How to Use the Crelate Talent CRM MCP in Mastra AI

Q: Does Mastra AI support human approval before modifying Crelate Talent CRM records?

Yes, you can use the requireToolApproval option in Mastra. This stops the agent from running createcontact or editing notes until a recruiter reviews and clicks approve.

Q: How do I track recruiter actions across my team?

You can configure a Mastra workflow to periodically run listrecentactivities. This retrieves recent calls, emails, and notes, letting you build automated daily summaries of recruiter performance.

Build bulletproof hiring workflows that sync Crelate Talent CRM data using Mastra AI.

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Connect Crelate Talent CRM MCP to Mastra AI

Create your Vinkius account to connect Crelate Talent CRM to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Crelate Talent CRM with Mastra AI

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Automated Candidate Enrichment with Mastra AI

Recruiting pipelines fall apart when APIs timeout. Mastra AI solves this by wrapping your Crelate operations in workflows with automatic retries. The MCP Server ensures your agent can run `get_contact_details` to fetch candidate profiles, and if the network hiccups, Mastra retries the call behind the scenes. Once the profile is in, the workflow branches based on candidate status. It can automatically trigger `get_contact_notes` to check if they're active, ensuring your recruiters only work with fresh, verified data.

Human-in-the-Loop Contact Creation

You don't want an autonomous agent dumping garbage records into your CRM. Mastra AI lets you require manual approval before running any write actions. When your agent wants to run `create_contact` to add a new candidate, Mastra pauses the run. The workflow pings a recruiter to review the parsed resume details. Once they click approve, the agent executes the tool and uses `list_crelate_users` to assign the new contact to the right owner.

Resilient Job Pipeline Auditing

Keeping your job boards accurate requires constant cross-referencing. This MCP Server lets your Mastra workflows pull active requisitions via `list_jobs` and verify them against client accounts. If a client company status changes, the workflow updates the job records automatically. The workflow uses `list_companies` to fetch client records and compares them to open jobs. If a mismatch is found, Mastra's branching logic can alert your team or update the job details without manual intervention.

Setup guide

Set up Crelate Talent CRM MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Crelate Talent CRM tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "crelate-talent-crm-mcp-client",
  servers: {
    "crelate-talent-crm-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Crelate Talent CRM Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Crelate Talent CRM tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Crelate Talent CRM transactions"
);
console.log(result.text);

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Common questions about Crelate Talent CRM MCP in Mastra AI

Mastra AI includes built-in exponential backoff. If you call `list_contacts` and hit a rate limit, the workflow engine pauses and retries the request automatically until the data is fetched.

Yes, you can set up branching logic. For example, your agent can search for a person using `search_contacts_by_name`, and if they don't exist, branch to execute `create_contact` to add them.

Yes, you can use the `requireToolApproval` option in Mastra. This stops the agent from running `create_contact` or editing notes until a recruiter reviews and clicks approve.

You can configure a Mastra workflow to periodically run `list_recent_activities`. This retrieves recent calls, emails, and notes, letting you build automated daily summaries of recruiter performance.

Your Crelate API keys are stored in your own secure environment variables and never touch third-party databases. The MCP Server processes candidate profiles and recruitment activity logs locally within a secure, ephemeral sandbox environment.

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