Jobnimbus MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Jobnimbus MCP or direct API to create jobs, update contacts, manage schedules, and send invoices through natural language.

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JobNimbus is a CRM and project management platform built for contractors. It streamlines scheduling, estimates, invoicing, and job tracking to simplify your workflow.

21 Tools

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TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

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

Create Location

Tool to create a new location in JobNimbus.

Get Account Settings

Tool to retrieve account-wide settings (workflows, types, sources).

Get Activity by ID

Retrieves a specific JobNimbus activity by its unique jnid, including available details about the event, its creator, and related records.

Get Contact by ID

Tool to retrieve a contact by ID.

List Contacts

Tool to list all contacts.

Update Contact

Tool to update an existing contact.

Create File Attachment Type

Creates a new file attachment type in JobNimbus.

Create Material Order

Creates a new material order in JobNimbus.

Create Task

Tool to create a new task.

Create Workflow Status

Tool to create a new status in an existing workflow.

Get File Attachment Content by ID

Retrieves a JobNimbus file attachment by its unique ID and returns the response as text.

List Activities

Tool to retrieve all activities.

List Invoices

Tool to list all invoices (v2).

List Material Orders

Tool to list all material orders (v2).

List Payments

Tool to retrieve payments list with optional filters.

List Products

Lists a page of JobNimbus products with optional sorting and filtering.

List Work Orders

Tool to retrieve all work orders (v2).

Get Product by ID

Retrieves a JobNimbus product by jnid, returning selected details including taxability and pricing, cost, and unit information derived from the first unit of measure.

List Tasks

List JobNimbus tasks for planning or review, with optional pagination and filters.

Update Task

Update an existing JobNimbus task by its jnid.

Get Units of Measure

Tool to retrieve list of supported units of measure.

SETUP GUIDE

Connect Jobnimbus MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["jobnimbus"],
  mcp: true,
});
Create a session scoped to Jobnimbus and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Create a new contact and schedule a follow-up task for them",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Jobnimbus request
SETUP GUIDE

Connect Jobnimbus API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

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

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["jobnimbus"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Jobnimbus
3

Run Jobnimbus tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Create a new contact and schedule a follow-up task for them" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Jobnimbus tool calls through the session, and print the final answer

Why Use Composio?

AI Native Jobnimbus Integration

  • Supports both Jobnimbus MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Jobnimbus data

Managed Auth

  • Built-in API key handling with secure storage
  • Central place to manage, scope, and revoke Jobnimbus access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Jobnimbus
  • Scoped, least privilege access to Jobnimbus resources
  • Full audit trail of agent actions to support review and compliance

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

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