Let AI agents run your Friends of MCP apps.

Monitor LLM apps via Langfuse — track traces, manage prompt templates, and audit evaluation scores.

Orchestrate stateful AI agents via LangGraph Cloud — manage assistants, monitor conversation threads, and handle human-in-the-loop overrides.

Observability and evaluation platform for LLM applications — monitor traces, debug agent runs, and track performance metrics across your AI stack.

Query and manage RAG pipelines via LlamaIndex — execute natural language searches, audit indexed files, and monitor data pipelines.

Manage workflow automation via Make — audit scenarios, track execution logs, and monitor data stores.

Give your AI agent persistent memory — store, search, and recall facts, preferences, and context across sessions using the leading agent memory platform.

Monitor automated workflows, audit app connections, and search for Zap templates on Zapier — the leader in AI orchestration.

Command Apify scrapers from your AI agent — run actors, extract web data, poll datasets, and automate browser tasks seamlessly.

Manage agentic workflows via Dify — send chat messages, track conversations, audit app parameters, and handle file uploads directly from any AI agent.

Secure cloud sandboxes for AI code execution — run Python, JavaScript, and shell commands in isolated Firecracker microVMs with ~150ms cold start.

Monitor LLM usage via Helicone — track requests, analyze costs, measure latency, and manage prompts.

Manage your API Gateway via Kong — orchestrate services, routes, and AI plugins directly from your agent.

Manage your LLM gateway via LiteLLM — generate API keys, track spending, and orchestrate model fallback paths.

Manage RAG pipelines and document parsing via LlamaCloud — orchestrate LlamaParse jobs and audit data ingestion.

Manage serverless compute via Modal — audit active apps, track GPU deployments, and monitor network volumes.

Manage workflow automation via n8n — audit active workflows, track execution logs, and monitor credentials.

AI gateway observability: monitor logs, costs, and manage LLM configurations via agents.

AI MCP registry: discover, search, and connect MCP servers to your agents via Smithery.

Monitor and manage distributed workflows in Temporal Cloud natively via your AI agent.

Track experiments, monitor ML runs, and manage artifacts on WandB — the developer platform for AI.

Monitor automation recipes, manage job executions, and audit app connections on Workato — the leading enterprise iPaaS platform.

Access 1000+ smart home tool integrations via Composio API — control devices through structured arguments or natural language commands.

Automate LLM and ML observability via Arize — monitor models, track telemetry, run evaluations, and analyze data drift directly from any AI agent.

Orchestrate Microsoft AutoGen multi-agent workflows — manage sessions, agent roles, workflows, and monitor execution logs from any AI agent.

Cloud browser infrastructure for AI agents — create, control, and manage headless Chromium sessions via CDP for automated web interaction.

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.