"SQLite" matching MCP servers:

Enables finding TikTok and YouTube micro-KOLs, classifying their niches, scoring campaign fit with Jev, and drafting outreach emails, with results cached locally in SQLite.

MCP server for Fansly account analytics using your own session, storing metrics in local SQLite. Provides tools for profile metrics, post performance, top fans, churn, and more.

Enables AI assistants to manage scheduled social media posts and content automation across multiple platforms (X/Twitter, Reddit, LinkedIn, Instagram, TikTok, YouTube). Supports organizing campaigns into tracks, scheduling posts with natural language, and automating content workflows with local SQLite storage.

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.

Enables reading, searching, and posting to LiveJournal journals via the legacy XML-RPC API, with local SQLite caching for offline search.

A local MCP server that unifies advertising campaigns, spend, and analytics from platforms such as Google Ads, Yandex Direct, Telegram Ads, and Microsoft Advertising into one interface for an AI agent, storing data locally in SQLite with explicit confirmation for external actions.

A self-hosted WhatsApp gateway that exposes messaging capabilities via MCP, allowing AI agents to send, receive, and manage WhatsApp messages through a single-command setup with SQLite storage.

Self-hosted football social-media agent that drafts posts, generates assets, and requires Telegram approval before publishing, with stateful SQLite storage and async image jobs.

Enables AI assistants to read and search a user's LinkedIn inbox and message history, look up and search profiles, manage invitations and connection requests, and send messages, with local limits and SQLite storage.

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.

A local MCP server that signs in to a personal Telegram account and mirrors chats into a local SQLite store, letting Claude read history, search messages, track chats awaiting replies, and draft or send responses. It also supports organizing conversations through folders, labels, archiving, muting, and step-by-step cleanup plans.

Enables MCP clients to control a logged-in Discord account through 70+ tools: browsing guilds and channels, sending and reacting to messages, moderating members, managing channels, roles, emojis, and webhooks, plus searching and analyzing captured message history stored in SQLite. Authenticates using tokens already cached by the local Discord client, requiring no bot account or manual token setup.

Enables agents to collect and read Xiaohongshu notes into a local SQLite store, deduplicate them, attach evidence-backed judgments, apply rule-based screening and track outreach stages, then export the results as JSON or CSV. Exposes ten standard tools over stdio, working offline on imported data or against a configurable platform provider.

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.

Full-featured personal WhatsApp MCP server: read and full-text search all chats, send, reply, react, edit and delete, media as raw files, groups and communities, multi-account and live notifications. Rust server with a Go whatsmeow bridge, local SQLite.

A headless local stdio server that gives an MCP-compatible assistant durable relationship memory for LinkedIn contacts — resumable ingestion into SQLite, source-backed labels, organizations, opportunities and follow-ups, plus revision-checked draft preparation held in an outbox. It enables evidence-based classification and reply drafting from your own approved LinkedIn API access without any automatic sending, browser automation, or telemetry.

A local-first LinkedIn workspace that turns your own documents, CVs, repositories, and exports into a verifiable claim ledger and evidence-backed canonical profile, enabling evidence import, claim verification, profile patching, post drafting, content planning, analytics, and publication approvals through MCP tools — all stored locally in SQLite with an optional human-review dashboard.