Metatextai MCP server

Connect Metatextai to Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini, GitHub Copilot and any other MCP client, for your whole team. Metorial adds security, governance, and tracing, and gives everyone one Magic MCP URL to connect.

What you can do with the Metatextai MCP server

Ask your agent in plain language. Each of these maps to a real tool on the server.

  • Use the generate text tool in Metatextai
  • Use the generate headline tool in Metatextai
  • Use the generate blog post tool in Metatextai
  • Use the extract keywords tool in Metatextai
  • Use the analyze sentiment tool in Metatextai
  • Use the detect spam tool in Metatextai

Supported Tools

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.

extract_entities

Extract Entities

Extract structured entities from text using a deployed Metatext AI extraction project through the V2 Inference API. Returns the model predictions and metadata in their original form.

classify_text

Classify Text

Classify text using a deployed Metatext AI project through the V2 Inference API. Returns the model predictions in their original form.

Connect Metatextai to your AI client

Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.

  1. Enable Metatextai in Metorial. In your Metorial portal, enable the Metatextai MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
  2. Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
  3. Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
  4. Sign in. Select Add and sign in to load Metatextai tools.

Run Metatextai through the Metorial gateway

One governed layer for every app your agents reach, not a separate connector per tool.

  • Give Metatextai and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Metatextai tools with role-based access control, and trace every call.
  • Prefer to run it yourself? Metorial is open source and self-hostable.

More integrations teams use with Metatextai

Notion

Create, read, update, and archive pages and databases in a Notion workspace. Manage blocks (paragraphs, lists, headings, embeds, etc.) within pages. Query databases with filters and sorts across rich property types including text, numbers, dates, selects, relations, and formulas. Search across pages and databases by title. Add and read comments on pages and blocks. Upload files to pages. Manage workspace users and retrieve user profiles.

Google Sheets

Create, read, and update spreadsheets and their cell data. Read and write values to individual cells, ranges, or multiple ranges using A1 notation or named ranges. Apply cell formatting including text styles, backgrounds, borders, number formats, and conditional formatting. Manage sheets (tabs) within a spreadsheet—add, delete, copy, rename, and reorder them. Create and manage embedded charts, pivot tables, filter views, data validation rules, protected ranges, named ranges, and merged cells. Perform batch operations to apply multiple updates atomically.

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.

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. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Resolve site users to numeric Person/Group LookupId values. 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. Retrieve site properties and search for sites across Microsoft 365.

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.

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.

Frequently asked questions

Common questions about connecting Metatextai to AI agents with Metorial.

  1. How many tools does the Metatextai MCP server have?
    The Metatextai MCP server exposes 9 tools, including Generate Text, Generate Headline, Generate Blog Post. Each one is governed and traced through Metorial.
  2. Metatextai exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
  3. Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Metatextai MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Metatextai and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Metatextai MCP server yourself or use the hosted gateway.

Connect Metatextai to production AI agents

See how Metorial gives your team governed access to Metatextai, with tracing and security controls built in.