Dataverse MCP Server
Enables direct interaction with Microsoft Dataverse from Claude Desktop, supporting full CRUD, bulk operations, FetchXML queries, actions, and metadata discovery.
README
Dataverse MCP Server
A production-grade Model Context Protocol (MCP) server for Microsoft Dataverse, built with Node.js/TypeScript. Connects Claude Desktop directly to your Dataverse / Power Platform environment with full CRUD, bulk operations, FetchXML, Dataverse actions, and metadata discovery.
Tool Catalog
Auth
| Tool | Description |
|---|---|
whoami |
Show the currently signed-in Microsoft account |
sign_out |
Sign out and clear the cached credentials |
Read
| Tool | Description |
|---|---|
get_record |
Fetch a single record by GUID with optional field selection and expand |
query_records |
Query records using OData $filter, $select, $orderby, $top, $expand, and pagination |
execute_fetchxml |
Run a FetchXML query — supports aggregates, linked entities, and grouping |
Write
| Tool | Description |
|---|---|
create_record |
Create a single record, returns the new GUID |
update_record |
Update specific fields on an existing record (PATCH — only provided fields change) |
upsert_record |
Create or update a record with a known GUID (PUT semantics) |
delete_record |
Delete a single record by GUID |
associate_records |
Link two records via a navigation property |
disassociate_records |
Remove a relationship link between two records |
Bulk
| Tool | Description |
|---|---|
bulk_create_records |
Create up to 1000 records in one call via OData $batch. Tracks per-record success/failure. |
bulk_update_records |
Update up to 1000 records in one call via OData $batch. Each item requires a recordId and data (PATCH semantics). Tracks per-record success/failure. |
bulk_delete_records |
Delete up to 1000 records in one call via OData $batch. Tracks per-record success/failure. |
batch_transaction |
Execute up to 100 mixed operations atomically — if any fails, all roll back |
Actions
| Tool | Description |
|---|---|
execute_action |
Execute a Dataverse bound or unbound action (e.g. WinOpportunity, custom workflow actions) |
Metadata
| Tool | Description |
|---|---|
describe_table |
Full schema for a table: all columns, types, required levels, and all relationships. Cached 5 min. |
list_tables |
List all available tables, filterable by name or custom-only. Cached 5 min. |
get_option_set_values |
Fetch all choice values (code + label) for a local choice column or global option set |
refresh_metadata_cache |
Invalidate cached schema so the next call fetches fresh data from Dataverse |
Features
- Authentication — Microsoft Device Code flow (MSAL). No client secret or redirect URI needed. Silent token renewal; persistent token cache.
- Retry with backoff — Automatic exponential backoff on
429 Too Many Requestsand5xxerrors, withRetry-Afterheader support. - Metadata caching —
describe_tableandlist_tablesresults cached in-memory (TTL configurable, default 5 min), eliminating redundant API calls. - Atomic batch transactions —
batch_transactionwraps all operations in a single OData changeset. Dataverse rolls back everything on any failure. - Structured logging — JSON-formatted logs to
stderr(stdout is reserved for MCP JSON-RPC). Log level configurable via env var. - Strong input validation — All tool inputs validated with Zod before hitting the API. Validation errors return clear, actionable messages.
- Request timeouts — All HTTP calls have a configurable timeout (default 30s). Batch calls have extended timeouts (60–120s).
Prerequisites
- Node.js 18+
- A Microsoft Dataverse / Power Platform environment URL
- A Microsoft account with access to that environment
No Azure App Registration is required — the server uses the well-known Azure CLI public client by default.
Setup
1. Install dependencies
npm install
2. Configure environment
macOS / Linux:
cp .env.example .env
Windows (PowerShell):
copy .env.example .env
Edit .env — only DATAVERSE_URL is required:
# Required
DATAVERSE_URL=https://yourorg.crm.dynamics.com
# Optional — only needed if you want your own Azure App Registration
# AZURE_CLIENT_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
# AZURE_TENANT_ID=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
# Optional — tuning
# TOKEN_CACHE_PATH=./.token-cache.json
# LOG_LEVEL=info # debug | info | warn | error
# REQUEST_TIMEOUT_MS=30000
# MAX_RETRIES=3
# METADATA_CACHE_TTL_MS=300000
3. Build
npm run build
Claude Desktop Integration
1. Locate your configuration file
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
2. Add the server configuration
Add the following to the mcpServers section of your configuration file, adjusting the paths to match your installation:
macOS
{
"mcpServers": {
"dataverse": {
"command": "node",
"args": ["/Users/YOUR_USERNAME/path/to/dataverse-mcp/dist/index.js"],
"env": {
"DATAVERSE_URL": "https://yourorg.crm.dynamics.com",
"TOKEN_CACHE_PATH": "/Users/YOUR_USERNAME/path/to/dataverse-mcp/.token-cache.json"
}
}
}
}
Windows
{
"mcpServers": {
"dataverse": {
"command": "node",
"args": ["C:\\Users\\YOUR_USERNAME\\path\\to\\dataverse-mcp\\dist\\index.js"],
"env": {
"DATAVERSE_URL": "https://yourorg.crm.dynamics.com",
"TOKEN_CACHE_PATH": "C:\\Users\\YOUR_USERNAME\\path\\to\\dataverse-mcp\\.token-cache.json"
}
}
}
}
Note: On Windows, make sure to use double backslashes (
\\) in paths.
