"Pull requests authored by user '8randonpickart5'" matching MCP servers:

Enables AI apps to extract tables from local text PDFs and return each table as CSV text, optionally saving the CSV files to a specified output directory.

Enables AI assistants to access and manage user profile information including name, company, location, role, interests, and skills. Supports both static configuration files and dynamic session-based storage with automatic date context.

A secure MCP server that connects ChatGPT/Codex to a local Obsidian Vault, enabling controlled knowledge retrieval, note maintenance, and daily ingest while enforcing path policies, concurrency checks, and audit.

Works out a health plan from your own record: which screening is due and evidence-based suggestions with citations. Reads and writes one health-roadmap.json file on your machine; nothing is sent to a server.

Mac file and terminal tools for local AI clients, plus an opt-in ChatGPT Developer Mode relay. Checked edits, bounded reads and real exit codes. Free MIT agent; OpenAI listing under review. Owner-level access, not a sandbox.

MCP server for creating and reading Word (.docx) documents with rich formatting support.

A modular MCP server suite that provides core tools, long-term memory, knowledge RAG, skills registry, and external integrations for AI agents.

Enables LLMs to maintain persistent memory by reading and writing Markdown notes and sibling image assets in a user-selected local or sync folder, with no cloud service, account, or server to run.

Enables an AI assistant to convert images among HEIC, JPEG, PNG, WebP, and AVIF entirely on the local machine, including converting a folder of files into a single zip. Access is confined to a user-specified root directory, metadata is stripped by default, existing files are never overwritten, and no network requests or telemetry are used.

Enables an agent to create, read, and list the Markdown cards in a user-owned card book, capturing people, events, places, things, and in-jokes as durable canon. Cards are stored as plain files with YAML frontmatter that the user can inspect and edit, while keyword-triggered surfacing is handled separately by a gateway or hook.

Downloads War Thunder server replay .wrpl fragments by user and session ID, storing them in organized local folders.

Enables AI agents to list visible objects, submit deletion requests into human-reviewed quarantine, and check the status of their own requests without granting delete, approve, or restore capabilities.

A distributed durable notebook MCP server for high-scale agents, providing git-like pull and commit tools with automatic conflict resolution.

Enables AI assistants to monitor and manage OpenMediaVault NAS systems by providing access to storage, network shares, user accounts, and system services. It supports OMV 5 and 6 via the JSON-RPC API for comprehensive hardware and configuration oversight through natural language.

A tool that dynamically generates and configures MCP servers by automatically creating necessary directories and files according to user specifications.

Integrates GitHub repository management and local file system access to enable AI agents to perform code reviews and manage pull requests. It provides tools for listing repositories, retrieving PR diffs, and searching or reading files within a specified workspace.

Enables safe, human-in-the-loop AI document collaboration by letting agents create isolated workspaces, edit tracked files, open reviewable Change Requests, and get human approval before merging, with Git-backed conflict detection and resolution.

Enables local sandbox synchronization, allowing agents to upload and pull files between their machine and a sandboxed box, while providing all the standard ParallelSandbox tools via stdio.

Provides secure, read-only database queries, HTTP GET requests with anti-SSRF protection, and file reading within a restricted directory.

Enables cloud AI agents to safely work on a Mac through MCP-style JSON-RPC by providing approval-gated command execution, jailed file access, signed requests, and a tamper-evident audit log. Risky actions require on-device approval, while files remain confined to a chosen folder with recoverable writes and deletions.

Enables remote Linux operations over Streamable HTTP, allowing MCP clients to read/write files, run shell jobs, keep disk memory, and activate operator-authored TypeScript tools, with operator confirmation for every tool call.

Lets a background Claude Code or Codex agent claim queued annotation and skill-based polishing requests from a local LaTeX review desk, receiving the selected text, surrounding source, section, and skill, then submit word-for-word edit proposals with rationale and fidelity notes, or reply without changing text. Proposed edits stay in the web UI for side-by-side approval, so nothing is written to the .tex sources until the user accepts.

A user management MCP server that enables CRUD operations on users stored in a JSON file, with random user generation using Faker.

Enables compatible AI clients to operate a local computer by accessing files, applications, processes, shells, and, on Windows/macOS, graphical desktop controls such as windows, screens, mouse, and keyboard. It runs locally with user permissions and confirmation previews for operations that change the machine.

MCP server enabling file operations and user management on FileBrowser Quantum via its REST API, with automatic authentication and multi-user support.

Enables AI clients to preserve and share knowledge as plain Markdown files in a local folder the user owns, with tools to remember, recall, get, update, forget, and list scopes. Memories are stored by scope, versioned rather than overwritten, and readable or editable in Obsidian or any text editor.

Enables the Gemini website, connected through Google's native custom MCP app, to list, read, create, edit and organize UTF-8 text files inside a user-chosen local folder on Windows. Access is bounded by a selected root, a workspace ID, a pause switch and read-only or read-and-edit permission, reached over a private HTTPS tunnel without needing a model API key.

Enables AI assistants to read and summarize local VCF, BAM, FASTQ, and h5ad genomics files by returning compact JSON summaries, so large files never enter the model’s context. It is read-only and restricted to user-allowed folders.

A simple Model Context Protocol (MCP) server that allows LLMs to create and manage user entries in a JSON file system database.

Enables access to browser data from Brave, Chrome, and Chromium — open tabs across all synced devices, browsing history with search and date filters, and bookmarks — by reading local profile files directly without authentication or network requests.