Docparser MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Docparser through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"docparser": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Docparser Agent",
instructions:
"You help users interact with Docparser " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Docparser?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Docparser MCP Server
Integrate Docparser, the leading document data extraction platform, directly into your AI workflow. Automate the extraction of structured data from PDFs, scanned documents, and images, monitor your parser configurations, and retrieve parsed results using natural language.
Mastra's agent abstraction provides a clean separation between LLM logic and Docparser tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
What you can do
- Parser Oversight — List and retrieve detailed settings and status for all your document parsers and extraction rules.
- Data Intelligence — Access the actual structured data extracted from your documents, including table data and custom fields.
- Document Tracking — Monitor the processing status of your uploaded documents and identify any extraction failures.
- Result Auditing — Retrieve a chronological feed of recent extraction results across all your active parsers.
The Docparser MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Docparser to Mastra AI via MCP
Follow these steps to integrate the Docparser MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Docparser via MCP
Why Use Mastra AI with the Docparser MCP Server
Mastra AI provides unique advantages when paired with Docparser through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Docparser without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Docparser tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Docparser + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Docparser MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Docparser, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Docparser as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Docparser on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Docparser tools alongside other MCP servers
Docparser MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Docparser to Mastra AI via MCP:
get_docparser_account_metadata
Retrieve metadata and usage limits for your Docparser account
get_document_extraction_results
Get the actual data extracted from a specific document
get_parser_details
Get detailed settings and status for a specific document parser
list_document_parsers
List all document parsers configured in your Docparser account
list_documents_awaiting_parsing
List documents that are currently in the parsing queue
list_failed_document_extractions
Identify documents that failed the parsing or extraction process (mock logic)
list_parsed_documents
List all documents processed by a specific parser
list_recent_extractions
List the most recent document extraction results across all parsers
quick_parser_health_audit
Retrieve a high-level summary of parser activity and success rates
search_parsed_documents
Search for parsed documents by filename within a parser
Example Prompts for Docparser in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Docparser immediately.
"List all documents processed by the 'Invoices' parser."
"Show me the extracted data for document 'DOC-9988' in the 'Orders' parser."
"Are there any document extractions that failed today?"
Troubleshooting Docparser MCP Server with Mastra AI
Common issues when connecting Docparser to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpDocparser + Mastra AI FAQ
Common questions about integrating Docparser MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Docparser with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Docparser to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.