Connect
Optimize
Secure
The #1 agentic semantic tool search: 91.6% first-try accuracy on S1 Search Bench • Explore Tool Discovery →
Connect your AI agent to StackOne's Segment MCP server and give it 61 MCP tools out of the box. Auth, tool execution, and security all managed.
Coverage
Create, read, update, and delete across Segment — and extend your agent's capabilities with custom actions.
Authentication
Per-user OAuth in one call. Your Segment MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →Security
Every Segment tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →Performance
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Segment call.
Tools Discovery →A Segment MCP server lets AI agents read and write Segment data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Segment MCP server ships with 61 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
Every action from Segment's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Create a new source in the workspace
List all sources in the workspace
Retrieve a source by its id
Update an existing source
Delete a source by its id
Create a new destination in the workspace
List all destinations in the workspace
Retrieve a destination by its id
Update an existing destination
Delete a destination by its id
Create a new warehouse in the workspace
List all warehouses in the workspace
Retrieve a warehouse by its id
Update an existing warehouse
Delete a warehouse by its id
Create a new tracking plan in the workspace
List all tracking plans in the workspace
Retrieve a tracking plan by its id
Update an existing tracking plan
Delete a tracking plan by its id
List all spaces in the workspace
Retrieve a space by its id
Create a new audience in a space
List all audiences in a space
Retrieve an audience by its id
Create a new computed trait in the space
List all computed traits in the space
Retrieve a computed trait by its id
Create a new function in the workspace
List all functions of a given type in the workspace
Retrieve a function by its id
Delete a function by its id
Create a new transformation in the workspace
List all transformations in the workspace
Retrieve a transformation by its id
Update an existing transformation
Delete a transformation by its id
Create a new Reverse ETL Model in the workspace
List all Reverse ETL Models in the workspace
Retrieve a Reverse ETL Model by its id
Delete a Reverse ETL Model by its id
Create a new label in the workspace
List all labels in the workspace
Delete a label by its key and value
List all users in the workspace
Retrieve a user by its id
Create a new user group in the workspace
List all user groups in the workspace
Retrieve a user group by its id
Update an existing user group
Delete a user group by its id
Retrieve the workspace associated with the API token
List destinations connected to a source
List warehouses connected to a source
List subscriptions for a destination
List sources connected to a warehouse
List all pending invites in the workspace
List all roles in the workspace
List audit events in the workspace
Update an existing audience in a space
Remove an audience from a space
One endpoint. Any framework. Your agent is talking to Segment in under 10 lines of code.
Agent Frameworks
{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}189+ actions
122+ actions
104+ actions
102+ actions
101+ actions
80+ actions
73+ actions
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
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
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
origin_owner_id.All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.