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304,876 tools. Last updated 2026-07-21 18:59

"LangGraph" matching MCP tools:

  • examples.search

    AI Design Blueprint

    Search curated examples by free-text query, ranked by relevance, with optional filters: principle_ids (only examples covering those principles), difficulty (beginner/intermediate/advanced), library (e.g. 'langgraph', 'openai'). Returns each match's slug, title, summary, principle coverage, difficulty, library, and source-code link — slug is the handle examples.get hydrates. Default limit 5, capped server-side. Use this when the user describes a use case, technique, or library and wants matching examples; prefer examples.get when you already have the slug; prefer guides.search when the user wants a full walkthrough; prefer principles.search when the user wants doctrine guidance, not an implementation.
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  • examples.search

    AI Design Blueprint Doctrine

    Search curated examples by free-text query, ranked by relevance, with optional filters: principle_ids (only examples covering those principles), difficulty (beginner/intermediate/advanced), library (e.g. 'langgraph', 'openai'). Returns each match's slug, title, summary, principle coverage, difficulty, library, and source-code link — slug is the handle examples.get hydrates. Default limit 5, capped server-side. Use this when the user describes a use case, technique, or library and wants matching examples; prefer examples.get when you already have the slug; prefer guides.search when the user wants a full walkthrough; prefer principles.search when the user wants doctrine guidance, not an implementation.
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  • get_agent_framework_docs

    Velane Cloud

    Returns Mastra (Bun) and LangGraph (Python) patterns for AI agent workflows. Call this BEFORE create_workflow / update_draft when building chatbots, tool-using agents, or multi-step LLM flows. Do not hand-roll custom agent loops — use the preinstalled frameworks.
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  • create_workflow

    Velane Cloud

    Create a workflow. The workflow ID (UUID) is assigned automatically. For AI agent workflows, call get_agent_framework_docs first and use Mastra (bun) or LangGraph (python).
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  • generate_runtime_config

    MCPExplorer

    Generate the install + client config for an MCP server in a given runtime (claude-desktop, cursor, vscode, windsurf, cline, continue, goose, openai-agents, langgraph, crewai).
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  • update_draft

    Velane Cloud

    Create a new workflow version from source code. Built-in imports (no install needed): Integrations — Bun: import { integration } from '@velane/integrations' Python: from velane.integrations import integration AI agents — Bun: Mastra — import { Agent } from '@mastra/core/agent' Python: LangGraph — from langgraph.graph import StateGraph For chat/tool-using/LLM agent workflows you MUST use Mastra or LangGraph. Call get_agent_framework_docs before writing agent code. Do not hand-roll custom agent loops. Call list_connections / get_integration_docs for OAuth provider APIs. For agent workflows set higher limits via timeout_ms, max_memory_mb (e.g. 512), max_cpu_percent.
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