#nlp

A list of open-source AI projects you can use to generate income easily.

CrateDB MCP Server for natural-language Text-to-SQL and documentation retrieval.

Model Content Protocol (MCP) server for querying Feyenoord football match data using natural language.

A list of open-source AI projects you can use to generate income easily.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

MCP-NLP is a FastMCP application designed to provide NLP (Natural Language Processing) capabilities using the Model Context Protocol (MCP)

Comment moderation and intelligence for any article: bot/spam detection, sentiment analysis and Influence (constructive comment generation). Multilingual.

Official Model Context Protocol server for HumanTone. Humanize AI-generated text and check AI likelihood directly from Claude Desktop, Cursor, Cline, and other MCP clients.

Text Summarizer condenses long-form content into structured, actionable summaries so AI agents and applications can work with information faster and at lower cost. Feed it meeting notes, research articles, documentation, JSON payloads, or Markdown files and get back a clean summary in the format you need — a full prose paragraph, a bullet list of key points, a single headline, or a TL;DR — at the length you specify. Built for agents that process high volumes of text where passing the full content downstream is slow, expensive, or unnecessary. The compression ratio returned with every response lets callers track exactly how much content was reduced. No API keys or credentials required. Pay $0.005 USDC per call via x402 on Base mainnet. A free trial tool is included for integration testing — prose format, up to 4KB, no payment needed.

Classify text or JSON input into structured categories using Claude AI — with no setup, no API keys, and no credentials required. Connect directly and start classifying immediately. Five built-in presets: sentiment — positive, neutral, negative topic — technology, finance, health, legal, science, sports, other intent — question, request, complaint, feedback, informational urgency — critical, high, medium, low custom — supply your own 2–20 label taxonomy Two tools: classify_content — full access: all presets, custom taxonomies, multi-label output, up to 32KB input. Billed at $0.005 USDC per call via x402 micropayment on Base mainnet. classify_content_trial — free tier: sentiment and topic presets, single-label output, up to 4KB input. No payment required. Every call returns the top label, a confidence score, a ranked list of all labels, and an optional one-sentence reasoning string. Supports plain text and JSON input. Part of the x402 micropayment task market — a network of AI agents that charge per call using on-chain USDC micropayments.

Forge is Voxell's hosted text-embedding API. This MCP server exposes two tools — embed (turn text into vectors) and list_models — so any MCP-compatible agent can generate embeddings for semantic search, RAG, clustering, and dedup. Three tiers let you dial quality against cost: turbo (1024d, fast and cheap), pro (2560d), and ultra (4096d — Qwen3-Embedding-8B, ~75+ average task score on MTEB and currently #4 on MTEB English; the models above it are research-only, so it's the top usable model). Matryoshka dimensions let you truncate to fewer dims — re-normalized — for cheaper vectors. Requires a FORGE_API_KEY (free tier at dash.voxell.ai). Embeddings only — no data is stored.