# How to integrate Influxdb cloud MCP with Mastra AI

```json
{
  "title": "How to integrate Influxdb cloud MCP with Mastra AI",
  "toolkit": "Influxdb cloud",
  "toolkit_slug": "influxdb_cloud",
  "framework": "Mastra AI",
  "framework_slug": "mastra-ai",
  "url": "https://composio.dev/toolkits/influxdb_cloud/framework/mastra-ai",
  "markdown_url": "https://composio.dev/toolkits/influxdb_cloud/framework/mastra-ai.md",
  "updated_at": "2026-05-12T10:15:53.118Z"
}
```

## Introduction

This guide walks you through connecting Influxdb cloud to Mastra AI using the Composio tool router. By the end, you'll have a working Influxdb cloud agent that can write temperature sensor data to bucket, add cpu usage graph to dashboard, update retention policy for analytics data through natural language commands.
This guide will help you understand how to give your Mastra AI agent real control over a Influxdb cloud account through Composio's Influxdb cloud MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Influxdb cloud with

- [OpenAI Agents SDK](https://composio.dev/toolkits/influxdb_cloud/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/influxdb_cloud/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/influxdb_cloud/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/influxdb_cloud/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/influxdb_cloud/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/influxdb_cloud/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/influxdb_cloud/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/influxdb_cloud/framework/cli)
- [Google ADK](https://composio.dev/toolkits/influxdb_cloud/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/influxdb_cloud/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/influxdb_cloud/framework/ai-sdk)
- [LlamaIndex](https://composio.dev/toolkits/influxdb_cloud/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/influxdb_cloud/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 Influxdb cloud tools
- Connect Mastra's MCP client to the Composio generated MCP URL
- Fetch Influxdb cloud 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 Influxdb cloud 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 Influxdb cloud MCP server, and what's possible with it?

The Influxdb cloud MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your InfluxDB Cloud account. It provides structured and secure access to your time series data, letting your agent run queries, ingest new data, manage dashboards, and update user settings automatically.
- Real-time data ingestion and writing: Instantly send line protocol data points to your InfluxDB Cloud buckets for seamless time series collection and analytics.
- Automated dashboard cell management: Direct your agent to add new cells to existing dashboards, making it easy to visualize and monitor the latest metrics or results.
- Advanced query analysis and validation: Have the agent generate and inspect Flux query Abstract Syntax Trees (AST) to validate and debug your analytics scripts before running them.
- User and session management: Enable your agent to sign users in or out and even delete users by ID, supporting secure and automated access control.
- DBRP mapping updates and retrieval: Let your agent fetch or update Database Retention Policy (DBRP) mappings, so you can adapt your data retention and default policies on the fly.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `INFLUXDB_CLOUD_ADD_DASHBOARD_CELL` | Add Dashboard Cell | Tool to add a cell to a dashboard. Use when you want to add or copy a cell to an existing dashboard after verifying the dashboard exists. |
| `INFLUXDB_CLOUD_DELETE_USER` | Delete User | Delete a user from InfluxDB Cloud by their user ID. This action permanently removes a user from the InfluxDB Cloud organization. Requires an operator token with write:users permission to execute successfully. Use this when you need to remove a user's access to the InfluxDB Cloud organization. |
| `INFLUXDB_CLOUD_GENERATE_QUERY_AST` | Generate Flux Query AST | Generates an Abstract Syntax Tree (AST) from a Flux query script. Use this tool to analyze the structure of a Flux query and validate its syntax. The AST shows the parsed structure but does not validate semantic correctness (e.g., whether buckets or fields exist). |
| `INFLUXDB_CLOUD_GET_DBRP` | Get DBRP Mapping | Retrieve a Database and Retention Policy (DBRP) mapping by ID from InfluxDB Cloud. DBRP mappings enable InfluxDB 1.x query compatibility by mapping old database/retention policy names to InfluxDB 2.x buckets. Use this action to: - Verify which bucket a 1.x database/retention policy maps to - Check if a mapping is the default for its database - Inspect mapping configuration before updating or querying data with 1.x APIs Prerequisites: You must have a valid DBRP mapping ID (obtain via listing DBRP mappings or from previous create operations). |
| `INFLUXDB_CLOUD_LIST_ROUTES` | List Routes | Lists all available InfluxDB v2 API endpoints and routes. This action queries the root API endpoint (GET /api/v2) to retrieve a comprehensive map of all available API resources and their corresponding URLs. Use this to discover what endpoints are available in your InfluxDB Cloud instance, including resources for data management (buckets, write, delete, query), user management (users, orgs, authorizations), monitoring (checks, tasks, dashboards), and configuration (labels, variables, Telegraf). The response includes both simple route strings (e.g., "/api/v2/buckets") and nested route objects (e.g., query routes with analyze, ast, suggestions endpoints). Authentication: Requires a valid authorization token in the metadata headers. |
| `INFLUXDB_CLOUD_SIGNIN` | Sign In | Authenticates a user with username and password to create a session with InfluxDB Cloud. Returns a session cookie that can be used for subsequent API requests instead of token-based authentication. Use this when you need to authenticate with user credentials rather than API tokens, or when establishing a user session for operations that require session-based authentication. |
| `INFLUXDB_CLOUD_SIGNOUT` | Sign Out | Tool to expire a user session using a session cookie. Use when ending an authenticated session after signin. |
| `INFLUXDB_CLOUD_UPDATE_DBRP` | Update DBRP | Tool to update a DBRP mapping's default and retention policy. Use when modifying an existing DBRP mapping after initial creation. |
| `INFLUXDB_CLOUD_WRITE_DATA` | Write Line Protocol Data | Writes time-series data in line protocol format to an InfluxDB Cloud bucket. Use this tool to ingest metrics, sensor data, or any time-series measurements into InfluxDB. The data must be formatted according to InfluxDB line protocol specification. |

