Is Archive Agent a chatbot?
No. Archive Agent is a file indexer and RAG engine that provides answers through a CLI, GUI, or MCP interface — it does not offer a conversational chatbot interface.
Archive Agent MCP Server
@shredEngineer
Basic information
About Archive Agent MCP Server
Find your files with natural language and ask questions.
Archive Agent MCP Server config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryArchive Agent MCP Server tools
Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Archive Agent?
Archive Agent is an intelligent file indexer that brings RAG (Retrieval Augmented Generation) to your command line. It indexes local documents (PDFs, images, Markdown, plaintext, and more) using automatic OCR, semantic chunking, and a local Qdrant vector database, then lets you search or query those files with natural language. It integrates with AI tools via a built-in MCP server — it is not a chatbot.
How to use Archive Agent?
First, install Docker and Python ≥3.10, then run git clone, cd Archive-Agent, chmod +x install.sh, ./install.sh. The script sets up a Python environment, installs dependencies, and deploys a Qdrant Docker container. After installation, configure an AI provider (OpenAI, OpenRouter, Ollama, or LM Studio) and run archive-agent to use the CLI (track, commit, search, query, GUI) or start the MCP server (archive-agent mcp).
Key features of Archive Agent
- Semantic natural‑language search & query (RAG) on local files
- Automatic OCR for images and PDFs (experimental)
- Local indexing with self‑hosted Qdrant vector database
- Supports OpenAI, OpenRouter (400+ models), Ollama, and LM Studio
- Built‑in MCP server for workflow integration
- Fully resumable parallel processing with AI cache & retry logic
- Smart semantic chunking with context headers and reranking
Use cases of Archive Agent
- Search a personal document archive using natural‑language questions
- Query technical manuals, PDFs, or scanned images without manual browsing
- Integrate document Q&A into an AI assistant or IDE via MCP
- Index and search offline documents using local LLMs (Ollama/LM Studio)
- Automate OCR and entity extraction from scanned images on a schedule
Frequently asked questions
Which AI providers are supported?
OpenAI (or any OpenAI‑compatible API), OpenRouter (access to 400+ models), Ollama, and LM Studio. Local providers (Ollama/LM Studio) offer best privacy; remote APIs often give higher performance.
Can I change the AI provider after creating a profile?
No. The embeddings generated by one provider are incompatible with another. To switch providers, you must create a new profile.
Does Archive Agent require an internet connection?
Not for core indexing and querying if you use a local LLM (Ollama/LM Studio) and the local Qdrant database. However, installation and initial setup (e.g., downloading models) typically require internet.
What file types are processed?
Archive Agent natively ingests PDFs, images (with automatic OCR), Markdown, plaintext, and several other formats. Files are selected for tracking using pattern‑based inclusion/exclusion rules.
More AI & Agents MCP servers
Tokenaissance
RainTokenaissance is a online Personal Agent for Quant and Research investment available at https://tokenaissance.com.
DatePhotos.AI
Jacob YangFree MCP server for dating profiles. Look up the official photo rules and AI-photo policies of Tinder, Hinge and Bumble — photo limits, verification, what gets you banned — each quoted from the app's own guidelines wi
Rokha
Rokha AI LLCSearch a registry of agent skills and MCP servers, run them for real (sandbox or remote MCP, no install, a trace on every run), and hire proven agents for USDC.
Plainpaper
PlainpaperThe AI marketing canvas for Claude and MCP agents. Your agent drafts campaigns as cards on a shared board, briefed by your brand rules, approved by you.
xhostd
xhostdAgent-first hosting. From Claude, Cursor, or Codex, your agent can create an app, push code, and deploy it to a live HTTPS URL, with managed Postgres, custom domains, environment variables, backups, and rollback.
Comments