io.github.zhound420/d365fo-connector

@zhound/d365fo-mcp-server

Query and manage Microsoft Dynamics 365 Finance & Operations via MCP

6 11/wk 0 tools GitHub npm

No known CVEs

No license

Maintained

Last commit 64d ago

Works with most clients

Transport: stdio, http

0 tools

Grade F

Edit this pageView history

Data Finance

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "Microsoft D365": {
      "env": {
        "D365_CLIENT_ID": "your-client-id",
        "D365_TENANT_ID": "your-tenant-id",
        "D365_CLIENT_SECRET": "your-client-secret",
        "D365_ENVIRONMENT_URL": "https://your-env.operations.dynamics.com"
      },
      "args": [
        "/path/to/d365fo-mcp-server/dist/index.js"
      ],
      "command": "node"
    }
  }
}

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Read me

What io.github.zhound420/d365fo-connector does

An MCP (Model Context Protocol) server that provides access to Microsoft Dynamics 365 Finance & Operations environments. Enables AI assistants like Claude to explore D365 metadata, query data, and perform write operations on non-production environments.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y '@zhound/d365fo-mcp-server' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

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Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

51/100across 5 weighted dimensions

How we score →

0255075100

−49

Security

Maintenance

Efficiency

Documentation

Compatibility

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Security

OSV.dev

No known CVEs.

Checked @zhound/d365fo-mcp-server against OSV.dev.

Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.zhound420/d365fo-connector safe to use?: io.github.zhound420/d365fo-connector has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.zhound420/d365fo-connector?: io.github.zhound420/d365fo-connector supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with io.github.zhound420/d365fo-connector?: io.github.zhound420/d365fo-connector is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.zhound420/d365fo-connector actively maintained?: io.github.zhound420/d365fo-connector is recently maintained — last commit was 64 days ago. It has 6 GitHub stars.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

{ "mcpServers": { "Microsoft D365": { "env": { "D365_CLIENT_ID": "your-client-id", "D365_TENANT_ID": "your-tenant-id", "D365_CLIENT_SECRET": "your-client-secret", "D365_ENVIRONMENT_URL": "https://your-env.operations.dynamics.com" }, "args": [ "/path/to/d365fo-mcp-server/dist/index.js" ], "command": "node" } } }

Features

Multi-Environment Support - Connect to multiple D365 environments (production, UAT, dev)

Read/Write Operations - Query data on all environments; create, update, delete on non-production only

Production Safety - Production environments are always read-only by design

MCP Resources for schema discovery and metadata exploration

22 Specialized Tools for flexible data access, aggregation, batch operations, and analysis

Environment Dashboard - Health monitoring, API statistics, and operation tracking

Secure Authentication via Azure AD client credentials

Automatic Metadata Caching (24-hour TTL, per-environment)

Architecture

Resources

Resource	URI	Purpose
Entities List	`d365://entities?filter=<pattern>`	List all entities with optional wildcard filtering
Entity Schema	`d365://entity/{entityName}`	Full schema for any entity (fields, keys, navigation properties)
Navigation Properties	`d365://navigation/{entityName}`	Entity relationships and navigation properties
Enum Definitions	`d365://enums`	All enum types with their values
Saved Queries	`d365://queries`	List saved query templates
Dashboard	`d365://dashboard`	JSON metrics for all environments (health, API stats, recent operations)

Resource

URI

Purpose

Entities List

d365://entities?filter=<pattern>

List all entities with optional wildcard filtering

Entity Schema

d365://entity/{entityName}

Full schema for any entity (fields, keys, navigation properties)

Navigation Properties

d365://navigation/{entityName}

Entity relationships and navigation properties

Enum Definitions

d365://enums

All enum types with their values

Saved Queries

d365://queries

List saved query templates

Dashboard

d365://dashboard

JSON metrics for all environments (health, API stats, recent operations)

Tools

All tools support an optional environment parameter to target specific D365 environments.

