Stow.features

Expand Your
Ecosystem.

Supercharge your AI agents with native integrations, custom APIs, automated workflows, and community-driven tools. Stow connects your LLMs to everything.

Custom Tooling

Bring Your Own
API Interface.

If your internal tool or third-party service has a documented REST API, your agent can use it. Our ingestion wizard turns any HTTP endpoint into a compliant tool in under 5 minutes.

No code to write. No infrastructure to host. Your custom API is instantly delivered to all connected agents through the standard Model Context Protocol (MCP), surfacing tools they intuitively know how to use.

  • Automated tool generation from documentation URLs
  • Instantly delivered to any client via standard MCP
  • Native support for custom Bearer auth
Custom API Integration
Name of Service
e.g. NASA Open APIs
Documentation URL
e.g. https://api.nasa.gov/
GitHub

GitHub Configuration

Service ID: srv_github_99z

Read Repositories

Allow cloning and reading codebase

Create Pull Requests

Allow submitting PRs

Trigger Actions

Allow triggering CI/CD workflows

Delete Repositories

Allow destructive repo deletion

Access Control

Granular Service
Toggles.

Stop handing out full-scope OAuth tokens or generic API keys to your LLMs. Stow allows you to explicitly toggle exact capabilities at the method level.

Want the agent to draft Pull Requests but never trigger deployments? Allow 'Create PRs', but toggle off 'Trigger Actions'. Policies are enforced at the engine level, completely independent of the agent prompt.

View Native Integrations

Orchestration

Automated
Workflows.

Turn single-tool executions into powerful agent routines. Workflows allow you to chain actions together across multiple services and trigger them via schedules or incoming webhooks.

Configure an agent to automatically read a Gmail inbox, extract context via LLM processing, and post a structured summary to Slack — all orchestrated completely headless in Stow.

Shareable

Portable across agents.

Multi-Step

Chain outputs to inputs.

Your Agent Workspace

Connected to Stow MCP Server

Read all my emails today and make a summary in Slack.

Thought Process (18s)

> Calling explore_tools(service="gmail")

> Reading tool schemas...

> Calling gmail_list_messages(query="is:unread newer_than:1d")

> Processing 14 emails...

> Calling explore_tools(service="slack")

> Calling slack_post_message(channel="#daily-summaries")

Heavy Context Used: ~8,400 tokens spent on reasoning & discovery

I've read your 14 emails from today and posted the summary to Slack in the #daily-summaries channel.

Optimization available: I noticed this tool sequence can be optimized. Should I use the Stow MCP to create a repeatable workflow? This will bypass my reasoning phase and save ~8,400 tokens on future runs.
Message your agent...

daily_email_summary

Zero-Shot Execution Enabled • Context Saved: ~8,400 tokens

Explicit Tool
Gmail

gmail_list_messages

query: "is:unread newer_than:1d"
LLM Reasoning

stow_analyze_data

prompt: "Analyze these emails and extract key action items."
LLM Reasoning

stow_compile_summary

prompt: "Compile the extracted points into a markdown summary."
Explicit Tool
Slack

slack_post_message

channel: "#daily-summaries"
text: {{step_3.output}}

Discovery

The Community Marketplace.

Built a great custom API connection using the BYOAPI wizard? Publish it with one click. Anything built can be shared for the whole Stow community.

BYOAPI Export

Linear Planner

by @alex_dev

2.4k
Native Tool

HubSpot Sync

by @stow_official

8.1k
BYOAPI Export

Stripe Billing

by @fin_ops

1.2k

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