"The official LinkedIn platform or related resources" matching MCP servers:

Enables MCP clients to read bounded workspace files, validate exact replacement plans for the VS Code extension, and check recent typing progress without modifying source or running shell commands.

Enables Claude to read your own LinkedIn profile directly from a local data export, with no API keys, OAuth, or scraping. Tools cover profile, positions, skills, posts, connections, and more, supporting editing drafts and cross-checking against résumés.

A local-first LinkedIn workspace that turns your own documents, CVs, repositories, and exports into a verifiable claim ledger and evidence-backed canonical profile, enabling evidence import, claim verification, profile patching, post drafting, content planning, analytics, and publication approvals through MCP tools — all stored locally in SQLite with an optional human-review dashboard.

Enables comprehensive filesystem operations across Linux, macOS, and Windows with platform-aware command execution, secure path restrictions, and intelligent adaptations for file search, directory management, and shell commands specific to each operating system.

Enables AI agents to remotely operate visual design tools via MCP protocol, with composable architecture for image processing, file operations, and workflow automation.

Official MinerU MCP server for parsing PDF, DOCX, PPTX, images, and HTML into Markdown. Supports 109-language OCR, Flash mode (no token), and Precision mode (token)

Enables authenticated clients to discover and call tools for scoped file listing/searching, request client-side LLM sampling, and receive real-time progress/log notifications over stdio or secure Streamable HTTP, with tenant/user workspace isolation and a loopback browser dashboard.

Lets any MCP-compatible AI assistant read and edit Autodesk Civil 3D drawings through tools for alignments, surfaces, corridors, pipe networks, quantity takeoff, and cut/fill, using a local bridge plugin and named pipes.

A FastAPI-based JSON-RPC 2.0 server implementation that enables users to work with HDF5 files, submit Slurm jobs, retrieve CPU information, and visualize CSV data through standardized API endpoints.

Manages LinkedIn prospecting CSV files with deduplication and search, reducing LLM token usage by offloading file operations.

Enables an AI agent to inspect and safely edit local .ics calendar files, query agendas, find free/busy slots, detect overlaps, and handle time zones, DST, and recurrence rules.

Enables AI agents to inspect and safely edit Excel workbooks by distinguishing formulas from cached values, previewing changes with dry runs, detecting what a save would lose, and refusing unsafe writes.

Enables an AI agent to run read-only SQL over local CSV, Parquet, and JSON files through MCP tools, with directory sandboxing, statement gating, timeouts, and query timeouts that keep access confined to permitted folders. Results are shaped for small context windows with row caps, truncation notices, and markdown/CSV/JSON output.

Enables an AI agent to inspect images, resize and compress them to size budgets, strip EXIF/GPS metadata, generate thumbnails, and safely batch-process files inside a directory sandbox.

Enables an AI agent to search a folder of markdown notes, follow links and backlinks, and safely rename notes while rewriting every link to them.

A production-grade Model Context Protocol server that enables secure management of context data through a React dashboard, supporting ZIP processing, context approval workflows, and system monitoring.

Official MCP server for UploadKit, the file-uploads platform for developers. Gives Claude Code, Cursor, Windsurf, and Zed first-class knowledge of UploadKit's 40+ open-source React components, Next.js route handler scaffolding, wiring, BYOS (S3/R2/GCS/B2) configuration, and full-text search across 88+ docs pages. Runs locally via npx — no API key, no telemetry, no config.

A production-style MCP server that lets Claude Desktop search your local documents using TF-IDF keyword search. No heavy frameworks, just plain Python and the official MCP SDK.

Enables AI agents to inspect PDFs, merge or extract pages, and clean text entirely offline through the Model Context Protocol, with no uploads, API keys, or network calls.

Enables downloading real binary files from Egnyte and uploading large files with chunked support, complementing the official Egnyte MCP connector.

Provides filesystem, web search, SQLite, and system tools for AI assistants like Claude, enabling secure access to local resources and the web.

Gives mobile AI assistants a real local command-line workspace and manages Cloudflare resources (Pages/D1/KV/R2) via REST or wrangler, with credentials remaining on-device.

An MCP server that allows users to upload projects (single files or directories) to the Yourware platform, enabling easy deployment and showcasing of projects.

Enables AI coding agents to audit and sweep away transient scratch directories, bloated test caches, and forgotten probe scripts in a workspace, with dry-run previews to guarantee nothing tracked or production-related is touched. It also detects zombie background dev servers still holding common ports like 3000, 5173, and 8000.

A Model Context Protocol server for downloading Jira Cloud attachments by attachment ID to local disk. Supplements the official Atlassian MCP server which lacks attachment download functionality.

Provides AI agents with Obsidian vault operations via the official CLI, including reading, writing, searching notes, and managing files, with security and concurrency protections.

Enables PDF generation from HTML, text, and Markdown content with customizable formatting options. Provides secure cross-platform PDF creation tools that automatically save to user directories like Downloads, Documents, or Desktop.

This MCP server lets an agent validate a local image's format, byte size, and pixel dimensions against published upload limits, and draft a cautious Basic or Pro enhancement plan from a blur description. It also surfaces the official site, pricing, and contact links, all without uploading or processing any image pixels.

mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)

Provides tools and resources for managing in-memory documents, allowing users to read, edit, and list document contents via the Model Context Protocol. It includes features for formatting documents to Markdown and accessing document-specific resources.