nifi-mcp
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- AlicenseNot gradedqualityAmaintenanceEnables an AI assistant to turn a plain-language description into a working Apache NiFi 2.x flow, validate and layout the canvas, run test data, golden-file replays and diagnostics, and commit only verified versions to the NiFi Registry. It exposes 44 read-or-write tools for exploring, building, testing, debugging and releasing flows, staying read-only unless writes are explicitly enabled.2Elastic 2.0
- FlicenseBqualityCmaintenanceEnables AI agents to manage and interact with Apache NiFi through its REST API, covering process groups, processors, connections, queues, provenance, and version control via natural language tool calls.28-
- AlicenseNot gradedqualityBmaintenanceEnables reading, querying, and editing Node-RED flows.json files through MCP, providing tools for node management, layout validation, and deployment.222 PyPI24MIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients such as Claude Desktop, Claude Code, and Cursor to discover node types, author and validate typed multi-agent workflow files, launch runs against a workspace, and retrieve run status, node outputs, and workspace change details.MIT
- AlicenseNot gradedqualityDmaintenanceEnables management of multiple N8N workflow automation instances through MCP. Supports listing, creating, updating, deleting, executing workflows and monitoring their executions across different N8N environments.104 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to understand Apache NiFi flows, investigate failures with cited evidence, and draft reviewable flow files while keeping live NiFi access read-only.Apache 2.0
TDQS
Scored across 35 tools
Most tools have distinct resource/action pairs, and descriptions clarify overlaps such as apply_flow_spec versus granular create_* calls. However, create/import/replace/apply_flow_spec and schedule_process_group versus set_run_status could still create confusion in edge cases.
All tools share the nifi_ prefix and snake_case, and the vast majority follow a verb_noun pattern. Minor deviations like nifi_about and nifi_current_user keep it from being perfectly uniform, but the convention is highly predictable.
35 tools is heavy for this surface, with many granular list/get/create/update tools that could be consolidated through apply_flow_spec or grouped by resource. While NiFi is genuinely complex, the count exceeds a comfortable selection range for an agent.
The surface covers most core flow lifecycle operations: process groups, processors, connections, controller services, parameter contexts, health, queues, and import/export/apply. Notable gaps remain around dedicated create/update port tools (though apply_flow_spec can create ports) and user/group policy management.