How to Use the Concord CLM MCP in Mastra AI

Q: How do I automate Concord CLM signatures in Mastra AI?

Add the sendforsignature tool to your Mastra AI agent definition. You can then trigger this as part of a multi-step workflow based on a previous event.

Q: Can Mastra AI search for Concord CLM files?

Use the searchagreementsbyname tool to find specific documents. Your agent will receive the results as a structured object for further processing.

Q: Does this MCP Server allow Mastra AI to list all agreements?

Yes, listagreements provides a full audit of your current document library. You can chain this with other tools to perform bulk analysis.

Build automated contract workflows in Mastra AI with this Concord CLM integration.

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Connect Concord CLM MCP to Mastra AI

Create your Vinkius account to connect Concord CLM 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 Concord CLM with Mastra AI

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Automated signature pipelines for Mastra AI

Chain your logic by using `create_agreement` followed by `send_for_signature` in a single Mastra AI workflow. If the signature fails, the engine handles the retry logic automatically. Define conditional branches that trigger when `list_signed_agreements` returns a new entry. Your agents can then move the file to your storage bucket without manual oversight.

Monitor Concord CLM webhooks with Mastra AI

Use `list_webhooks` to see what is currently registered for your account. This lets your agents react to external changes in the document status. Your Mastra AI workflows can poll these endpoints to ensure your records are current. It removes the need for manual status checks on your side.

Advanced agent control with this MCP Server

Control access to sensitive actions by using `requireToolApproval` on the `send_for_signature` tool. This forces a human to click accept before the agent fires off a contract. Your agents can also query `get_agreement` to pull specific metadata for complex decision-making. It gives your automation the deep context it needs to function properly.

Setup guide

Set up Concord CLM 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 Concord CLM 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: "concord-clm-mcp-client",
  servers: {
    "concord-clm-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Concord CLM transactions"
);
console.log(result.text);

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Common questions about Concord CLM MCP in Mastra AI

Add the `send_for_signature` tool to your Mastra AI agent definition. You can then trigger this as part of a multi-step workflow based on a previous event.

Use the `search_agreements_by_name` tool to find specific documents. Your agent will receive the results as a structured object for further processing.

Yes, `list_agreements` provides a full audit of your current document library. You can chain this with other tools to perform bulk analysis.

All document data is handled in memory. We strip your request logs immediately after the workflow execution cycle completes.

We store your authentication tokens in a hardened vault. Your private contract contents are never cached and are encrypted in transit.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python