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Announcing StackOne Defender: leading open-source prompt injection guard for your agent Read More

Connectors Re:amaze
Live 33 Actions

Re:amaze integration for AI agents

Connect your AI agent to 33 production-ready Re:amaze actions via MCP, A2A, or SDK — with managed agent tool auth, optimized execution, and built-in security.

StackOne
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Re:amaze AI agent actions

33 production-ready actions for your agent to do more on Re:amaze.

33 Actions
List Articles - Retrieve help articles with search and filtering
Get Article - Retrieve a specific article by slug
Create Article - Create a new help article
Update Article - Update an existing help article
List Channels - Retrieve all communication channels for the brand
Get Channel - Retrieve a specific channel by slug
List Contact Notes - Retrieve notes for a specific contact
Create Contact Note - Add a note to a contact
Update Contact Note - Update an existing contact note
Delete Contact Note - Delete a contact note
List Contacts - Retrieve contacts with search and filtering
Get Contact Identities - Retrieve all identities for a contact
Create Contact - Create a new contact
Update Contact - Update an existing contact
Create Contact Identity - Attach an email, mobile number, social handle to a contact
List Conversations - Retrieve conversations with filtering and pagination
Get Conversation - Retrieve a specific conversation by slug
Create Conversation - Create a new conversation or ticket
Update Conversation - Update an existing conversation
List Messages - Retrieve messages across all conversations or filtered
Create Message - Add a message or reply to a conversation
Get Volume Report - Retrieve daily conversation volume statistics
Get Response Time Report - Retrieve response time metrics
Get Staff Report - Retrieve staff performance metrics
Get Tags Report - Retrieve tag usage statistics
Get Channel Summary - Retrieve channel-wise conversation breakdown
List Satisfaction Ratings - Retrieve customer satisfaction survey ratings
List Staff - Retrieve staff members for the brand
Create Staff Member - Create a new staff user
List Response Templates - Retrieve canned response templates
Get Response Template - Retrieve a specific response template
Create Response Template - Create a new canned response template
Update Response Template - Update an existing response template

Do More, Build Less.

Integration Infrastructure for Re:amaze AI Agents.

Multiple Interfaces

Access integrations via API, AI SDKs, MCP & A2A.

Re:amaze MCP server
Managed Authentication

Pre-built authentication UI.

Agent auth
Falcon Engine

Every Re:amaze action runs on Falcon.

Agent Execution Engine
StackOne Defender
StackOne Defender Meta PG v1 Meta PG v2 DeBERTa 88.7% 67.5% 63.1% 56.9% Detection accuracy

88.7% prompt injection detection.

Prompt injection defense

"What impressed us most about StackOne is its ambition and clarity. They're creating infrastructure that modern software and the entire AI agent ecosystem can rely on. The depth of secure integrations, the pace of delivery, and the team's foresight into AI's future uniquely position StackOne to redefine this category."

Luna Schmid, Partner at GV

"We've been impressed by how quickly and deeply StackOne integrates with complex enterprise systems -- and now, with their focus on agent-to-agent interoperability, they're unlocking even more powerful use cases for customers. StackOne delivers all of the above in a universal layer -- without compromise."

Barbry McGann, SVP at Workday Ventures

G2 - High Performer G2 - Easiest To Do Business With G2 - Users Love Us G2 - Users Most Likely To Recommend G2 - Easiest Admin

Product teams love building agent integrations with StackOne.

G2

More AI agent integrations like Re:amaze

Re:amaze agent integration resources

Agentic Context Engineering: Why AI Agents Kill Their Own Context Windows

AI agents exceed their context windows without knowing it. Six failure patterns and seven survival architectures for agentic context engineering.

15 min

MCP Code Mode: Keeping Tool Responses Out of Agent Context

Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.

11 min

Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery

Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.

10 min

Put your AI agents to work

All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.