Tool	Purpose
`list_environments`	List all configured D365 environments with connection status
`set_environment`	Set the working environment for the current session
`describe_entity`	Quick schema lookup for an entity
`execute_odata`	Execute raw OData paths (queries, single records, counts)
`aggregate`	Perform aggregations (SUM, AVG, COUNT, MIN, MAX, COUNTDISTINCT, percentiles) on entity data
`get_related`	Follow entity relationships to retrieve related records
`export`	Export query results to CSV, JSON, or TSV format
`compare_periods`	YoY, QoQ, MoM period comparisons with change calculations
`trending`	Time series analysis with growth rates and moving averages
`save_query`	Save reusable query templates with parameter support
`execute_saved_query`	Execute saved query templates with parameter substitution
`delete_saved_query`	Delete saved query templates
`join_entities`	Cross-entity joins using $expand or client-side join
`batch_query`	Execute multiple queries in parallel
`search_entity`	Robust entity search with automatic fallback strategies
`analyze_customer`	Comprehensive single-call customer analysis
`create_record`	Create new records (non-production environments only)
`update_record`	Update existing records (non-production environments only)
`delete_record`	Delete records (non-production environments only)
`batch_crud`	Execute multiple create/update/delete operations in a single batch request (non-production only)
`compare_schemas`	Compare entity schemas between two environments to detect schema drift
`dashboard`	Display environment dashboard with health status, API statistics, and recent operations

Tool

Purpose

list_environments

List all configured D365 environments with connection status

set_environment

Set the working environment for the current session

describe_entity

Quick schema lookup for an entity

execute_odata

Execute raw OData paths (queries, single records, counts)

aggregate

Perform aggregations (SUM, AVG, COUNT, MIN, MAX, COUNTDISTINCT, percentiles) on entity data

get_related

Follow entity relationships to retrieve related records

export

Export query results to CSV, JSON, or TSV format

compare_periods

YoY, QoQ, MoM period comparisons with change calculations

trending

Time series analysis with growth rates and moving averages

save_query

Save reusable query templates with parameter support

execute_saved_query

Execute saved query templates with parameter substitution

delete_saved_query

Delete saved query templates

join_entities

Cross-entity joins using $expand or client-side join

batch_query

Execute multiple queries in parallel

search_entity

Robust entity search with automatic fallback strategies

analyze_customer

Comprehensive single-call customer analysis

create_record

Create new records (non-production environments only)

update_record

Update existing records (non-production environments only)

delete_record

Delete records (non-production environments only)

batch_crud

Execute multiple create/update/delete operations in a single batch request (non-production only)

compare_schemas

Compare entity schemas between two environments to detect schema drift

dashboard

Display environment dashboard with health status, API statistics, and recent operations

Frequently Asked Questions

Is io.github.zhound420/d365fo-connector safe to use?

io.github.zhound420/d365fo-connector has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.zhound420/d365fo-connector?

io.github.zhound420/d365fo-connector supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with io.github.zhound420/d365fo-connector?

io.github.zhound420/d365fo-connector is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is io.github.zhound420/d365fo-connector actively maintained?

io.github.zhound420/d365fo-connector is recently maintained — last commit was 64 days ago. It has 6 GitHub stars.

Features

Multi-Environment Support - Connect to multiple D365 environments (production, UAT, dev)

Read/Write Operations - Query data on all environments; create, update, delete on non-production only

Production Safety - Production environments are always read-only by design

MCP Resources for schema discovery and metadata exploration

22 Specialized Tools for flexible data access, aggregation, batch operations, and analysis

Environment Dashboard - Health monitoring, API statistics, and operation tracking

Secure Authentication via Azure AD client credentials

Automatic Metadata Caching (24-hour TTL, per-environment)

Architecture

Resources

Resource	URI	Purpose
Entities List	`d365://entities?filter=<pattern>`	List all entities with optional wildcard filtering
Entity Schema	`d365://entity/{entityName}`	Full schema for any entity (fields, keys, navigation properties)
Navigation Properties	`d365://navigation/{entityName}`	Entity relationships and navigation properties
Enum Definitions	`d365://enums`	All enum types with their values
Saved Queries	`d365://queries`	List saved query templates
Dashboard	`d365://dashboard`	JSON metrics for all environments (health, API stats, recent operations)

Resource

URI

Purpose

Entities List

d365://entities?filter=<pattern>

List all entities with optional wildcard filtering

Entity Schema

d365://entity/{entityName}

Full schema for any entity (fields, keys, navigation properties)

Navigation Properties

d365://navigation/{entityName}

Entity relationships and navigation properties

Enum Definitions

d365://enums

All enum types with their values

Saved Queries

d365://queries

List saved query templates

Dashboard

d365://dashboard

JSON metrics for all environments (health, API stats, recent operations)

Tools

All tools support an optional environment parameter to target specific D365 environments.

