Mapflow.ai MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Mapflow.ai MCP or direct API to list projects, check processing status, manage imagery workflows, and query geospatial analysis results through natural language.

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Mapflow.ai is an AI platform for analyzing satellite and aerial imagery and managing geospatial processing projects. It helps teams extract map-ready insights from imagery faster, with custom workflows and catalog access.

10 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Mapflow.ai
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TOOLS

Supported Tools

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

Create Processing (Consumes Credits)

CREDIT-CONSUMING: create and immediately start an asynchronous v2 imagery-analysis processing.

Create Project

Create a Mapflow project container for organizing imagery-analysis processings.

Download Processing Result

Download a completed processing's vector result as a GeoJSON file, optionally restricted to one AOI.

Estimate Processing Cost

Estimate the credit cost of a v2 processing without starting it or consuming credits.

Get Account Capabilities

Return the connected Mapflow account's credit balance, processing and storage limits, available AI models and optional blocks, and imagery providers.

Get Processing

Get detailed status, progress, cost, errors, source configuration, and result-layer metadata for one current v2 processing.

Get Storage Overview

Return custom-imagery storage limits and usage together with the account's mosaics, so an agent can select existing uploaded imagery without separate discovery calls.

List Processings

List current v2 processings.

List Projects

List projects visible to the connected account, including personal and shared or team projects and the IDs needed to scope processing operations.

Search Imagery Catalog

Search external imagery providers linked to the connected account for scenes or mosaics intersecting a GeoJSON AOI.

SETUP GUIDE

Connect Mapflow.ai MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
Import and initialize the Composio client, then create a Tool Router session for Mapflow.ai
3

Connect to AI Agent

typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'List my recent Mapflow.ai projects and summarize their processing status'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect Mapflow.ai API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
Import and initialize Composio client, then create a Tool Router session
3

Execute Mapflow.ai Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'List my recent Mapflow.ai projects and summarize their processing status'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute Mapflow.ai actions with your Agent

Why Use Composio?

AI Native Mapflow.ai Integration

  • Supports both Mapflow.ai MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable geospatial tool execution
  • Rich coverage for querying projects, imagery workflows, processing jobs, and analysis results

Managed Auth

  • Secure API key handling without hard-coding Mapflow.ai credentials in your agent code
  • Central place to manage, scope, and revoke Mapflow.ai access
  • Per user and per environment credentials for safer geospatial automation

Agent Optimized Design

  • Tools are designed so AI agents can understand Mapflow.ai actions clearly and call them reliably
  • Comprehensive execution logs so you know which imagery jobs, project queries, and workflow actions ran

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Mapflow.ai
  • Scoped, least privilege access to Mapflow.ai projects and imagery workflows
  • Full audit trail of agent actions to support review and compliance
FAQ

Frequently asked questions

Yes, Mapflow.ai requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

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