"Medium" matching MCP servers:

Enables reading Medium articles via a local MCP server using a persistent Edge profile. Supports searching and fetching articles as Markdown after manual Google login.

Medium CLI + 23-tool MCP server. Hybrid official API + dashboard GraphQL. Your IDE drafts the responses — no AI API keys.

Enables AI assistants to read and analyze Medium blog posts, including member-only content with login support, and search articles by author or keyword.

MCP server for interacting with the Medium API. Allows AI agents to publish posts, manage publications, upload images, and parse RSS feeds to JSON.

This server that distributes a single piece of content across 8+ channels (DEV.to, Hashnode, GitHub Discussions, Reddit, Bluesky, LinkedIn, Medium, Twitter) with automatic platform-specific adaptation, idempotent publishing, per-community anti-spam rules, and centralized state management.

Cross-publishes a single markdown draft to 5 CMS platforms (dev.to, Hashnode, Ghost, WordPress, Medium) and 4 social networks (Bluesky, Mastodon, LinkedIn, X) from any MCP client, with built-in SEO scoring, schema.org JSON-LD, and canonical URL handling so cross-posts compound search rankings instead of competing.

Generates blog and social media images using Google's Gemini AI with pre-configured platform presets for Ghost, Medium, Instagram, Twitter, LinkedIn, YouTube, and more.

Provides construction-supervision tools for small-to-medium building projects, including stage guidance, inspection checklists, progress tracking, next-stage recommendations, and quotation analysis. It enables local, standards-based MCP interaction over stdio without third-party MCP SDKs.

Classifies development task complexity (LIGHT/MEDIUM/HEAVY) and recommends the most cost-efficient AI model per provider, enabling optimized model selection for coding tasks.

Enables querying Mexico's SAT public lists to verify RFCs in bulk, search by business name, and obtain tax risk verdicts such as critical, high, medium, low, or clean.

Enables users to select thinking depth (easy, medium, more, max) for AI responses through natural language, with iterative agent passes for improved quality.

MCP server that provides 8 tools for Java memory leak investigation: \- Class histograms, GC pressure snapshots, JFR recordings, heap dumps, MAT leak suspects analysis, async-profiler allocation profiles \- Structured confidence-based verdicts (none/low/medium/high) requiring independent signal corroboration \- Designed for use inside Claude Code with two slash commands