Crisp MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Crisp MCP or direct API to manage conversations, update contacts, query helpdesk content, and coordinate campaigns through natural language.

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Api Key

Crisp is a customer messaging platform for live chat, contacts, helpdesk, and campaigns. It helps support teams manage customer conversations from one shared workspace.

12 Tools

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TOOL ROUTER PLAYGROUND
Crisp
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TOOLS

Supported Tools

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

Assign Conversation

Assign a conversation to one operator or explicitly remove its current operator assignment.

Get Conversation

Get one conversation's status, assignment, inbox, visitor metadata, unread counts, and latest-message summary.

Get People Profile

Get one customer profile by its Crisp people ID or exact email address.

List Conversation Messages

Return a batch of messages from a conversation, optionally before, after, or around one millisecond timestamp.

List Conversations

List or search workspace conversations with support-focused filters, one page at a time.

List Inboxes

List configured Crisp inboxes and their operator/team membership, one page at a time.

List Operators

List workspace operators and pending members with their IDs, roles, and current availability.

List People Profiles

List or search customer profiles by text, creation date, and sort order, one page at a time.

Move Conversation to Inbox

Move a conversation to a specific Crisp inbox, or remove its inbox categorization when inbox_id is null.

Send Conversation Message

Send a visitor-visible text reply to an existing Crisp conversation immediately; this external communication is irreversible.

Update Conversation Meta

Update support-relevant visitor details, subject, segments, or custom data on a conversation without replacing unspecified fields.

Update Conversation State

Set a conversation to pending, unresolved, or resolved.

SETUP GUIDE

Connect Crisp 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: ["crisp"],
  mcp: true,
});
Create a session scoped to Crisp 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: "List the latest unresolved Crisp conversations and summarize the customer issues",
  stopWhen: stepCountIs(10),
});

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

Connect Crisp 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: ["crisp"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Crisp
3

Run Crisp tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List the latest unresolved Crisp conversations and summarize the customer issues" }],
});

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 Crisp tool calls through the session, and print the final answer

Why Use Composio?

AI Native Crisp Integration

  • Supports both Crisp MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable conversation, contact, and helpdesk actions
  • Rich coverage for reading, writing, and querying your Crisp workspace data

Managed Auth

  • Secure API key handling so you don't have to hard-code Crisp credentials in your agent
  • Central place to manage, scope, and revoke Crisp access
  • Per user and per environment credentials for cleaner production deployments

Agent Optimized Design

  • Crisp tools are designed so language models can understand what to call and when
  • 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 Crisp
  • Scoped, least privilege access to conversations, contacts, helpdesk content, and workspace data
  • Full audit trail of agent actions to support review and compliance
FAQ

Frequently asked questions

Yes, Crisp 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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