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title: Testing Your MCP Connection with Real Business Central Questions and Best Practices (BLOG 4 OF 4)
summary: Testing a Business Central MCP setup by running real-world business queries through Claude, with two practical scenarios (project budget analysis and inventory visualization) and best practices for security, agent interaction, and maintenance.
tier: community
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  - mcp server
  - api integration
  - claude desktop
  - ai agents
  - budget analysis
  - inventory visibility
  - custom api pages
  - security best practices
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    title: Testing Your MCP Connection with Real Business Central Questions and Best Practices (BLOG 4 OF 4)
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    title: Testing Your MCP Connection with Real Business Central Questions and Best Practices (BLOG 4 OF 4)
    date: "2026-02-12"
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    quote: The value is not in reading individual records. It is in asking business questions and getting visual, actionable answers in seconds.
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post_id: tag:blogger.com,1999:blog-1492436440038408053.post-7429326284625186983
source_id: mohana-blog
source_name: Mohana's Dynamics NAV & BC blog
url: http://mohana-dynamicsnav.blogspot.com/2026/02/testing-scenarios-and-best-practices.html
published_at: "2026-02-12T07:41:00.000Z"
author: Mohana Yadav
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words: 1355
quotes:
  - text: The value is not in reading individual records. It is in asking business questions and getting visual, actionable answers in seconds.
    why_it_matters: Summarizes the transformation from traditional report building to agentic query-driven analysis
code_objects_mentioned:
  - api Project API page
  - api Item API page
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# Testing Your MCP Connection with Real Business Central Questions and Best Practices (BLOG 4 OF 4)

[Read the post](http://mohana-dynamicsnav.blogspot.com/2026/02/testing-scenarios-and-best-practices.html) · Mohana's Dynamics NAV & BC blog (Mohana Yadav) · 2026-02-12 · 1355 words · tier community · reviewed (checked by Opus)

> Testing a Business Central MCP setup by running real-world business queries through Claude, with two practical scenarios (project budget analysis and inventory visualization) and best practices for security, agent interaction, and maintenance.

## Key points

- AI agents connected via MCP can answer complex business questions in plain English by making multiple API calls and generating visual charts automatically
- Custom API pages are needed when standard BC APIs lack required data, like project planning lines for budget analysis
- Conversational queries enable iterative refinement and follow-up analysis without rebuilding reports each time
- Security requires read-only configurations by default, no stored secrets, purpose-specific setups, and audit reviews
- Complex multi-step analyses that traditionally took 15-30 minutes can be completed in seconds through natural language prompts

## Quotes

- "The value is not in reading individual records. It is in asking business questions and getting visual, actionable answers in seconds." (Summarizes the transformation from traditional report building to agentic query-driven analysis)

## AL objects mentioned

As named in the post. A name that matches one object page by exact type and name links to it; the others stay as named.

- api "Project API page"
- api "Item API page"
- table "Job Planning Lines"

Not found in BC28-30: table "Job Planning Lines".

## Context

- Features: Budget vs. actual analysis visualization, Inventory overview charting, Multi-API data aggregation, Interactive chart rendering in Claude Desktop, Conversational query refinement, Cross-data analysis, Least privilege access control, Delegated authentication flow
- Versions: public preview

Source: Mohana's Dynamics NAV & BC blog, community blog. Summary, key points and quotes are derived (CONTENT-NOTICE.md); read the original for the full text.