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MCP

Tools reference

The nine tools your MCP server exposes, with their parameters and what each returns.

View as Markdown

These are the tools of your MCP server. Every one runs on your own AI, with your private context. Each one is marked with the behavior hints MCP clients use to decide when to ask before calling it.

The uare.ai Experts MCP server has three tools of its own, for visitors: see its tools.

Tool Does Behavior
generate_post Drafts a social post in your voice Drafts text
respond_as_me Drafts a reply in your voice Drafts text
decide Applies your decision framework Drafts text
refuse Checks whether your AI would decline a request Read-only
act Works through your connected apps Reads now, stages writes
confirm_action Carries out a staged write Writes
learn Queues a fact for your AI's knowledge Queues for review
list_skills Lists your skills and preferences Read-only
get_skill Reads one skill in full Read-only

generate_post

Composes a social media post in your voice. Your AI draws on its knowledge and your voice profile and returns the finished post. It doesn't publish anything.

Parameter Type Required Description
topic string Yes What the post is about.
platform string No Target platform, for example linkedin, twitter or instagram. Defaults to linkedin.
length string No short (about 100 words), medium (about 200) or long (about 400). Defaults to medium.
anchors string[] No Personal experiences or themes to weave in.

Returns post, platform and word_count.

respond_as_me

Drafts a reply to a message in your voice, using what your AI knows about you and the people you work with.

Parameter Type Required Description
message string Yes The message to reply to.
channel string No Where the reply goes, for example email, slack or text. Defaults to email.
intent string No What the reply should achieve.

Returns response and channel.

decide

Weighs options against your values, goals and past decisions, and returns a decision with its reasoning.

Parameter Type Required Description
situation string Yes The decision to make.
options string[] Yes The options to choose from.

Returns decision.

refuse

Checks, without doing anything, whether a request fits your values. Agents can call it before an action tool.

Parameter Type Required Description
request string Yes What's being asked.

Returns would_refuse (a boolean) and reason.

act

Asks your AI to do something through the apps you've connected in uare.ai, such as Gmail or Google Drive. Your AI picks the app and the action itself.

  • Reads (search, fetch, list) run right away.
  • Writes (send, create, delete) don't run here. Your AI returns a plan in pending_actions, with a confirmation_token you pass to confirm_action.
Parameter Type Required Description
intent string Yes What you want done, for example "check my latest emails from my accountant".

Returns response, plus pending_actions when a write is waiting for confirmation.

confirm_action

Carries out a write that act staged. A token works once and expires about 10 minutes after act returned it.

Parameter Type Required Description
confirmation_token string Yes The token from act's pending_actions.

Returns executed, actions and result.

learn

Queues a new fact about you for your AI's knowledge. The fact is reviewed before it becomes part of what your AI knows.

Parameter Type Required Description
content string Yes The fact, in plain language. Up to 2,000 characters.
dimension string Yes One of identity, world, story, mindset, drive, pattern or growth.
confidence number No How sure you are, from 0 to 1. Defaults to 0.7.

Returns pending_fact_id and status: pending_approval when the fact is waiting for review, or queued_locally when uare.ai couldn't queue it yet and retries in the background.

list_skills

Lists your skills and preferences: the markdown files you write to guide your AI. No parameters.

Returns a list of entries with name, type (skill or preference), a short preview and size in bytes. An entry with hidden: true is a learned skill your AI doesn't use: its preview reads [hidden], and get_skill won't return it.

get_skill

Returns one skill or preference in full, including its YAML frontmatter.

Parameter Type Required Description
name string Yes The name from list_skills.

Returns name, content and type (skill or preference). Preferences are rules your AI always applies to itself; reading one tells an agent what your AI is working under.