"Dota 2" matching MCP servers:

MCP server to drive a local JDownloader 2 instance through its entire download lifecycle, including adding links/containers, linkgrabber management, queue control, priority, force-start, progress tracking, and cleanup.

PDF extraction that actually works. The only extractor that audits every page. #2 on opendataloader-bench. 5 MCP tools for AI agents: metadata, convert, analyze, batch, structured extraction.

An MCP server for ROS 2 development that enables controlled creation of workspaces, packages, nodes, launch files, and tests within a sandboxed directory, with secure filesystem boundaries.

Reads A5:SQL Mk-2 ER diagrams and SQL files locally, making them accessible to AI tools via the MCP protocol without executing SQL or writing to databases.

A tuned filesystem MCP server for Codex-style development, offering fast file operations, bounded output, and safe edits.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Enables users to index local Markdown articles and then search, filter, list, and retrieve them through MCP tools while keeping all content on the local machine.

Enables interaction with the HMS O2 cluster via SSH, allowing job submission, remote command execution, file transfers, and disk management while minimizing Duo authentication prompts.

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

Enables AI assistants to read local documents by converting PDFs, Office files, images, and audio to Markdown on-device, without uploading them.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

Enables AI assistants to read, edit, and execute Jupyter notebook files (.ipynb) with live kernel output, without requiring JupyterLab.

Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.

Analyzes unstructured documents in a local folder, extracting structure and key terms, and supports generating summaries via a host LLM with validated, approval-based report saving.

Enables agents to run read-only coverage and staleness checks on local folders and documents, reporting missing periods or mismatched figures without writes, deletes, or network calls.

Provides direct, unsandboxed local machine access via filesystem, Python, Node.js, and shell commands for MCP agents.

An MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.

locidx

Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.