mcp-n8n-builder (spences10/mcp-n8n-builder) is an MCP server listed on the M8ven Trust Index. It scores 64 out of 100, grade C. It declares 10 tools. No publisher has claimed this listing.
๐ช MCP server for programmatic creation and management of n8n workflows. Enables AI assistants to build, modify, and manage workflows without direct user intervention through a comprehensive set of tools and resources for interacting with n8n's REST API.
Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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spences10
Source: mcp.so ยท also listed on ModelScope, github_topic
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
list_available_nodesLists all available nodes in the n8n instance. Use this tool BEFORE creating or updating workflows to ensure you only use valid node types. This helps prevent errors caused by using node types that do not exist in the current n8n instance.
list_workflowsLists all workflows from n8n with their basic information including ID, name, status, creation date, and tags. Use this tool to get an overview of available workflows before performing operations on specific workflows. Results can be filtered by active status, tags, or name.
create_workflowCreates a new workflow in n8n with specified nodes and connections. Note that only workflows with automatic trigger nodes (schedule, webhook, etc.) can be activated - workflows with only manual triggers cannot be activated. Returns the created workflow with its assigned ID.
get_workflowRetrieves complete details of a specific workflow by its ID, including all nodes, connections, settings, and metadata. Use this tool when you need to examine a workflow's structure before updating it or to understand how it works.
update_workflowUpdates an existing workflow with new configuration. Typically used after retrieving a workflow with get_workflow, modifying its structure, and then saving the changes. The entire workflow structure must be provided, not just the parts being changed.
delete_workflowPermanently deletes a workflow by its ID. This action cannot be undone, so use with caution. Consider deactivating workflows instead if you might need them again later.
activate_workflowActivates a workflow by its ID, enabling it to run automatically based on its trigger (schedule, webhook, etc.). Note that only workflows with automatic trigger nodes can be activated - workflows with only manual triggers cannot be activated.
deactivate_workflowDeactivates a workflow by its ID, preventing it from running automatically. The workflow will still exist and can be manually executed or reactivated later. Use this instead of deleting workflows that you might need again.
list_executionsLists workflow execution history with details on success/failure status, duration, and timestamps. Use this tool to monitor workflow performance, troubleshoot issues, or verify that workflows are running as expected. Results can be filtered by workflow ID, status, and limited to a specific number.
get_executionRetrieves detailed information about a specific workflow execution, including execution time, status, and optionally the full data processed at each step. Particularly useful for debugging failed workflows or understanding data transformations between nodes.
Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.
@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse
Anthropic's MCP TypeScript SDK has a ReDoS vulnerability
Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default
CACHE_ENABLEDEnable caching falseCACHE_TTLCache TTL in seconds 300LOG_LEVELLogging level "info"N8N_API_KEY"": "your-n8n-api-key",N8N_HOST"": "http://localhost:5678/api/v1",OUTPUT_VERBOSITYVerbosity Control: Use =concise (default) for summaries instead of full JSONTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
10/10 tools missing one or more hints โ list_available_nodes (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_workflows (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); create_workflow (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +7 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handlerโs actual behaviour.
Tests exist
No test files found
Add tests that exercise each declared tool.
Production dependencies are patched
0 critical, 3 high severity in production deps โ @modelcontextprotocol/sdk@1.15.1 (high), @modelcontextprotocol/sdk@1.15.1 (high)
Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.
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