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

Sanitizes Continue.dev session exports and reformats them as readable Obsidian chat Markdown, with MCP tools that return only metadata (paths, counts) for privacy.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Enables AI coding agents to persistently store and retrieve conversation history with hybrid semantic and keyword search, cross-encoder reranking, session filtering, and archiving through MCP tools.

Enables Claude to full-text search, list, and read your exported ChatGPT and Claude conversations from a local conversations.json file, running locally with read-only file access and no network requests. Supports both official export formats with automatic detection.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

Enables agents to inspect configured LLM models and send chat requests to them, with support for parameter overrides, file-based prompts, and output to files.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

Enables AI agents to list, inspect, and export OpenCode AI coding sessions as HTML/JSON archives with secret redaction and token statistics.

Enables semantic search over your Cursor IDE chat history by vectorizing prompts and storing them in LanceDB. Provides a Dockerized API to perform vector similarity searches against your chat history.

Blind multi-model councils with anonymous LLM seats and direct 1:1 chat as a local MCP server. Enables asking one question to get independent answers from multiple model CLIs, then blind scoring and reveal.

Enables searching and browsing of Claude conversation history with hybrid search combining full-text, Spotlight, and optional vector embeddings.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

Provides local-first, cross-session memory for Claude Code, enabling semantic search across past sessions to retrieve procedures, decisions, or answers without exposing secrets.

Exposes a repo's historical engineering memory (decisions, landmines, guardrails) via MCP tools for AI coding agents.

Enables searching through vectorized Cursor IDE chat history via a FastAPI service powered by LanceDB and Ollama.

Enables Claude Code sessions to list projects and sessions and export session transcripts to readable text files, including its own or another project's history.

Local semantic search over Claude Code sessions and shell command history, exposed to Claude Code as an MCP tool. Everything is indexed into one vector space and runs entirely on your machine.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

Enables AI-powered analysis of Rapid7 vulnerability and asset data by exporting via the Bulk Export API and making it queryable through natural language or SQL in MCP-compatible tools.

Read-only MCP bridge for searching and browsing RikkaHub app conversations through its Web API.