"Information about the Instagram Graph API" matching MCP servers:

An MCP server that gives your agent a persistent project brain: vision, architecture decisions, conventions, roadmaps, and automatic session handoff.

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

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.

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

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.

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.

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

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

Exposes a Neo4j knowledge-graph index over personal markdown notes to LLM agents via MCP, enabling semantic search, tag navigation, and relationship discovery.

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.

Exposes a dependency graph of strategic sourcing artifacts and analyses as an MCP server, enabling navigation of phases, analyses, deliverables, and graph traversal for impact analysis and build order.

Enables Claude Code and other MCP clients to query a local, explainable knowledge graph of a codebase: answering questions, explaining symbols, tracing paths between them, and computing blast-radius impact, with every edge backed by file:line evidence. Read-only and fully offline — no network calls, telemetry, or runtime dependencies.

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.

An implementation of persistent memory for Claude using a local knowledge graph, allowing the AI to remember information about users across conversations with customizable storage location.

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.

A lean, local knowledge graph that joins a repo's code to its aSPARK delivery artifacts, enabling agents to trace user stories to code and assess impact of changes, served over MCP.

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

Enables coding agents to query a deterministic AST knowledge graph of a codebase over MCP—finding symbols, callers/callees, dependencies, impact, and relevant tests via compact path:line JSON—so they can navigate code without grepping, embeddings, or an LLM.