this company looks like a financially strong sales prospect. Focus on growth, profitability, financial stability and recent developments.
The clearer the question, the easier it is for the AI assistant to use the relevant Navigora data.
Give the company name or business ID
When researching an individual company, identify it as precisely as possible. A business ID is particularly useful when companies have similar names.
Ask for comparisons, not just numbers
Instead of only requesting revenue or profitability, ask how those figures have developed over time or how they compare with the industry.
Context usually makes the raw data much more useful.
Continue with follow-up questions
You do not need to fit everything into one prompt.
Start with the company or market, review the answer and then ask the AI assistant to investigate the areas that matter most.
Look beyond one data point
Financial figures, credit assessments, company changes, management information and industry benchmarks all provide different perspectives.
Use them together when the decision matters.
From company data to answers — without leaving your AI workflow
Navigora MCP turns your preferred AI assistant into a new way to work with Nordic company intelligence.
Instead of moving between company searches, financial data, decision-maker information and your AI workspace, you can research, compare and analyse companies in one continuous conversation — helping you spend less time gathering information and more time using it.
