"Vector Database" matching MCP servers:

Enables Claude Code to read encrypted WeChat chat history from local database, search messages, view sessions and contacts.

Enables comprehensive LinkedIn profile search, data extraction, and contact enrichment using Google Search, Apollo.io, and AI-powered analysis. Includes automated data mining workflows with database storage and CSV export capabilities.

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.

Archives posts from X into a local SQLite database and provides tools for semantic analysis and natural language search. It enables agents to manage low-cost data ingestion and retrieve relevant posts using local embeddings and topic labeling.

MCP server for The Culture, a fashion-focused social media app, exposing Supabase database operations and Hugging Face model inference as tools for use in Claude Code, n8n agents, and the Larry orchestrator.

An MCP server that gives read-only access to the open database of uploaded Twitter/X archives, enabling tweet lookup, full-text and per-account search, timeline windows, follower/following overlap, thread reconstruction, and dated proof "receipts" for posts. It can run as a hosted OAuth connector with per-user API keys or as a local stdio server.

An MCP server for cross-platform social media research that enables scraping, semantic search, and analysis across seven major social platforms. It uses Apify for data retrieval and stores results in a local database for AI-powered trend detection and profile analysis.

An MCP server that enables users to interact with the Bluesky social network through comprehensive read and write API tools, including session management and timeline navigation. It also features a Jetstream-powered local SQLite database for indexing and searching Japanese posts.

MCP server exposing WhatsApp Web REST API (wwebjs-api) as ~149 automated tools, enabling AI agents to send messages, manage sessions, and interact with WhatsApp through natural language.

Enables agents to save images and videos from social links into a local library, then browse records, download media, refresh metadata, and inspect timestamped engagement counts through tools like save_media, list_records, and get_media. It connects to the running backend over stdio or streamable HTTP, using a local library token rather than opening its own database.