On first use, a device code login prompt will appear in the Claude Desktop logs. Open the URL shown and enter the code to authenticate. Subsequent calls use the cached token silently.
Usage Examples
Query records with a filter
Show me all active accounts in Dataverse, just the name and email fields
Claude calls query_records:
{
"tableName": "account",
"select": ["name", "emailaddress1"],
"filter": "statecode eq 0",
"orderBy": "name asc",
"top": 50
}
Discover a table's schema before writing
What fields does the 'contact' table have?
Claude calls describe_table → returns all attributes, types, required levels, and relationships.
Create a single record
{
"tableName": "contact",
"data": {
"firstname": "Jane",
"lastname": "Smith",
"emailaddress1": "jane@contoso.com"
}
}
Bulk update records
{
"tableName": "contact",
"items": [
{ "recordId": "00000000-0000-0000-0000-000000000001", "data": { "jobtitle": "Manager" } },
{ "recordId": "00000000-0000-0000-0000-000000000002", "data": { "jobtitle": "Director", "emailaddress1": "d@contoso.com" } }
]
}
Returns per-record success/failure — partial success is fully supported.
Bulk create 1000 records
{
"tableName": "contact",
"items": [
{ "firstname": "Alice", "emailaddress1": "alice@contoso.com" },
{ "firstname": "Bob", "emailaddress1": "bob@contoso.com" }
]
}
Returns per-record success/failure — partial success is fully supported.
Atomic batch transaction
{
"operations": [
{ "type": "create", "tableName": "account", "data": { "name": "Contoso" } },
{ "type": "update", "tableName": "contact", "recordId": "00000000-...", "data": { "jobtitle": "CEO" } },
{ "type": "delete", "tableName": "lead", "recordId": "00000000-..." }
]
}
All three operations succeed together or all roll back — no partial state.
FetchXML for complex queries
{
"tableName": "account",
"fetchXml": "<fetch aggregate='true'><entity name='account'><attribute name='revenue' aggregate='sum' alias='total_revenue'/><filter><condition attribute='statecode' operator='eq' value='0'/></filter></entity></fetch>"
}
Execute a Dataverse action
{
"actionName": "WinOpportunity",
"parameters": {
"OpportunityClose": { "subject": "Won deal", "opportunityid": { "@odata.type": "Microsoft.Dynamics.CRM.opportunity", "opportunityid": "00000000-..." } },
"Status": 3
},
"boundTableName": "opportunity",
"boundRecordId": "00000000-..."
}
Architecture
src/
├── config.ts # Env config + validation
├── index.ts # MCP server + dynamic tool dispatch
├── auth/
│ └── AuthManager.ts # MSAL token lifecycle (silent → device code)
├── services/dataverse/
│ ├── DataverseClient.ts # HTTP client, retry, timeout, auth interceptors
│ ├── BatchBuilder.ts # OData $batch body construction
│ ├── BatchParser.ts # Multipart response parser
│ ├── MetadataCache.ts # TTL-based metadata cache
│ └── types.ts # Shared interfaces
├── tools/
│ ├── registry.ts # Tool name → handler map
│ ├── schemas.ts # Zod input schemas
│ ├── definitions.ts # MCP ListTools definitions
│ └── handlers/
│ ├── auth.ts # whoami, sign_out
│ ├── read.ts # get_record, query_records, execute_fetchxml
│ ├── write.ts # create, update, upsert, delete, associate, disassociate
│ ├── bulk.ts # bulk_create, bulk_delete, batch_transaction
│ ├── metadata.ts # describe_table, list_tables, refresh_metadata_cache
│ └── actions.ts # execute_action
└── utils/
├── logger.ts # Structured JSON logger → stderr
├── errors.ts # Typed errors + MCP error formatter
└── retry.ts # Exponential backoff + Retry-After
How Bulk Operations Work
OData $batch packs multiple operations into a single HTTP request. This server processes up to 100 records per batch request, chunking automatically for larger payloads.
Parallel bulk (bulk_create_records, bulk_delete_records): each operation is in its own changeset — partial success is tracked per record. One failure does not block others.
Atomic batch (batch_transaction): all operations share a single changeset. Dataverse treats it as a transaction — any failure rolls back all operations in the batch.
Running Tests
npm test
60 tests across 6 suites: tool handler validation, schema validation, batch response parsing, retry logic.
Optional: Custom Azure App Registration
If you need specific API permissions or want to restrict the application identity, register your own app:
- portal.azure.com → Azure Active Directory → App registrations → New registration
- Supported account types: Single tenant
- Platform: Mobile and desktop applications (no redirect URI needed for device code flow)
- API permissions → Add a permission → Dynamics CRM → Delegated →
user_impersonation - Grant admin consent
- Copy the Application (client) ID and Directory (tenant) ID to your
.env
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