Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI agent developers, power users, and any MCP-aware coding agent user (Claude Code, Cursor, Codex CLI, Gemini CLI, Qwen Code) who needs a single MCP server that gives the agent the local tools the model genuinely cannot do on its own — without sending any data to a third-party service. The durable differentiator is the 35+ local tools + bundled ffmpeg + offline OCR + stdio-only + no-net
Who should use it
Who should skip it
Skip medoxisto/toolbox-mcp unless the captured evidence suggests it solves a problem you are actively working on.
About this signal
medoxisto/toolbox-mcp is tracked by RepoRadar as a local mcp server with 35+ tools in the MCP Servers section. It was first seen on 2026-07-04 and last updated on 2026-07-04. The current verdict is 'try now' with a Silver tier and easy setup difficulty. The standout signals for medoxisto/toolbox-mcp are workflow potential (9.2) and setup ease (8.8), while maturity (5.6) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned medoxisto/toolbox-mcp a composite score of 7.7 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'low' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.
Risk explanation
Bundled ffmpeg adds to the install size — the npm install path pulls the bundled binary; so first-time install on a slow connection can take a few minutes; pin the version and budget the first-install time; Offline OCR uses a local model — the OCR accuracy depends on the bundled model.