Mullet
Related Servers
Alternatives to Mullet
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables MCP-capable AI coding tools to dispatch tasks in parallel to multiple installed AI CLIs with automatic failover, plus run multi-AI discussions and cross-reviews, hand code off between tools, manage shared workspaces, and inspect token usage, traffic, clients, and task memory. Also exposes image recognition (OCR/vision), tool and client administration, and log access through a single local hub.9 npmMIT
- FlicenseNot gradedqualityAmaintenanceExposes an MCP server that pools free LLM provider routes behind one OpenAI-compatible endpoint, enabling chat and coding-agent requests with automatic failover, model/route discovery, and keyless start when available. It can begin serving without credentials whenever an enabled keyless route is up.-
- FlicenseNot gradedqualityAmaintenancePublishes an MCP server that pools many free LLM providers — including keyless routes — behind one local OpenAI-compatible endpoint, letting coding agents and compatible clients discover, route to, and fail over across available chat models. It also exposes tools for status, model inventory, and capacity/health inspection.-
- FlicenseNot gradedqualityDmaintenanceLocal MCP server that exposes fixed tools for GPT, Claude, and Gemini while routing to any OpenAI-compatible chat completions backend with independent configuration per target.1-
- AlicenseAqualityDmaintenanceOne MCP that turns Claude Code into your whole dev stack by swallowing other MCP servers, delegating to Codex & Gemini on your CLI subscriptions, remembering projects in a searchable knowledge graph, and carrying setup across sessions — secret-free by design.234MIT
- FlicenseNot gradedqualityDmaintenanceExposes your local machine's filesystem, git, shell, network, databases, and system to any MCP-compatible LLM client over HTTP.7-
TDQS
Scored across 53 tools
Several tools have overlapping search and memory purposes: mullet_search, trawl_search, trawl_search_pool, trawl_search_multi, trawl_summarize, mullet_remember, and trawl_memory_* all compete for similar retrieval/storage intents. Execution tools also blur together: mullet_run, mullet_opencode, mullet_delegate, mullet_swarm, and trawl_run_agent all perform routed LLM work with subtle boundary distinctions that an agent must parse carefully.
The mullet_ and trawl_ prefixes provide a useful top-level grouping, and all names are snake_case. However, within trawl the convention is mixed: some tools use action_resource order (trawl_search_entities, trawl_get_pool, trawl_load_pool) while others use resource_action order (trawl_agents_list, trawl_pool_delete, trawl_memory_store, trawl_workflow_create).
At 53 tools, the surface is very large and heavy for a single server, spanning orchestration, search, ingestion, graph operations, memory, workflows, agents, prompts, and docs. While these are related platform capabilities, the count far exceeds a well-scoped set and increases selection burden.
The surface covers many lifecycle operations, including memory store/search/list/delete, workflow create/list/status/update, pool management, ingestion, graph build/stats/export, agents, prompts, and docs lookup. But there are notable gaps such as no clear entity or relationship update/delete beyond graph pruning, no task cancellation or explicit active-task listing, and limited update/delete coverage for prompts and agents.