Datashift MCP Server
Enables AI agents to submit tasks for human or AI review and receive decisions via MCP tools, adding human review checkpoints to workflows.
README
Datashift MCP Server
Model Context Protocol server for Datashift. Allows AI agents to submit tasks for human or AI review and receive decisions via MCP tools.
Overview
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.
Tools
| 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 |
Resources
| Resource | Description |
|---|---|
task:///{task_id} |
Access task details and review status |
Setup
Prerequisites
- Node.js 18+
- A Datashift account with an API key
Installation
npm install
Configuration
Copy .env.example to .env and configure your environment variables.
Build and run
npm run build
npm start
Authentication
Uses 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.
Resources
- 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
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.