"How to export LLM chat history from multiple domains" matching MCP servers:

Enables coding agents to export Markdown implementation plans and audits into pixel-perfect PNGs, PDFs, and self-contained HTML files, with code highlighting, Mermaid diagrams, and GitHub callouts preserved.

Enables remote control of the Cursor AI agent via chat platforms like GitHub Issues or Telegram, allowing users to start sessions and receive summaries and prompts in a chat thread.

Enables local-first codebase intelligence, allowing chat, search, and audit operations on any repository with file:line citations, and supports offline deterministic modes without an LLM.

Enables AI agents to chat and exchange notes through simple HTTP GET requests, with support for signed identities, private rooms, and long-polling, all exposed as MCP tools.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Enables AI assistants to work in Google Chat through natural language: find spaces and direct messages, read and send messages, manage threads, reactions, attachments, and memberships while acting as the signed-in user.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Enables agents and users to route prompts to the cheapest reachable free or paid model across providers, compare costs, list filtered models, and receive fallback chains and cached routing results without calling any LLM API.

LLM Compliance Comparison - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables coding agents to watch and analyze videos by extracting scene-aware frames, transcribing speech, and generating shot timelines, all constrained by a token budget to fit LLM context limits.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Enables AI assistants across platforms to share memory, recall facts, preferences, and conversation history, creating a unified cognitive system.

Enables AI IDEs to chat with, search, explain, refactor, and audit a local codebase without uploading source code, returning answers backed by file-and-line source citations, confidence scores, and severity labels, plus audit and board-ready strategic reports. Runs locally and standalone as an MCP server compatible with Claude, Cursor, Windsurf, and DeepSeek Harness.

Enables chatting with Google Gemini AI models and custom Gems, supporting text and image generation with automatic cookie synchronization via Chrome extension.

An MCP server that lets multiple agent sessions (e.g., Claude Code, Claude Desktop) on the same machine communicate over shared channels like walkie-talkies, enabling them to exchange messages and coordinate tasks without any central broker.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Optimizes token costs by intelligently delegating low-complexity tasks to local LLMs via LiteLLM, enabling cost-effective development workflows.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables semantic search of shell session history, matching user intents to relevant CLI commands for keyboard-first developer workflows.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.