Connect Metatextai to AI agents

Connect Metatextai 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

Tools7Triggers1

generate_text

Generate Text

Generate text content from a prompt using Metatext AI's pre-built text generation model. Suitable for general-purpose text generation, creative writing, content expansion, and other generative tasks.

generate_headline

Generate Headline

Generate a concise headline or summary from text using Metatext AI's pre-built headline model. Useful for summarizing news articles, creating titles for content, or condensing long text into a brief headline.

generate_blog_post

Generate Blog Post

Generate blog post content from a prompt or topic using Metatext AI's pre-built blog post generation model. Provide a topic, title, or brief description and receive generated blog content.

extract_keywords

Extract Keywords

Identify and extract significant keywords from text using Metatext AI's pre-built keyword extraction model. Useful for content indexing, tag generation, SEO optimization, and summarizing key topics in documents or articles.

analyze_sentiment

Analyze Sentiment

Determine the sentiment of a given text as positive, negative, or neutral using Metatext AI's pre-built sentiment analysis model. Useful for analyzing customer reviews, feedback, social media posts, or any text where understanding emotional tone is important.

detect_spam

Detect Spam

Determine whether the given text is spam or not using Metatext AI's pre-built spam detection model. Useful for filtering user-generated content, moderating comments, or screening incoming messages and emails.

run_custom_model

Run Custom Model

Run inference on a custom-trained NLP model deployed on Metatext AI. Provide the model ID and input text to get predictions from your own classification, extraction, or generation model.

More integrations teams use with Metatextai

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.

Confluence

Create, read, update, and delete pages, blog posts, comments, and attachments in Confluence spaces. Manage spaces, permissions, labels, and content restrictions. Search content using Confluence Query Language (CQL). Upload and download file attachments with versioning. Manage users, groups, and group memberships. Create and manage whiteboards, databases, folders, and templates. View and update inline tasks. Access audit logs. Listen for webhooks on page, blog, comment, attachment, space, label, and user events.

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.

Technical notes for Metatextai

Classify, extract, and generate text using custom and pre-built NLP models. Perform sentiment analysis, keyword extraction, named entity recognition, and text generation via API. Train and deploy custom text classification, extraction, and generation models using labeled data. Access pre-built hub models for common tasks like sentiment analysis, keyword extraction, blog post generation, and news headline summarization without training.

Connect Metatextai to production AI agents

See how Metorial gives Metatextai access the governance, tracing, and security controls teams need.

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Frequently asked questions

Common questions about connecting Metatextai to AI agents with Metorial.

  1. Can Metorial connect Metatextai to AI agents?
    Yes. Metorial connects AI agents to Metatextai 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.