Connect Witai to AI agents

Connect Witai to Claude, Codex, Cursor, or other AI agents for your entire team. Metorial security, governance, observability, and gives your team a unified Magic MCP url to connect.

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Supported Tools

Tools30Triggers1

list_apps

List Apps

List all Wit.ai apps accessible by the current token. Returns app metadata including name, language, and training status. Supports pagination.

list_utterances

List Utterances

List training utterances (samples) in the Wit.ai app. Returns annotated utterances with their intent, entity, and trait labels. Supports pagination.

export_app

Export App

Export the current Wit.ai app configuration as a downloadable URL. The export includes intents, entities, traits, utterances, and all app settings. Useful for backup, migration, or duplicating apps.

delete_app_tag

Delete App Tag

Delete a version tag from a Wit.ai app. This cannot be undone.

create_intent

Create Intent

Create a new intent in the Wit.ai app. After creation, train the intent by adding utterances.

update_app

Update App

Update an existing Wit.ai app's configuration such as name, language, timezone, description, or privacy settings.

update_entity

Update Entity

Update an existing entity's configuration, such as its name, roles, lookup strategies, or keywords.

create_app_tag

Create App Tag

Create a new version tag for a Wit.ai app. Tags snapshot the current NLU model state for versioning.

get_trait

Get Trait

Get detailed information about a specific trait, including its possible values.

get_intent

Get Intent

Get detailed information about a specific intent, including its associated entities.

list_intents

List Intents

List all intents configured in the Wit.ai app. Returns intent names and IDs. Use this to explore available intents before analyzing text.

list_traits

List Traits

List all traits configured in the Wit.ai app. Traits are sentence-level classifiers (e.g., sentiment, politeness) that are distinct from entities.

delete_utterances

Delete Utterances

Delete training utterances from the Wit.ai app by their text content. Useful for cleaning up or correcting training data.

list_voices

List Voices

List available voices for text-to-speech synthesis. Returns voice names, locales, genders, and available styles. Currently supports English (US).

manage_trait_values

Manage Trait Values

Add or remove possible values for an existing trait.

get_entity

Get Entity

Get detailed information about a specific entity, including its roles, lookup strategies, and keyword values.

delete_trait

Delete Trait

Permanently delete a trait from the Wit.ai app. This cannot be undone.

delete_intent

Delete Intent

Permanently delete an intent from the Wit.ai app. This cannot be undone.

analyze_text

Analyze Text

Extract meaning from text using Wit.ai's NLU engine. Returns detected **intents**, **entities**, and **traits** with confidence scores. Supports optional context (locale, timezone, reference time) for improved entity resolution. Use the `n` parameter to get multiple candidate intents (N-best).

create_entity

Create Entity

Create a new custom entity in the Wit.ai app. Entities can be keyword-based (with explicit values) or free-text. Specify roles to distinguish how the entity is used in different contexts (e.g., "origin" vs "destination" for a location entity).

delete_entity

Delete Entity

Permanently delete an entity from the Wit.ai app. This cannot be undone.

create_trait

Create Trait

Create a new trait in the Wit.ai app with initial values. Traits are sentence-level classifiers such as sentiment, greeting detection, or custom categories.

list_entities

List Entities

List all entities configured in the Wit.ai app, including both built-in and custom entities. Returns entity names and IDs.

list_app_tags

List App Tags

List all version tags for a Wit.ai app. Tags provide version control for your NLU models, allowing you to snapshot and reference specific model versions.

detect_language

Detect Language

Detect the language of a given text. Returns the N-best detected locales with confidence scores. Useful for routing multilingual inputs or selecting the correct NLP model.

delete_app

Delete App

Permanently delete a Wit.ai app. This action cannot be undone.

train_utterances

Train Utterances

Submit training utterances (samples) to train the Wit.ai NLU model. Each utterance can include intent labels, entity annotations with character positions, and trait annotations. Useful for bulk importing training data.

create_app

Create App

Create a new Wit.ai app. Returns the new app's ID and server access token that can be used to interact with the app.

get_app

Get App

Get detailed information about a specific Wit.ai app by its ID. Returns configuration, training status, and metadata.

manage_entity_keywords

Manage Entity Keywords

Add or remove keywords and synonyms for a keyword-type entity. Use this to expand the vocabulary of an entity by adding new canonical keywords with their synonym expressions, or to remove existing ones.

More integrations teams use with Witai

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Bitbucket

Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.

Heroku

Deploy, manage, and scale applications on Heroku's cloud platform. Create and configure apps, scale dynos, provision add-ons (databases, caching, etc.), manage configuration variables, build and release code, add custom domains and SSL certificates, manage collaborators and team permissions, configure pipelines for continuous delivery, set up log drains, and sync data with Salesforce via Heroku Connect. Subscribe to webhooks for real-time notifications on app changes, builds, releases, dyno lifecycle events, and more.

Technical notes for Witai

Extract meaning from text and voice inputs using natural language processing. Detect intents, entities, and traits from text messages with confidence scores. Transcribe and analyze audio files and streams via speech recognition. Synthesize human-like speech from text. Manage multi-turn conversational flows with dialogue state and context. Detect languages from text input. Create, update, and delete entities, intents, and training utterances programmatically. Manage Wit.ai apps, export and import app configurations, and train NLU models with annotated samples.

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Frequently asked questions

Common questions about connecting Witai to AI agents with Metorial.

  1. Can Metorial connect Witai to AI agents?
    Yes. Metorial connects AI agents to Witai through a governed integration layer, so teams can use the provider while keeping access controlled and observable.
  2. Metorial is MCP compatible and lets teams expose approved provider tools to MCP-capable agents and clients through a controlled access layer.
  3. Metorial applies policies across users, groups, providers, agents, and individual tools, then records the context around every agent interaction.
  4. Yes. Metorial records provider activity so teams can inspect tool calls, troubleshoot integrations, and give security teams the visibility they need.