"A guide to finding the best-performing Instagram posts" matching MCP servers:

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

A planned MCP server that exposes Instagram professional account operations (content publishing, media management, comment moderation, insights, and discovery) through safe, well-annotated tools via the official Meta Graph API.

Enables agents to interact with Instagram through 49 tools for direct messages, feed, profiles, search, and persona discovery, with write actions disabled by default until explicitly enabled.

A Model Context Protocol (MCP) server for producing better Terraform through CLI analysis (tflint, checkov, trivy, kics, infracost), best-practice guidance from terraform-best-practices.com, cloud provider recommendations (Azure, AWS, GCP), and Terraform Registry resource and module guidance.

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

Enables sharing YouTube, TikTok, and Instagram posts to Instagram Stories through a local stdio server, including account checks, URL previews, close-friends publishing, highlight addition, and operation status checks while using a separately configured HTTP Relay for Instagram communication.

Enables users to read and analyze their own LinkedIn posts and shares using OAuth login and LinkedIn's Member Data Portability API. Supports post listing, analysis, draft matching, and engagement enrichment.

Enables agent-driven CAD automation by inspecting, editing, and validating DWG drawings through a handle-first workflow, with support for visual grounding, CADPlan execution, and local SQLite workspace management.

MCP server for organic Instagram analytics via the Meta Graph API, providing read-only tools for profiles, media, insights, audience, and optional publishing.

Enables local research of public Instagram Reels through a dashboard, CLI, and 22 MCP tools, with optional Codex or Claude Code analysis.

Enables publishing, scheduling, and measuring Instagram carousel, image, Reels, and Story posts, along with listing and responding to comments and checking account metrics through natural language.

Automates Instagram profile scraping using Playwright with saved login sessions and generates AI-powered analytical reports. Enables users to extract profile data, recent posts metadata, and receive OpenAI-generated summaries through natural language interactions.

Analyzes public Instagram post URLs, returning captions and photos as image content for multimodal models like Claude, without requiring paid vision APIs.

An MCP server that determines which Instagram accounts you follow that do not follow you back, using a dedicated authenticated browser profile and caching derived results locally.

Provides deterministic parental guidance for children with chronic kidney disease, including food safety checks, lab report interpretation, and nutrient-aware food substitutions based on authoritative guidelines and the Chinese Food Composition Table.

Enables running and growing an Instagram professional account from Claude, Cursor, Codex or any other MCP client through Meta's official API: publishing and scheduling reels, carousels, photos and stories, A/B testing trial reels, replying to comments and DMs, reading insights, and researching hashtags and competitors. It runs locally with tokens stored in the OS keychain and installs with a single setup command.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

Enables MCP clients like Claude and Cursor to query public Instagram data read-only — profiles, posts, reels, stories, highlights, comments, likers, followers, hashtags, places, audio and search — over local stdio without writing files or storing anything.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

A professional MCP server for managing and posting Instagram content, including PDF-to-image conversion, carousel batches, auto-posting, and Cloudinary hosting.

MCP server that connects AI agents to Instagram for reading statistics, insights, and comments via the official Meta Graph API.

A server that allows fetching Instagram posts using Chrome's existing login session via Model Context Protocol (MCP).

Enables AI assistants to operate an Instagram account through standard MCP tools — searching hashtags, reading posts and comment threads, posting comments and replies, reading and sending direct messages, fetching the timeline feed, and liking media — while managing Python FastMCP subprocess lifecycle, persistent login sessions, and two-factor authentication.

Skill librarian for coding agents: describe a task and get the few matching skills from a large local skill collection, then report whether they worked. Runs locally with Ollama and SQLite.

Guides users to official WCAG and W3C resources for learning web accessibility, without providing its own explanations.

Enables AI agents to publish images and Reels to an Instagram Business account through the Meta Graph API, with tools for uploading media, creating and publishing containers, managing comments, and retrieving insights.

Enables an agent to submit a task brief and receive a short, validated list of skills from its full catalogue that are worth reading before starting.

Lets Claude Desktop read the reels and metrics (views, reach, likes, comments, shares, saves, watch time) of your own professional Instagram account through Meta's official Graph API, storing everything in a local SQLite database. It answers natural-language questions about performance over time, flags exceptional reels, and snapshots follower counts, while remaining strictly read-only and running entirely on your own machine.

Exposes Open Video Guide functions to MCP clients, enabling conversion of tutorial videos into illustrated, verifiable guides with timestamps, evidence, and review states.

Improves AI agent task performance by providing task area segmentation, hierarchical RAG, and hybrid search capabilities.