mcp-minions
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- AlicenseNot gradedqualityBmaintenanceEnables local structured extraction, classification, and summarization of text with automatic context management and caching, keeping data on your machine.MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude Code to delegate mechanical tasks (summaries, boilerplate, reformatting) to local models running in LM Studio.1MIT
- AlicenseAqualityBmaintenanceOffloads cheap work from cloud LLM agents to a local Ollama model, reducing costs and keeping frontier models focused on complex tasks.833 PyPI3MIT
- AlicenseBqualityCmaintenanceDelegates heavy, repetitive, and verifiable tasks like PDF extraction, code analysis, and log processing to a local LLM to reduce token consumption for frontier AI models, while keeping decision-making with the main AI.8MIT
- AlicenseNot gradedqualityDmaintenanceEnables Claude to delegate coding tasks to local Ollama models, reducing API token usage by up to 98.75% while leveraging local compute resources. Supports code generation, review, refactoring, and file analysis with Claude providing oversight and quality assurance.383 npm25AGPL 3.0
- AlicenseAqualityCmaintenanceEnables Claude Code to offload routine code generation and text processing tasks to a local Ollama LLM, saving Cloud API tokens and costs with automatic model selection and security features.11124 npm4Apache 2.0
TDQS
Scored across 6 tools
classify, extract, and summarize target three clearly distinct operations (classification, schema-based field extraction, summarization), and each _file variant is explicitly documented as the same operation with a file input source. There is no real ambiguity about which tool performs which action.
All names use a consistent snake_case verb pattern, with the _file suffix applied uniformly to denote the file-reading variant of each operation. The taxonomy is predictable and readable.
Six tools for three core text operations plus their file counterparts is tight and well-scoped; every tool earns its place with no redundancy beyond the intended input-source pairing.
The surface covers the three primary operations for both raw text and local files, forming a coherent lifecycle. Minor gaps exist (e.g. no batch, URL, or stdin input variants), but agents can work around them by reading content themselves.