chat-export-server
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- AlicenseNot gradedqualityBmaintenanceMCP server that turns one authenticated ChatGPT browser page into a bounded MCP server, exposing tools for creating, listing, searching, exporting, sending, editing chats and downloading media via a CDP driver.MIT
- AlicenseNot gradedqualityCmaintenanceA local-first MCP server that lets any MCP agent drive a job-search cockpit: scan for roles, inspect and click/type in your real logged-in Chrome tabs via a built-in extension, capture postings, gate eligibility, pre-fill applications without ever submitting, record and replay browser workflows, and store local memory facts — all over loopback stdio with no API keys or cloud.MIT
- AlicenseNot gradedqualityDmaintenanceSyncs AI conversations from multiple platforms to local Markdown files for your second brain, and provides browser automation tools via MCP for agentic workflows.AGPL 3.0
- FlicenseNot gradedqualityAmaintenanceEnables web-based AI chat clients such as Claude, ChatGPT, and Grok to operate a user's local machine through a single OAuth-gated, whitelist-protected MCP endpoint exposing tools for file editing, shell commands, search, Git, SQLite, browser automation, DevTools, background tasks, localhost service fetching, clipboard, notifications, ports, and Postman control.-
- FlicenseNot gradedqualityBmaintenanceLets any MCP-capable coding agent drive your real, logged-in Chrome through a local MCP server and MV3 extension.5-
- AlicenseBqualityBmaintenanceEnables users to import, synchronize, index, and search their conversations from Gemini, Search AI Mode, AI Studio, NotebookLM, My Activity, and related services through MCP clients. It also fetches individual chats from pasted URLs for continuation or project creation, storing local Markdown transcripts and providing SQLite FTS5 full-text search.6MIT
TDQS
Scored across 27 tools
Descriptions do heavy lifting with explicit 'prefer X over Y' guidance, but four different read paths for a chat (chats_get, chat_outline, chat_read, chat_cache_read) plus chat_cache_sync/append/update_block create genuine boundaries an agent must reason through before every read. The explicit legacy duplicate containers_list == projects_list is a hard naming collision, and chats_create vs chat_ask also overlap.
Nearly all tools follow namespace_action (browsers_*, projects_*, jobs_*, chats_*), which is predictable and readable. Minor deviations: the chat singleton tools (chat_outline, chat_read, chat_ask, chat_cache_*) use a different prefix than the plural chats_* group, and containers_list sits outside the projects_* namespace it belongs to.
Twenty-seven tools across five real sub-domains (browsers, platforms, chats, cache, projects, jobs) is defensible given the scope, but it is above the comfortable range and forces the agent to triage before acting. At least one slot (containers_list) is pure dead weight, and the three browser tools plus six cache tools could be trimmed.
Coverage is unusually thorough: browser lifecycle, provider discovery, chat read/export/create/ask/delete, offline cache CRUD, project CRUD plus chat rehoming, and full async job management with cancel. Gaps are minor: no chats rename/update or metadata patch, no projects rename, and no job retry.