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Scrape and crawl via Crawlbase. Perform HTML extraction, handle JS-rendered pages, bypass CAPTCHAs, and scrape social profiles directly from any AI agent.

Orchestrate multi-agent workflows via CrewAI. List crews and agents, kickoff autonomous runs, and monitor task execution directly from any AI agent.

Manage low-code AI workflows via Flowise. Run predictions, track chatflows and agentflows, handle tools, and audit execution history directly from any AI agent.

Manage autonomous AI employees via Lindy. Trigger task runs, monitor reasoning logs, and audit app integrations.

Manage ML lifecycle via MLflow. Track training runs, monitor metrics, and audit the model registry.

Manage product integrations via Nango. Audit OAuth connections, track data syncs, and explore unified records.

Manage Pipedream serverless workflows, sources, webhooks, and raw event data natively via AI agents.

Equip your AI with direct access to your R2R engine. Execute vector searches, run precise RAG queries, and manage your documents.

Equip your AI to trigger custom autonomous agents, execute chained prompts, and manage unstructured knowledge datasets directly within your Relevance AI studio.

AI enterprise control plane: manage MCP servers, skills, agents, and security policies via agents.

Equip your AI agent to orchestrate automations, track active workflows, and monitor data execution flows across Tray.io natively.

Equip your AI agent with direct access to Trigger.dev. Manage background jobs, monitor task runs, and inspect workflow executions without opening the dashboard.

Universal LLM Gateway & ML deployment hub: invoke 1000+ proxy models and manage MCP service instances natively.

Control smart home devices via natural language through Zapier NLA API. Access 5000+ app integrations for home automation.

Build LLM orchestration flows visually with a drag-and-drop interface for creating AI chatbots, agents, and RAG pipelines.

Automate autonomous AI agents via Relevance AI. Manage tools, trigger tasks, and monitor results directly.

AI MCP infrastructure: deploy, manage, and monitor MCP servers programmatically via agents.

Automate AI evaluations with Braintrust. Organize projects, test model datasets, run benchmarks, and manage prompts via any AI agent.

Empower your AI agents to audit chat threads, analyze model steps, and track LLM observability metrics securely.

Manage machine learning experiments via Comet. Track model metrics, audit project workspaces, and inspect ML run parameters directly from any AI agent.

Connect your AI agent to the Glama directory. Discover MCP servers dynamically, analyze attributes, and proxy external intelligence networks through a unified gateway natively.

Build and manage AI-powered search and RAG pipelines via deepset Cloud. Search documents, run pipelines, and manage workspaces.

Cloud browsers for AI agents via Hyperbrowser. Manage sessions, scrape pages, and extract structured data.

Equip your AI with Ragas to create datasets, run RAG evaluations, and track experiment metrics directly from your workflow.

High-performance Rust-powered web scraping and crawling. Scrape, crawl, and search up to 100K+ pages/second with built-in anti-bot protection.

Monitor ML model performance, detect data drift, and troubleshoot prediction quality with real-time observability dashboards.

Empower AI agents via Context7. Pull up-to-date documentation and code examples for any library or framework directly into your workspace.

Enterprise MCP Gateway: manage authentication, monitoring, and security guardrails via centralized virtual servers.

Build knowledge graphs from unstructured data. Ingest text, extract entities and relationships, and search with graph-aware AI reasoning.

Manage modular RAG via Cognita. List collections, ingest data sources, and perform AI-driven Q&A directly from any AI agent.

Enterprise observability and serverless scaling infrastructure directly mapping MCP agents logic.