Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.

Rust MCP server and CLI for yt-dlp search, downloads, metadata, transfers, and Plex playlists.

SettleMesh CLI + MCP server: deploy an agent-built app to a live URL with login, a managed database, usage-based billing, and end-user-pays — plus metered web search, LLMs, image/video, and a service catalog, all on one key.

yt-dlp search, download, metadata, delivery, and Plex workflows over MCP and CLI.

Connect your AI agent to the world — Web search, Social media, Crypto & On-chain data. One plugin, zero extra config.

Page-cited retrieval for embedded docs, datasheets, MISRA, CMSIS, and RTOS references.

Always-current official Claude docs inside Claude Code. A 3 MB metadata plugin: live on-demand fetching from Anthropic's servers, zero content redistributed. Auto-discovery skill, instant search, interactive HTML courses, and doc changelog reports.

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

Enables host assistants to discover and read the toolkit’s research methods over a local stdio MCP connection, supporting research planning, literature work, scientific reasoning, writing, figures, and academic document workflows. It does not itself search scholarly databases, generate research results, compile documents, or call models.

Mounts a headless, low-memory browser for agents with a text-first tool interface, enabling navigation, semantic tree/markdown extraction, structured-data scraping, screenshots, form interaction, and session capture. Reads and interactions are returned as semantic trees, markdown, or CSS-selector JSON rather than pixels, which is cheaper for a model to reason over.

Enables Claude, Cursor, ChatGPT, and other MCP clients to search, add to, and browse a local personal knowledge base built from notes, docs, and PDFs, with cited results and no data leaving the machine.

Enables agents and humans to fetch YouTube transcripts, search within them, inspect video metadata, and monitor channel uploads through bounded, resumable MCP tools.

Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulation.

Read-only MCP tools for querying USDA FAS Global Agricultural Trade System census export and import records by partner country, year, month and HS10 code prefix, plus the release-date lists for each flow. Results are capped with notes on omitted rows, and responses carry release vintages and retrieval metadata.

Exposes four read-only tools over extracted Hacker News "Who is hiring?" job posts — postings_search, posting_get, skills_top, and skills_trend — so an MCP client or agent can search postings, look up individual posts, rank top skills, or chart skill trends over time. Tools return only structured extracted fields and HN links (never raw post text) from a read-only SQLite database, including salary sorting and a hard row limit to keep queries cheap.

Enables discovery of official DHS country, survey, and indicator metadata; retrieval of public aggregate estimates; assessment of comparison risks; and export of auditable CSV, JSON, Excel, or executable notebook bundles.

The official command line for Praxis (知行云): models, agents, sandboxes, search and data from one terminal.