Aiml API MCP server

Connect Aiml API 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 Aiml API MCP server

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

  • Use the list models tool in Aiml API
  • Use the generate embeddings tool in Aiml API
  • Use the speech to text tool in Aiml API
  • Use the generate video tool in Aiml API
  • Use the moderate content tool in Aiml API
  • Use the chat completion tool in Aiml API

Supported Tools

list_models

List Models

Retrieve the full list of available AI/ML models across all categories (text, image, video, speech, embeddings, moderation, etc.). Use this to discover available model IDs before making generation requests.

generate_embeddings

Generate Embeddings

Generate vector embeddings from text for semantic search, similarity analysis, clustering, and classification. Supports models like text-embedding-3-small (1536 dimensions), text-embedding-3-large (3072 dimensions), and multilingual models. Can embed single strings or batches of text in a single request.

speech_to_text

Speech to Text

Transcribe audio from a URL into text using speech-to-text models from OpenAI (Whisper), Deepgram (Nova-2), and Assembly AI. Submits the audio for asynchronous processing and polls until the transcription is ready. Generated transcriptions are stored on the server for 1 hour.

generate_video

Generate Video

Generate videos from text prompts or reference images using MiniMax video models. Video generation is asynchronous — the tool submits the request and polls for results. Supports text-to-video and image-to-video workflows.

moderate_content

Moderate Content

Classify text or image content as safe or unsafe using Meta's Llama Guard content moderation models. Analyzes input for harmful content and returns a safety classification with hazard categories when unsafe. Supports text, image URLs, and base64-encoded images.

chat_completion

Chat Completion

Generate text responses using 400+ LLM models including GPT, Claude, Gemini, DeepSeek, Llama, and Qwen. Supports system prompts, multi-turn conversations, temperature control, JSON mode, and web search. Use this for text generation, code generation, reasoning, question answering, and conversational AI.

text_to_speech

Text to Speech

Convert text into natural-sounding speech audio using models from OpenAI, ElevenLabs, Deepgram, and Microsoft. Supports 120+ languages, multiple voices, adjustable speed, and various audio formats (mp3, opus, aac, flac, wav, pcm). Returns generated audio as a downloadable file, with its provider URL when available.

generate_image

Generate Image

Generate images from text prompts using 70+ image models including Flux, DALL-E, Stable Diffusion, Imagen, and more. Supports configurable resolution, aspect ratio, negative prompts, guidance scale, and seed for reproducibility. Returns generated images as downloadable files and preserves their provider URLs.

get_transcription_result

Get Transcription Result

Check an existing speech-to-text task and retrieve its transcript. Use the generationId returned by speech_to_text. Results are retained by the provider for one hour.

get_video_result

Get Video Result

Check an existing video generation task and download its video when completed. Use the generationId returned by generate_video.

get_current_user

Get Current User

Identify the account associated with the API key and check its current balance and currency.

Connect Aiml API 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 Aiml API in Metorial. In your Metorial portal, enable the Aiml API 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 Aiml API tools.

Run Aiml API through the Metorial gateway

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

  • Give Aiml API and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Aiml API 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 Aiml API

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.

Google Drive

Upload, download, create, copy, move, rename, trash, and permanently delete files and folders in Google Drive. Search for files using complex queries filtering by name, MIME type, owner, modification date, labels, and other metadata. Share files and folders with specific users, groups, or domains with role-based permissions (owner, writer, commenter, reader). Manage shared drives and their members. Export Google Workspace files (Docs, Sheets, Slides) to standard formats like PDF, DOCX, and XLSX. Track file revision history and restore earlier versions. Create, read, update, and delete threaded comments and replies on files. Read label definitions and search files by label. Browse the Drive apps installed for your account. Store app-specific data in a hidden per-user folder.

Technical notes for Aiml API

Unified gateway to 400+ AI/ML models for text generation, image generation, video generation, music generation, speech-to-text, text-to-speech, content moderation, 3D model generation, vision/OCR, embeddings, and AI-powered web search. Generate chat completions and reasoning with models like GPT, Claude, Gemini, DeepSeek, and Llama. Create images from text prompts using Flux, Stable Diffusion, and DALL-E. Generate videos from text or images asynchronously. Convert speech to text and text to speech in 120+ languages. Moderate content for safety classification. Generate 3D objects from text or images. Extract text and structured data from images via OCR. Produce text embeddings for semantic search. Search the web for real-time information. Create AI Assistants for customer support and data analysis. Interact in real time via WebSocket for voice and text.

Frequently asked questions

Common questions about connecting Aiml API to AI agents with Metorial.

  1. How many tools does the Aiml API MCP server have?
    The Aiml API MCP server exposes 11 tools, including List Models, Generate Embeddings, Speech to Text. Each one is governed and traced through Metorial.
  2. Aiml API 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 Aiml API MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Aiml API and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Aiml API MCP server yourself or use the hosted gateway.

Connect Aiml API to production AI agents

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