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MehrozeKhan73

Business Central MCP Server

bc_query

Reads records from Business Central in bulk using server-side filtered, sorted, and projected OData queries for efficient data retrieval.

Instructions

Reads records from Business Central in bulk using the Standard API v2.0 (OData/REST on port 7048). Use bc_query for efficient server-side filtered, sorted, and projected reads over many records — for example, fetching all open sales orders, listing customers in a city, or pulling G/L entries for a date range. This is far more efficient than using bc_open_page + bc_read_data for bulk reads because filtering and projection happen on the server before any data is transferred.

When to use bc_query: structured data retrieval over standard BC entities, when you need 2+ records with specific field selection, when you want server-side filter/sort/OData operators ($filter, $select, $top, $orderby, $expand), or when you need to inspect a large dataset without driving the BC UI. Entity names are BC Standard API v2.0 names (camelCase): customers, vendors, items, salesOrders, salesInvoices, purchaseOrders, purchaseInvoices, generalLedgerEntries, accounts, journals, journalLines, companies, employees, dimensions, dimensionValues, currencies, paymentTerms, shipmentMethods, paymentMethods, countriesRegions, unitsOfMeasure, taxGroups, contacts. Pass filter as OData $filter syntax (e.g., "city eq 'London'", "amount gt 1000", "postingDate ge 2024-01-01"). Pass select as comma-separated field names (e.g., "number,displayName,city") to limit response size. top defaults to 100 if omitted — pass explicitly to get more or fewer rows. Queries are company-scoped automatically; pass company to target a specific company (see bc_list_companies). The special "companies" entity is the one exception — it is the top-level environment list (not company-scoped), so the company parameter is ignored for it; query it to discover available companies.

When NOT to use bc_query: do not use for UI-driven flows (navigating pages, clicking buttons, filling forms — use bc_open_page + bc_execute_action for those). Do not use bc_query for posting, writing, or triggering BC business logic — OData reads are read-only; use bc_write_data and bc_execute_action for mutations. Do not use for custom/extension entities not in the Standard API v2.0 — those require the UI WebSocket tools. Note: this env uses HTTP Basic auth (NavUserPassword); cloud/SaaS BC requires OAuth — set BC_ODATA_URL and configure OAuth externally for cloud envs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topNoMaximum number of rows to return. Defaults to 100 if omitted to prevent accidental full-table scans. Pass explicitly to get more rows.
entityYesBC Standard API v2.0 entity name (camelCase). Examples: customers, vendors, items, salesOrders, salesInvoices, purchaseOrders, generalLedgerEntries, accounts, companies, employees. See BC Standard API docs for the full list.
expandNoOData $expand for related entities. Examples: "salesLines", "customer($select=displayName)". Use sparingly — expanded entities increase response size significantly.
filterNoOData $filter expression for server-side filtering. Examples: "city eq 'London'", "amount gt 1000", "postingDate ge 2024-01-01 and postingDate le 2024-12-31", "contains(displayName, 'Contoso')". Applied by BC before returning data.
selectNoComma-separated OData $select field names to limit response size. Examples: "number,displayName,city", "id,amount,postingDate". Omit to return all fields.
companyNoOverride the BC company name for this query. Defaults to the server-configured company (BC_ODATA_COMPANY or first available company). Use when querying a specific company in a multi-company BC environment.
orderbyNoOData $orderby expression. Examples: "displayName asc", "postingDate desc", "amount desc,number asc".
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It discloses read-only nature (OData reads), company scoping, default top to prevent full-table scans, auth method (HTTP Basic), and special handling of 'companies' entity. However, it does not describe the response format (e.g., array of objects) or pagination behavior, which would be helpful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections but is somewhat verbose, including repeated entity lists and extended examples. It could be more concise without losing clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters and no output schema, the description is highly complete, covering purpose, usage, parameter syntax, alternatives, auth, and edge cases. It lacks only the response format/pagination details, which slightly reduces completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds significant value beyond schema by providing OData syntax examples for filter, select, orderby, expand, and explaining the default top behavior. It also lists valid entity names and clarifies company scope.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool reads records in bulk via BC Standard API v2.0, specifying a specific verb ('reads') and resource ('records from Business Central'). It distinguishes from sibling tools like bc_open_page and bc_read_data by emphasizing server-side filtering and projection.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit 'When to use' and 'When NOT to use' sections, listing appropriate use cases (e.g., structured data retrieval, bulk reads with server-side operations) and inappropriate ones (e.g., UI-driven flows, writing). It names alternative tools like bc_open_page and bc_execute_action.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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