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How to integrate Signwell MCP with Mastra AI

Connect Mastra AI to Signwell MCP. Send nda document for signature to client, list all pending documents awaiting signatures, and more using natural language, with authentication handled for you.

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SignWell is an electronic signature platform for creating and sending legally binding documents. It streamlines contract signing and automates workflows for faster turnaround.

12 Tools

Introduction

This guide walks you through connecting Signwell to Mastra AI using the Composio tool router. By the end, you'll have a working Signwell agent that can create documents from templates, update and send documents for signature, send signing reminders, track bulk sends, and manage webhooks through natural language commands.

This guide will help you understand how to give your Mastra AI agent real control over a Signwell account through Composio's Signwell MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Signwell with

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TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Signwell tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Signwell tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Signwell agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

What is the Signwell MCP server, and what's possible with it?

The Signwell MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Signwell account. It provides structured and secure access to your document signing workflow, so your agent can perform actions like sending signature requests, managing documents, handling webhooks, and retrieving account info on your behalf.

  • Automated document creation and sending: Have your agent generate new documents and instantly send them out for e-signature—no manual uploads or email juggling required.
  • Real-time document status retrieval: Let your agent fetch the latest status and details of any document, so you always know who has signed and what’s still pending.
  • Bulk send management: Effortlessly list and track large batches of signature requests, helping you stay organized when sending documents to multiple recipients.
  • Webhook automation and monitoring: Register or remove webhooks so your agent can monitor document events and respond instantly to completed, signed, or cancelled documents.
  • Credential and account validation: Quickly check and verify your Signwell account details and API credentials directly through your agent.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Signwell through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Signwell

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["signwell"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Signwell MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "signwell" for Signwell access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Signwell toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "signwell-mastra-agent",
    instructions: "You are an AI agent with Signwell tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

  if (!trimmedInput) {
    rl.prompt();
    return;
  }

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        signwell: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Signwell toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Signwell and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["signwell"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      signwell: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "signwell-mastra-agent",
    instructions: "You are an AI agent with Signwell tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { signwell: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Signwell through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
TOOLS

Supported Tools

Every Signwell action and event your agent gets out of the box.

Create Document

Tool to create and optionally send a new document for signing.

Create Document from Template

Tool to create and optionally send a new document for signing from a template.

Create Webhook

Tool to register a webhook callback URL.

Delete Document

Tool to delete a document (and cancel signing if in progress).

Delete Webhook

Deletes a registered webhook by its ID.

Get Credentials

Retrieve account, user, workspace, and contact information associated with the authenticated API key.

Get Document

Fetch a document by ID and return its document details, including recipient and signing information.

List Bulk Sends

Tool to list all Bulk Sends.

List Webhooks

Tool to list all registered webhooks.

Send Reminder

Send a reminder for a document to recipients who have not signed yet.

Update and Send Document

Tool to update a draft document and send it to recipients for signing.

Update Template

Tool to update an existing template in SignWell.

FRAMEWORKS

How to build Signwell MCP Agent with another framework

Claude Code logo

Claude Code

Use Signwell MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Signwell MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Signwell MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Signwell MCP with Claude Agent SDK

Codex logo

Codex

Use Signwell MCP with Codex

OpenClaw logo

OpenClaw

Use Signwell MCP with OpenClaw

Hermes logo

Hermes

Use Signwell MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Signwell MCP with Atomic Agent

Google ADK logo

Google ADK

Use Signwell MCP with Google ADK

LangChain logo

LangChain

Use Signwell MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Signwell MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Signwell MCP with LlamaIndex

CrewAI logo

CrewAI

Use Signwell MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Signwell MCP with Pydantic AI

AutoGen logo

AutoGen

Use Signwell MCP with AutoGen

FAQ

Frequently asked questions

With a standalone Signwell MCP server, the agents and LLMs can only access a fixed set of Signwell tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Signwell and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Signwell tools.

Yes, absolutely. You can configure which Signwell scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Signwell data and credentials are handled as safely as possible.

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