# How to integrate Eagle doc MCP with Mastra AI

```json
{
  "title": "How to integrate Eagle doc MCP with Mastra AI",
  "toolkit": "Eagle doc",
  "toolkit_slug": "eagle_doc",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/eagle_doc/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/eagle_doc/framework/mastra-ai.md",
  "updated_at": "2026-03-29T06:31:52.589Z"
}
```

## Introduction

This guide walks you through connecting Eagle doc to Mastra AI using the Composio tool router. By the end, you'll have a working Eagle doc agent that can extract vendor name from uploaded invoice, summarize total expenses from receipt batch, list all line items from this receipt through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Eagle doc account through Composio's Eagle doc MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Eagle doc with

- [OpenAI Agents SDK](https://composio.dev/toolkits/eagle_doc/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/eagle_doc/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/eagle_doc/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/eagle_doc/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/eagle_doc/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/eagle_doc/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/eagle_doc/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/eagle_doc/framework/cli)
- [Google ADK](https://composio.dev/toolkits/eagle_doc/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/eagle_doc/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/eagle_doc/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/eagle_doc/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/eagle_doc/framework/crew-ai)

## 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 Eagle doc tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Eagle doc 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 Eagle doc 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 Eagle doc MCP server, and what's possible with it?

The Eagle doc MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Eagle doc account. It provides structured and secure access so your agent can perform Eagle doc operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `EAGLE_DOC_ANY_DOC_OCR` | Process Any Document with OCR | Tool to process any document type with OCR and automatic classification. Supports bank statements, resumes, passports, delivery sheets, and more. Use when you need to extract structured data from various document types. |
| `EAGLE_DOC_BATCH_ANY_DOC_OCR` | Submit Batch Any Document OCR Task | Tool to submit batch OCR processing tasks for various document types including bank statements, resumes, passports, delivery sheets, and more. Use when you need to asynchronously process documents with custom configurations. The task is processed asynchronously; use the Results Check API with the returned task ID to monitor status and retrieve results. |
| `EAGLE_DOC_BATCH_TASK_DELETE` | Delete Batch Processing Task | Tool to delete a submitted batch processing task from the queue. Use when you need to cancel or remove a previously submitted batch OCR task before processing completes. |
| `EAGLE_DOC_INVOICE_OCR_BASE64` | Eagle Doc Invoice OCR from Base64 | Tool to extract invoice data from base64 encoded images using Eagle Doc OCR API. Use when you need to process invoice images that are already base64 encoded. Supports optional parameters for privacy control, coordinate extraction, and full text extraction. |
| `EAGLE_DOC_GET_MANAGEMENT_QUOTA` | Get Management Quota | Tool to get contractual quota allowance and current usage counters for all workloads. Use when you need to check remaining capacity for dashboards or billing workflows. |
| `EAGLE_DOC_RECEIPT_OCR_V1_LEGACY` | Receipt OCR V1 (Legacy) | Tool to process receipt images with v1 API to extract structured data. Use when you need to extract merchant details, line items, totals, and payment information from receipt images or PDFs. Note: This is a deprecated legacy version; consider using newer API versions if available. |
| `EAGLE_DOC_RECEIPT_OCR_V3` | Receipt OCR V3 | Tool to process receipt images into structured JSON with 40+ fields including merchant info, line items, taxes, and payments. Use when extracting detailed data from receipt images or PDFs. |
| `EAGLE_DOC_GET_RECEIPT_QUOTA_V1` | Get Receipt Quota V1 | Tool to get quota information for receipt processing API v1 (deprecated). Use when you need to check remaining quota for receipt OCR processing. |
| `EAGLE_DOC_GET_RECEIPT_QUOTA_V2_DEPRECATED` | Get Receipt Quota V2 (Deprecated) | Tool to get quota information for receipt processing API v2 (deprecated). Use when you need to check available quota and usage for receipt OCR processing. Note: Multi-page receipts count each page as one request. |
| `EAGLE_DOC_EXTRACT_RESUME_INFORMATION` | Extract Resume Information | Tool to extract candidate information from resumes using OCR. Use when you need to parse resume documents and extract structured data including work experience, education, skills, certifications, and contact details. Supports PNG, JPG, TIF, and PDF formats. |
| `EAGLE_DOC_GET_CURRENT_MONTH_USAGE` | Get Current Month Usage | Tool to get current month's usage statistics including quota, pages processed, over-usage, and costs. Use when you need to check API usage and billing information for the current billing period. |
| `EAGLE_DOC_GET_MONTHLY_USAGE_HISTORY` | Get Monthly Usage History | Tool to retrieve historical monthly usage data with pricing context for reconciliation and forecasting. Use when you need to analyze page processing trends or calculate costs. |
| `EAGLE_DOC_GET_USAGE_REQUEST_LOGS` | Get Usage Request Logs | Tool to retrieve chronological list of recent API calls with page counts and timestamps. Use for troubleshooting and auditing consumption patterns. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Eagle doc MCP server is an implementation of the Model Context Protocol that connects your AI agent to Eagle doc. It provides structured and secure access so your agent can perform Eagle doc operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.
- This key lets your Mastra agent talk to Composio and reach Eagle doc through MCP.

