pulsemcp scanned Safe content atomic mcp-remote

Archive Agent

Archive Agent is an open-source semantic file tracker with OCR and AI search capabilities built by Dr.-Ing. Paul Wilhelm using Python, featuring RAG (Retrieval-Augmented Generation) functionality and MCP server integration. The implementation combines Qdrant vector database for semantic search, spaCy for natural language processing, PyMuPDF for PDF handling, Streamlit for web interface, and multiple AI provider support (OpenAI, Ollama, LM Studio) to enable intelligent document indexing, OCR processing of images and PDFs, and natural language querying of file contents. Designed for users who need to search and analyze large document collections using AI-powered semantic understanding, with features like watchlist monitoring, profile management, caching, and both CLI and GUI interfaces for flexible document management workflows.

Cognium trust score

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/shredengineer/archive-agent
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

View source Find related skills

MCP

Resolve Archive Agent from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"