## Supported Triggers

None listed.

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

The Influxdb cloud MCP server is an implementation of the Model Context Protocol that connects your AI agent to Influxdb cloud. It provides structured and secure access so your agent can perform Influxdb cloud 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 Influxdb cloud 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 Influxdb cloud

What's happening:
- create spins up a short-lived MCP HTTP endpoint for this user
- The toolkits array contains "influxdb_cloud" for Influxdb cloud 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: ["influxdb_cloud"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Influxdb cloud 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 Influxdb cloud 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: "influxdb_cloud-mastra-agent",
    instructions: "You are an AI agent with Influxdb cloud 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 Influxdb cloud 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: {
        influxdb_cloud: 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: ["influxdb_cloud"],
  });

  const composioMCPUrl = session.mcp.url;

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

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "influxdb_cloud-mastra-agent",
    instructions: "You are an AI agent with Influxdb cloud 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: { influxdb_cloud: 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 Influxdb cloud 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 Influxdb cloud MCP Agent with another framework

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

## Related Toolkits

- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [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.
- [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. It streamlines data collection, monitoring, and repetitive online actions.
- [Ambee](https://composio.dev/toolkits/ambee) - Ambee is an environmental data platform providing real-time, hyperlocal APIs for air quality, weather, and pollen. Get precise environmental insights to power smarter decisions in your apps and workflows.
- [Ambient weather](https://composio.dev/toolkits/ambient_weather) - Ambient Weather is a platform for personal weather stations with a robust API for accessing local, real-time, and historical weather data. Get detailed environmental insights directly from your own sensors for smarter apps and automations.
- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.
- [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Influxdb cloud MCP?

With a standalone Influxdb cloud MCP server, the agents and LLMs can only access a fixed set of Influxdb cloud tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Influxdb cloud 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 Influxdb cloud tools.

### Can I manage the permissions and scopes for Influxdb cloud while using Tool Router?

Yes, absolutely. You can configure which Influxdb cloud 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 Influxdb cloud data and credentials are handled as safely as possible.

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