"ClawdBot Worker - Bot or Worker Service Information" matching MCP servers:

A local-first MCP server that handles daily work tasks through your AI assistant: converts meeting notes into todos, manages todo lifecycle, tracks work hours, generates daily/weekly reports, organizes files via move-only operations, and diagnoses dev environments, all guarded by a human-maintained preview/apply safety model.

Delegates 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.

Enables any MCP client to delegate a scoped task to a local Ollama model that runs its own tool-calling loop for file operations and web search, with an allow-listed folder security model.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables agents to inspect a local Bot archive by listing bots, retrieving transcripts, and searching message text with surrounding context over stdio, without network access or API keys.

Enables AI agents running inside Terok containers to execute commands, drive persistent PTY sessions, and transfer files on pre-configured remote development containers over an authenticated host-side HTTP gateway. Agents reach these targets without ever holding host SSH credentials, and may only select targets permitted by their token's ACL.

Enables viewing, uploading, downloading, and creating files and folders on Yandex.Disk, while preventing modifications to existing files.

Enables coding agents to offload reading and summarizing multiple large files to a cheaper worker LLM, keeping full file contents out of the main agent's context.

Enables users to access local files, manage persistent notes via CRUD, fetch URLs, inspect system information, and analyze or transform text through MCP tools.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

Serves a sandboxed terminal bot's tools over stdio so any MCP client can feed, play with, rest and treat the bot, read and write files inside a restricted directory, list directories, and review or undo previous writes.

Enables AI agents to safely read, edit, and execute local Jupyter notebooks without running a separate service. Edits are guarded by compare-and-swap hashes and execution resumes or replays kernel state, so long-running cells aren't needlessly re-run.

Enables local, private analysis of CSV and TSV files through natural-language agents such as Grok Bot and Cursor, offering file listing, profiling, SQL-like queries, summaries, group-bys, pivot tables, cleaning previews and generated charts. All computation happens on the user's own machine against an allowlisted folder, with no network calls, telemetry or data leaving the host.

A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.

Enables storing durable AI memories linked to local JSON or text sources, automatically superseding outdated structured values, flagging ambiguous changes for review, excluding expired information, and preserving revision history in a local SQLite database.

An MCP server that lets AI agents compress images, PDFs, video, audio, documents, and archives, writing the smaller versions back to disk via the MiCompress service.

Enables remote MCP clients to access local filesystem and shell commands by deploying a Cloudflare Worker relay and a local daemon, providing tools like read/write files, exec commands, git status, etc.

Enables communication with users through Telegram, including asking questions, sending notifications, sharing files, and creating project archives via a bot.

Provides a Dockerized MCP worker that gives Poke AI assistants persistent terminal control and filesystem access on your machine, with automatic tunnel connection and optional command notifications.

Enables an OAuth-capable AI assistant to manage a self-hosted Linux server, starting with host-health and probe snapshots and optionally expanding to shell commands, bounded text-file reads/writes/moves, and asynchronous jobs through an owner-authenticated local broker. Configuration and credentials stay private on your own machine, with no hosted service or model API keys required.