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    AutomateLab n8n MCP helps AI agents generate and lint workflows, diagnose failed executions, and manage live n8n instances. Product and documentation: https://automatelab.tech/products/mcp/n8n-mcp/
    12
    122 npm
    14
    MIT
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    Enables managing and building n8n workflows from Claude Desktop or Cursor, including workflow CRUD, execution monitoring, credential management, a full node catalog with validation/autofix, snapshots with rollback, health reports, backup/import, and admin tools.
    61
    163 npm
    21
    MIT
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    Enables AI assistants to inspect and control an n8n instance's workflows and executions via an HTTPS MCP endpoint, including listing, activating/deactivating workflows, and reading execution history.
    MIT
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    Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.
    6
    73 npm
    MIT
  • A
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    MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.
    6
    1,293 npm
    322 PyPI
    2
    MIT
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    Enables AI agents to operate the Unreal Editor via MCP: reading, creating, and editing blueprints at the node level, authoring materials and UMG widgets, auditing projects, and verifying runtime behavior in PIE with read-back checks.
    34
    1
    Apache 2.0
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    Enables secure, deny-by-default automation of Windows windows with per-action permissions, allowing observation, clicking, typing, and dragging on approved applications while verifying target identity and focus at runtime.
    Apache 2.0
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    Enables safe, credential-bounded inspection and diagnostics of n8n workflows through validation, health scoring, execution trace analysis, failure classification, regression detection, node suggestions, and version checks. Supports read-only and external modes so operators and agents can assess workflow health without credential management or destructive auto-repair.
    1
    MIT
  • A
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    quality
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    Search 47,000+ marketing agencies and get AI-matched with fitted agencies, from Pick an Agency.
    3
    2
    MIT
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    Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.
    6
    150 PyPI
    18
    MIT
  • A
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    Token-saving MCP proxy. Hides your MCP servers' tool lists behind a search tool and shrinks large tool results (GitHub, Playwright, logs, test output), keeping the full result available on request. One-command setup for Claude Code, Codex, Claude Desktop and Cursor.
    10
    43 PyPI
    2
    MIT
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    quality
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    Safe MCP server and CLI tool for testing, scoring, and inspecting n8n workflows. Features 19 tools for workflow testing, execution traces, tiered scoring, and a built-in node catalog with 800+ node types. Designed with safety-first approach: no credential management, no secrets lifecycle, no auto-fix loops.
    19
    1
    MIT
  • A
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    Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.
    25
    93 PyPI
    4
    MIT
  • A
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    Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.
    3
    124 npm
    1
    MIT
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    Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.
    10
    MIT