Model Context Protocol server for Datashift. Allows AI agents to submit tasks for human or AI review and receive decisions via MCP tools.
Datashift adds human review checkpoints to AI agent workflows. This MCP server enables agent-initiated review — the agent decides when to request human oversight based on its own reasoning.
| Tool | Description |
|---|---|
submit_task |
Submit a task for review (approval, classification, scoring, labeling, augmentation) |
get_task |
Check task status and retrieve review results |
list_queues |
List available review queues |
get_queue |
Get queue configuration and review options |
| Resource | Description |
|---|---|
task:///{task_id} |
Access task details and review status |
- Node.js 18+
- A Datashift account with an API key
npm installCopy .env.example to .env and configure your environment variables.
npm run build
npm startUses OAuth 2.0 with PKCE for secure agent authentication. AI agents obtain a JWT from the Datashift API's OAuth endpoints, which is validated by the MCP server and passed through to API calls.
- Datashift Website — Product overview and sign up
- Documentation — Guides, API reference, and examples
- MCP Documentation — MCP-specific setup and usage
- SDK — TypeScript and Python SDKs for developer-enforced review
- Console — Manage queues, reviewers, and API keys
- GitHub — SDKs and sample projects
MIT