"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.

Enables MCP clients like Claude to access a user's Medium account, including Following and For you feeds, full member-only posts, search, reading lists, and managing follows, saves, and claps after a one-time browser login.

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

AI-powered blog generation system that automates research, content generation, quality checks, and Medium export for technical blog posts.

AutomateLab Content Distribution publishes content across DEV.to, Hashnode, GitHub Discussions, Reddit and Bluesky, with browser workflows for LinkedIn, Medium and X. Tracks publishing state and adapts content per platform. Product and documentation: https://automatelab.tech/products/mcp/content-distribution-mcp/

Pre-trade token safety check for AI agents. Simulates a sell before you buy, then reports honeypot, tax, liquidity, pair age, same-ticker impersonation and owner powers as one low/medium/high/unknown verdict. Fail-closed: when a critical check cannot run it answers unknown rather than guessing low. Publishes its own measured error rate with the benchmark harness in the repo.

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.

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.

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