"Allowing a model to access and read content from links" matching MCP servers:

Turn natural language into 3D models in Fusion 360. 64 CAD tools including sketches, extrudes, fillets,and JIS standard parts.

MCP server that fetches API responses and generates ready-to-use model/POJO classes in your configured language, with built-in login/refresh token handling.

MCP server for AI agent affiliate attribution and commission tracking. 7 tools for program discovery, conversion tracking, attribution token verification, and commission queries.

Analyzes websites for broken links, missing meta tags, and redirect chains, returning a health score and actionable suggestions.

Enables MCP clients to read, search, and manage a Yahoo Mail mailbox over IMAP and send or forward messages over SMTP, with multiple accounts selectable per call and writes defaulting to drafts, trash, or dry-runs until explicitly confirmed.

Enables AI hosts to generate and open Mermaid diagram links in Markdown files, providing tools for syncing, listing, and injecting diagrams via the Mermaid.ai editor.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.

MCP server that converts file contents into compact, line-numbered PNG images for vision models to read, reducing token usage by roughly 7x for large files.

Enables read-only access to a single Gmail mailbox, listing emails within a date range and retrieving full headers and body text of individual emails, with deep-link jump URLs for each result.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

An MCP server that gives AI agents access to configured databases (PostgreSQL, MySQL, Redshift, SQL Server) with SSH/AWS SSM tunnels, pluggable secret providers, and strict per-instance isolation.

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/

Enables agents to retrieve the contents of public social media posts — text, author, date, engagement counts, links, photos, and video frames — from X, Instagram, Threads, Facebook, LinkedIn, Bluesky, Mastodon, YouTube, Vimeo, Tumblr, Pinterest, and Reddit by simply passing a post URL. It works entirely without logins, cookies, or API keys, reading only what each site already exposes publicly.

Enables Claude to review drafts by fact-checking claims against web sources, building the strongest counter-argument, suggesting copy edits, and flagging potentially unoriginal text, returning a sourced report.

Provides AI agents with structured short-form content mechanics including hooks, script structures, retention strategies, and CTAs, along with auditing tools to avoid common posting failures.

A read-only MCP server for Slack that reads messages from channels the bot is invited to, without storing data. It provides tools to fetch channel history, thread replies, and resolve user IDs, with access controlled solely by channel invitations.

MCP server that pings 130+ free coding LLM models across 17 providers in real-time, ranks them by latency, and helps AI agents pick the fastest available model.

Enables querying the Global Solo Banking Access Index to check which US business banking providers explicitly accept, restrict, or remain silent on applicants from 8 countries, with dated evidence URLs and provenance metadata.

Discovers local model runtimes such as Ollama, LM Studio, and LocalAI, and exposes their endpoint metadata to MCP clients like Copilot.

Enables reading and verifying C2PA Content Credentials from images and videos through both embedded manifests and invisible watermarks. Supports direct filesystem access, URL checking, and provides structured provenance data including creator identity, AI generation info, and content authenticity.

SERP-based content scoring and optimization with 7 SEO categories.

Enables editorial content QA over the Model Context Protocol with four local tools that analyze readability, AI-sounding language, SEO on-page factors, and produce full reports where every finding includes an actionable fix.

Provides content agents with structured search over editorial guidelines, visual templates, and past post outcomes, enabling auditable proposals that cite rule IDs.

Enables interaction with Prismic through tools for reading documents, managing media assets, and performing content migrations or updates. Supports the Prismic Content, Asset, Migration, and Custom Types APIs with secure write operations and multi-transport support.

Provides up-to-date AI model names and pricing from models.dev, solving model hallucination by fetching recently released models.

An MCP server for reading Twitter/X engagement data and metrics, enabling AI agents to measure tweet performance, track mentions, analyze replies, and search tweets with engagement metrics.

Enables AI coding agents to offload large file reads and boilerplate code generation to cheaper or local worker models through MCP, reducing token consumption and keeping context clean.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.