mcp-server-kilango
Related Servers
Alternatives to mcp-server-kilango
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI clients such as Claude, Cursor, VS Code, and Windsurf to manage workspaces, projects, tasks, and AI agents through natural language, using a hosted OAuth-authenticated endpoint or a local stdio package. It also ships an OpenAPI codegen tool for generating MCP tools from any OpenAPI spec.3,240 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants like Claude, Cursor, VS Code, and Windsurf to manage workspaces, projects, tasks, and AI agents through natural language, with a hosted OAuth server or a local stdio package. Also supports generating MCP tools from any OpenAPI spec.3,240 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI clients such as Claude, Cursor, VS Code, and Windsurf to list and manage workspaces, projects, tasks, AI agents, and automations through a hosted OAuth-secured endpoint or a local stdio package. Also generates MCP tools from any OpenAPI spec.3,240 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI clients such as Claude, Cursor, VS Code, and Windsurf to list, create, update, and complete workspaces, projects, tasks, and AI agents through OAuth- or token-authenticated tools. It also ships an OpenAPI-to-MCP generator for building agent tools from any OpenAPI spec.3,240 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables clients such as Claude, Cursor, VS Code, and Windsurf to manage workspaces, projects, tasks, and AI agents through a hosted OAuth endpoint or a local stdio package, and to generate MCP tools from OpenAPI specs.3,240 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI clients such as Claude, Cursor, VS Code, and Windsurf to read and manage workspaces, projects, tasks, and AI agents, and to build automations through natural language. It also includes an OpenAPI codegen that turns any OpenAPI spec into MCP tools.3,240 npmMIT
TDQS
Scored across 48 tools
Most tools follow a clear resource+action pattern (portal, page, block, app, widget, connection), making them distinguishable. Some minor overlap exists: kilango_add_content_block vs kilango_place_widget both add items to a page, and kilango_move_block vs kilango_update_content_block/kilango_update_widget vs kilango_reorder_blocks all deal with positioning/moving elements. The descriptions do help disambiguate these cases, but an agent could misselect between move/reorder/update-position tools.
All 48 tools follow a consistent `kilango_` prefix with verb_noun naming: list/get/create/update/delete/archive/publish/unpublish/save/add/place/activate/deactivate/install/uninstall/connect each pair with a clear object (portal, page, block, widget, app, connection). The pattern holds uniformly across all tools, making the naming predictable.
48 tools is on the larger side, but the domain is genuinely broad — portal management, page building, widget placement, app lifecycle, connection management, and an escape hatch. Each tool covers a fairly distinct operation. However, there are many overlapping position/move tools (move_block, reorder_blocks, update_content_block, update_widget) that could arguably be consolidated, and the count feels slightly heavy.
The tool surface is remarkably complete for the domain: full portal lifecycle (create, update, get, list, publish, unpublish, archive, delete, preview, readiness), page CRUD with fine-grained block/widget operations, app catalog and installation/activation lifecycle, connection management, vocabulary discovery, navigation editing with ETag handling, and an escape-hatch call_operation for anything not covered. There are no obvious dead ends — even readiness blockers and force-publish edge cases are handled.