Connect Perplexity Ai to AI agents

Connect Perplexity Ai 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.

Supported Tools

agent_completion

Agent Completion

Execute agentic AI workflows through Perplexity's Agent API, which provides unified access to models from OpenAI, Anthropic, Google, xAI, NVIDIA, and Perplexity through a single request. Supports built-in tools (web search, URL fetching), model fallback chains, and pre-configured **presets** for common use cases: - **fast-search** - Quick factual lookups (xAI Grok, 1 step) - **pro-search** - Balanced research (GPT-5.1, 3 steps) - **deep-research** - Multi-source analysis (GPT-5.2, 10 steps) - **advanced-deep-research** - Expert research (Claude Opus, 10 steps) You can use presets as-is or override any parameter. Models use the `provider/model-name` format (e.g., `openai/gpt-5.4`, `anthropic/claude-sonnet-4-6`).

chat_completion

Sonar Chat Completion

Generate AI responses grounded in real-time web search using Perplexity's Sonar models. Responses include inline citations to web sources, making it ideal for factual queries, research summaries, and question answering. Available models: - **sonar** - Lightweight, fast search model for quick queries - **sonar-pro** - Advanced model with multi-step queries and ~2x more citations - **sonar-reasoning-pro** - Chain-of-thought reasoning for complex analysis - **sonar-deep-research** - Expert-level exhaustive research and reports Supports search filters (domain, recency, language), structured JSON output, and optional image/related question retrieval.

web_search

Web Search

Perform raw web searches using Perplexity's search index covering hundreds of billions of webpages. Returns ranked results with pre-extracted snippets, ready for use in RAG pipelines or custom synthesis workflows. Unlike chat completions, this returns **raw search results** without AI-generated summaries, giving you full control over how results are processed and presented. Supports domain filtering, date filtering, recency filtering, language filtering, and location-based search.

generate_embeddings

Generate Embeddings

Generate vector embeddings for text using Perplexity's pplx-embed models. Useful for semantic search, clustering, retrieval-augmented generation (RAG), and recommendation systems. Available models: - **pplx-embed-v1-0.6b** - Lightweight, low-latency (1024 dimensions) - **pplx-embed-v1-4b** - Higher quality retrieval (2560 dimensions) - **pplx-embed-context-v1-0.6b** - Contextualized, lightweight (1024 dimensions) - **pplx-embed-context-v1-4b** - Contextualized, higher quality (2560 dimensions) Standard models are best for independent texts and search queries. Contextualized models are optimized for document chunks that benefit from surrounding context. All models produce INT8-quantized embeddings natively.

More integrations teams use with Perplexity Ai

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 Perplexity Ai

Perform AI-powered web searches and generate grounded answers with citations. Access multiple LLM providers (OpenAI, Anthropic, Google, xAI, Sonar) through a unified chat completions interface. Retrieve raw ranked web search results for RAG pipelines. Generate text embeddings for semantic search and retrieval. Supports streaming responses, structured JSON output, search recency and domain filtering, multi-step reasoning, deep research reports, model fallback, and configurable presets for common workflows. Manage API keys and groups programmatically.

Connect Perplexity Ai to production AI agents

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

Frequently asked questions

Common questions about connecting Perplexity Ai to AI agents with Metorial.

  1. Can Metorial connect Perplexity Ai to AI agents?
    Yes. Metorial connects AI agents to Perplexity Ai 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.