Tool	Purpose
`list_environments`	List all configured D365 environments with connection status
`set_environment`	Set the working environment for the current session
`describe_entity`	Quick schema lookup for an entity
`execute_odata`	Execute raw OData paths (queries, single records, counts)
`aggregate`	Perform aggregations (SUM, AVG, COUNT, MIN, MAX, COUNTDISTINCT, percentiles) on entity data
`get_related`	Follow entity relationships to retrieve related records
`export`	Export query results to CSV, JSON, or TSV format
`compare_periods`	YoY, QoQ, MoM period comparisons with change calculations
`trending`	Time series analysis with growth rates and moving averages
`save_query`	Save reusable query templates with parameter support
`execute_saved_query`	Execute saved query templates with parameter substitution
`delete_saved_query`	Delete saved query templates
`join_entities`	Cross-entity joins using $expand or client-side join
`batch_query`	Execute multiple queries in parallel
`search_entity`	Robust entity search with automatic fallback strategies
`analyze_customer`	Comprehensive single-call customer analysis
`create_record`	Create new records (non-production environments only)
`update_record`	Update existing records (non-production environments only)
`delete_record`	Delete records (non-production environments only)
`batch_crud`	Execute multiple create/update/delete operations in a single batch request (non-production only)
`compare_schemas`	Compare entity schemas between two environments to detect schema drift
`dashboard`	Display environment dashboard with health status, API statistics, and recent operations

Tool

Purpose

list_environments

List all configured D365 environments with connection status

set_environment

Set the working environment for the current session

describe_entity

Quick schema lookup for an entity

execute_odata

Execute raw OData paths (queries, single records, counts)

aggregate

Perform aggregations (SUM, AVG, COUNT, MIN, MAX, COUNTDISTINCT, percentiles) on entity data

get_related

Follow entity relationships to retrieve related records

export

Export query results to CSV, JSON, or TSV format

compare_periods

YoY, QoQ, MoM period comparisons with change calculations

trending

Time series analysis with growth rates and moving averages

save_query

Save reusable query templates with parameter support

execute_saved_query

Execute saved query templates with parameter substitution

delete_saved_query

Delete saved query templates

join_entities

Cross-entity joins using $expand or client-side join

batch_query

Execute multiple queries in parallel

search_entity

Robust entity search with automatic fallback strategies

analyze_customer

Comprehensive single-call customer analysis

create_record

Create new records (non-production environments only)

update_record

Update existing records (non-production environments only)

delete_record

Delete records (non-production environments only)

batch_crud

Execute multiple create/update/delete operations in a single batch request (non-production only)

compare_schemas

Compare entity schemas between two environments to detect schema drift

dashboard

Display environment dashboard with health status, API statistics, and recent operations

io.github.zhound420/d365fo-connector

Install in your client

What io.github.zhound420/d365fo-connector does

Test This Server

Why this score

51/100across 5 weighted dimensions

Security

Reviews

Frequently Asked Questions

Similar servers

Discussion

io.github.zhound420/d365fo-connector

Install in your client

What io.github.zhound420/d365fo-connector does

Test This Server

D365 Finance & Operations MCP Server

Features

Architecture

Resources

Tools

Installation

From npm (Recommended)

From Source

Quick Start (Recommended)

Why this score

51/100across 5 weighted dimensions

Security

Reviews

Frequently Asked Questions

Similar servers

Discussion

D365 Finance & Operations MCP Server

Features

Architecture

Resources

Tools

Installation

From npm (Recommended)

From Source

Quick Start (Recommended)