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Live 58 Actions

Lilt Integration for AI Agents

Connect your AI agent to 58 Lilt actions via MCP, A2A, or SDK, with agent authentication, tool-calling execution, and security built-in.

StackOne
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Lilt AI Agent Actions

58 production-ready actions for your agent to do more on Lilt.

58 Actions
Retrieve Lilt Create Content - Retrieve all Lilt Create generated content.
Retrieve Lilt Create Content By ID - Retrieve a single Lilt Create content item by its ID.
Generate Lilt Create Content - Generate new content with Lilt Create.
Update Lilt Create Content - Update an existing Lilt Create content item.
Delete Lilt Create Content - Delete a Lilt Create content item by its ID.
Download A Document - Download a Document by its unique identifier.
Upload A Document - Upload a file as a Document into a Project.
Retrieve Domains - Retrieve the translation domains configured for your Lilt organization.
Retrieve Files - Retrieve source files, optionally filtered by ID or labels.
Upload A File - Upload a source file to Lilt.
Delete A File - Delete a source file by its unique identifier.
Download A File - Download a source file by its ID.
Add A Label To A File - Add a label to a source file.
Remove A Label From A File - Remove a label from a source file.
Retrieve All Jobs - Retrieve all Jobs, optionally filtered by archived/delivered status.
Retrieve A Job - Retrieve a single Job by its unique identifier.
Create A Job - Create a new translation Job.
Update A Job - Update an existing Job.
Delete A Job - Delete a Job by its unique identifier.
Archive A Job - Archive a Job by its unique identifier.
Unarchive A Job - Unarchive a previously archived Job.
Deliver A Job - Mark a Job as delivered.
Reactivate A Job - Reactivate a delivered Job.
Download A Job - Download the translated files for a Job.
Export A Job - Export files or memory for a Job.
Retrieve Job Leverage Stats - Retrieve translation leverage statistics for a Job.
Retrieve Supported Languages - Retrieve the list of source and target languages supported by Lilt.
Retrieve Memories - Retrieve all Memories, or a single Memory by ID.
Create A Memory - Create a new Memory for a specific source/target language pair.
Update A Memory - Update the name of an existing Memory.
Delete A Memory - Delete a Memory by its unique identifier.
Query A Memory - Query a Memory for translation memory matches to a source string.
Import A File Into A Memory - Import a translation memory or termbase file into an existing Memory.
Download A Termbase - Download the termbase for a Memory.
Export A Termbase - Start an export of the termbase for a Memory.
Delete A Segment From A Memory - Remove a specific segment from a Memory.
Retrieve Projects - Retrieve Projects, optionally filtered by language, state, or time.
Create A Project - Create a new translation Project.
Delete A Project - Delete a Project by its unique identifier.
Retrieve A Segment - Retrieve a single Segment by its unique identifier.
Create A Segment - Create a new Segment in a Memory or Document.
Update A Segment - Update the target string of a Segment.
Delete A Segment - Delete a Segment by its unique identifier.
Tag A Segment - Transfer inline tags from a tagged source string to a target string.
Unlock Segments - Unaccept and unlock one or more segments.
Translate A Segment - Translate a source string using adaptive machine translation.
Translate A File - Start an instant machine translation of one or more uploaded files.
Monitor File Translation - Check the status of one or more file translations.
Download A Translated File - Download the result of a completed file translation.
Retrieve Pending Uploads - Retrieve all pending uploads, optionally filtered by IDs or statuses.
Retrieve An Upload - Retrieve a single upload by its unique identifier.
Retrieve S3 Upload Parameters - Get the parameters needed to upload a file directly to cloud storage.
Initiate File Upload To Cloud Storage - Initiate a single-part file upload to cloud storage.
Initiate Multipart Upload - Initiate a multipart file upload to cloud storage.
Sign An Upload Part - Get a signed URL for uploading a single part of a multipart upload.
Complete Multipart Upload - Complete a multipart upload after all parts have been uploaded.
Cancel Multipart Upload - Cancel an in-progress multipart upload.
Retrieve Workflow Templates - Retrieve the workflow templates available to your Lilt organization.

Do More, Build Less

Integration Infrastructure for Lilt AI Agents

Multiple Interfaces

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

Lilt MCP server
Managed Authentication

Pre-built authentication UI.

Agent auth
Falcon Engine

Every Lilt 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

Lilt AI 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.