### 2. Install dependencies

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import libraries and validate environment

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
```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,
});
```

### 5. Create a Tool Router session for Eagle doc

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "eagle_doc" for Eagle doc access
- session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
```typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["eagle_doc"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Eagle doc MCP URL:", composioMCPUrl);
```

### 6. Configure Mastra MCP client and fetch tools

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 Eagle doc toolkit
```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);
```

### 7. Create the Mastra agent

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

### 8. Set up interactive chat interface

What's happening:
- messages keeps the full conversation history in Mastra's expected format
- agent.generate runs the agent with conversation history and Eagle doc 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
```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: {
        eagle_doc: 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);
});
```

## Complete Code

```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: ["eagle_doc"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "eagle_doc-mastra-agent",
    instructions: "You are an AI agent with Eagle doc 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: { eagle_doc: 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 Eagle doc 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

## How to build Eagle doc MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/eagle_doc/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/eagle_doc/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/eagle_doc/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/eagle_doc/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/eagle_doc/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/eagle_doc/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/eagle_doc/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/eagle_doc/framework/cli)
- [Google ADK](https://composio.dev/toolkits/eagle_doc/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/eagle_doc/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/eagle_doc/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/eagle_doc/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/eagle_doc/framework/crew-ai)

## Related Toolkits

- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.
- [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place.
- [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals.
- [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Stripe](https://composio.dev/toolkits/stripe) - Stripe is a global online payments platform offering APIs for managing payments, customers, and subscriptions. Trusted by businesses for secure, efficient, and scalable payment processing worldwide.
- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
- [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.
- [Agiled](https://composio.dev/toolkits/agiled) - Agiled is an all-in-one business management platform for CRM, projects, and finance. It helps you streamline workflows, consolidate client data, and manage business processes in one place.
- [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.
- [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training.
- [Alpha vantage](https://composio.dev/toolkits/alpha_vantage) - Alpha Vantage is a financial data platform offering real-time and historical stock market APIs. Get instant, reliable access to equities, forex, and technical analysis data for smarter trading decisions.
- [Altoviz](https://composio.dev/toolkits/altoviz) - Altoviz is a cloud-based billing and invoicing platform for businesses. It streamlines online payments, expense tracking, and customizable invoice management.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Eagle doc MCP?

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

### Can I use Tool Router MCP with Mastra AI?

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 Eagle doc tools.

### Can I manage the permissions and scopes for Eagle doc while using Tool Router?

Yes, absolutely. You can configure which Eagle doc 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.

### How safe is my data with Composio Tool Router?

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 Eagle doc data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
