$ loading_
Automate local engineering tasks with file, shell, search, and JavaScript tools.
This MCP tool comes from an official registry entry, is open source, and has recent updates, which are positive supply-chain signals. However, it explicitly exposes high-privilege local capabilities such as Read/Write/Edit/Bash/JS; despite having no secrets and no remote endpoints, it should still be treated as a sensitive local execution and data-access tool with caution.
The materials explicitly state that no keys or environment variables are required. No API tokens, account credentials, or third-party authentication are requested, so credential exposure risk appears low.
The materials list no remote endpoints, and the tool is described as exposing local tools over stdio. There is no evidence of sending user data to external services or connecting to unknown hosts.
The description explicitly includes Bash and JS tools, and the objective checks mark it as executes-code, indicating local command/code execution capability. This is a sensitive but common capability for this type of MCP tool and warrants runtime and scope restrictions.
The description lists Read, Write, Edit, Glob, and Grep, indicating it can read, write, modify, and search local file contents. The materials do not specify directory boundaries or sandboxing, so it should be treated as a local workspace data-access tool by default, though there is no evidence of permissions exceeding its stated purpose.
It comes from an official registry, is open source, and has been updated within the last year, all of which are positive signals. However, the missing README, undeclared license, and very low community adoption (0 stars) weaken audit context and external validation, so the supply-chain posture merits caution rather than a high-risk rating.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Platter" yet — see the docs or source repo.
Search the current project for all config files containing API_URL, list file paths and matches, replace the staging URL with https://api.example.com, and summarize the changes.
A list of matched files, a summary of edits made, and a completion report.
Read the latest log files in the logs directory, extract lines containing ERROR or timeout, summarize the main issues by frequency, and suggest debugging directions.
An error summary, frequency counts, and actionable troubleshooting suggestions.
Scan JS and TS files in the src directory, count each file type, find the largest files, detect files containing TODO, and generate a concise codebase overview.
A file statistics report, key file list, and a structured codebase overview.
Enhanced filesystem MCP tool for searching, reading, editing, deleting, and running commands.
Analyze project structure, read files, and understand codebases with context.
Search code, read files, and manage GitLab projects via API.
Enables secure local development with files, shell, editing, and persistent sessions.
Use AI to understand codebases, key files, and project flows quickly.
Manage files and folders with natural language, batch actions, and advanced editing.