JobScore 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 JobScore through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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: {
"jobscore": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "JobScore Agent",
instructions:
"You help users interact with JobScore " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with JobScore?"
);
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 JobScore MCP Server
Empower your AI agents with JobScore's comprehensive applicant tracking system. This MCP server allows you to list and retrieve job postings, track candidates, manage hiring teams and departments, and view hiring sources directly through the JobScore API. Ideal for automating recruitment workflows and talent acquisition.
Mastra's agent abstraction provides a clean separation between LLM logic and JobScore 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.
The JobScore 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 JobScore to Mastra AI via MCP
Follow these steps to integrate the JobScore 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 JobScore via MCP
Why Use Mastra AI with the JobScore MCP Server
Mastra AI provides unique advantages when paired with JobScore through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add JobScore 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 JobScore 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
JobScore + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the JobScore MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query JobScore, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed JobScore as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query JobScore on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using JobScore tools alongside other MCP servers
JobScore MCP Tools for Mastra AI (10)
These 10 tools become available when you connect JobScore to Mastra AI via MCP:
get_candidate
Returns contact history, resume highlights (if available), and current application status. Use this before an interview or when evaluating an applicant. Retrieves details for a specific candidate
get_job
Includes job descriptions, requirements, and hiring team identifiers. Use this to provide detailed information about a specific opening. Retrieves details for a specific job
get_me
Use this to verify connection status and identity. Gets current authenticated user info
list_candidates
Includes candidate names, current stage, and IDs. Essential for monitoring the talent pool and identifying new applications. Lists all candidates
list_departments
g., Engineering, Marketing) used to categorize jobs in JobScore. Useful for filtering hiring data by business unit. Lists all departments
list_hiring_teams
Useful for identifying recruiters and hiring managers associated with specific jobs. Lists all hiring teams
list_jobs
Returns job titles, IDs, and departments. Use this to identify active positions or find a job ID for candidate management. Lists all jobs in JobScore
list_locations
Useful for understanding the geographical scope of hiring efforts. Lists all office locations
list_sources
g., "LinkedIn", "Referral", "Job Board") from which candidates are originating. Essential for analyzing the effectiveness of hiring channels. Lists all candidate sources
list_users
Useful for identifying team members and their roles. Lists all users in the account
Example Prompts for JobScore in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with JobScore immediately.
"List all open jobs in JobScore."
"Show me the details for candidate ID '789'."
"Check the hiring team for the 'Software Engineer' job."
Troubleshooting JobScore MCP Server with Mastra AI
Common issues when connecting JobScore to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJobScore + Mastra AI FAQ
Common questions about integrating JobScore 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 JobScore with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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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 JobScore to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.