Gemforge (Gemini Tools) MCP

Web content fetching and conversion for efficient LLM usage

Secure file operations with configurable access controls

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

Web and local search using Brave's Search API

A Serper MCP Server

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

Playwright MCP server

Project description 🧠 RABEL MCP Server Recidive Active Brain Environment Layer Local-first AI memory with semantic search, graph relations, and soft pipelines. Mem0 inspired, HumoticaOS evolved. By Jasper & Root AI from HumoticaOS 💙 🚀 Quick Start # Install pip install mcp-server-rabel # For full features (vector search) pip install mcp-server-rabel[full] # Add to Claude CLI claude mcp add rabel -- python -m mcp_server_rabel # Verify claude mcp list # rabel: ✓ Connected 🤔 What is RABEL? RABEL gives AI assistants persistent memory that works 100% locally. Before RABEL: AI: "Who is Storm?" → "I don't know, you haven't told me" After RABEL: You: "Remember: Storm is Jasper's 7-year-old son" AI: *saves to RABEL* Later... You: "Who is Storm?" AI: *searches RABEL* → "Storm is Jasper's 7-year-old son!" No cloud. No API keys. No data leaving your machine. 🛠️ Available Tools Tool Description rabel_hello Test if RABEL is working rabel_add_memory Add a memory (fact, experience, knowledge) rabel_search Semantic search through memories rabel_add_relation Add graph relation (A --rel--> B) rabel_get_relations Query the knowledge graph rabel_get_guidance Get soft pipeline hints (EN/NL) rabel_next_step What should I do next? rabel_stats Memory statistics 📖 Examples Adding Memories # Remember facts rabel_add_memory(content="Jasper is the founder of HumoticaOS", scope="user") rabel_add_memory(content="TIBET handles trust and provenance", scope="team") rabel_add_memory(content="Always validate input before processing", scope="agent") Searching Memories # Semantic search - ask questions naturally rabel_search(query="Who founded HumoticaOS?") # → Returns: "Jasper is the founder of HumoticaOS" rabel_search(query="What handles trust?") # → Returns: "TIBET handles trust and provenance" Knowledge Graph # Add relations rabel_add_relation(subject="Jasper", predicate="father_of", object="Storm") rabel_add_relation(subject="TIBET", predicate="part_of", object="HumoticaOS") rabel_add_relation(subject="RABEL", predicate="part_of", object="HumoticaOS") # Query relations rabel_get_relations(subject="Jasper") # → Jasper --father_of--> Storm rabel_get_relations(predicate="part_of") # → TIBET --part_of--> HumoticaOS # → RABEL --part_of--> HumoticaOS Soft Pipelines (Bilingual!) # Get guidance in English rabel_get_guidance(intent="solve_puzzle", lang="en") # → "Puzzle: Read → Analyze → Attempt → Verify → Document" # Get guidance in Dutch rabel_get_guidance(intent="solve_puzzle", lang="nl") # → "Puzzel: Lezen → Analyseren → Proberen → Verifiëren → Documenteren" # What's next? rabel_next_step(intent="solve_puzzle", completed=["read", "analyze"]) # → Suggested next step: "attempt" 🏗️ Architecture ┌─────────────────────────────────────────────────────────────┐ │ RABEL │ │ Recidive Active Brain Environment Layer │ ├─────────────────────────────────────────────────────────────┤ │ │ │ Memory Layer → Semantic facts with embeddings │ │ Graph Layer → Relations between entities │ │ Soft Pipelines → Guidance without enforcement (EN/NL) │ │ │ │ Storage: SQLite + sqlite-vec (optional) │ │ Embeddings: Ollama nomic-embed-text (optional) │ │ │ │ 100% LOCAL - Zero cloud dependencies │ │ │ └─────────────────────────────────────────────────────────────┘ Graceful Degradation RABEL works with minimal dependencies: Feature Without extras With [full] Text memories ✅ ✅ Text search ✅ (LIKE query) ✅ (semantic) Graph relations ✅ ✅ Soft pipelines ✅ ✅ Vector search ❌ ✅ Embeddings ❌ ✅ (Ollama) 🌍 Philosophy "LOKAAL EERST - het systeem MOET werken zonder internet" (LOCAL FIRST - the system MUST work without internet) RABEL is built on the belief that: Your data stays yours - No cloud, no tracking, no API keys Soft guidance beats hard rules - Pipelines suggest, not enforce Bilingual by default - Dutch & English, more coming Graceful degradation - Works with minimal deps, better with more 🙏 Credits Inspired by: Mem0 - Thank you for the architecture insights! We took their ideas and made them: 100% local-first Bilingual (EN/NL) With soft pipelines With graph relations 🏢 Part of HumoticaOS RABEL is part of a larger ecosystem: Package Purpose Status mcp-server-tibet Trust & Provenance ✅ Available mcp-server-rabel Memory & Knowledge ✅ Available mcp-server-betti Complexity Management 🔜 Coming 📞 Contact HumoticaOS Website: humotica.com GitHub: github.com/jaspertvdm 📜 License MIT License - One love, one fAmIly 💙 Built with love in Den Dolder, Netherlands By Jasper & Root AI - December 2025

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

MCP Server for Mattermost API. Enables Claude and other MCP clients to interact with Mattermost workspaces - list channels, read/post messages, manage threads, reactions, and monitor topics. Supports flexible configuration via CLI args, environment variables, or config files.

Stop writing selectors. Start describing data. UniCrawler ships an MCP (Model Context Protocol) server that exposes UniCrawler’s crawling/parsing/storage capabilities to MCP-capable clients.

The Dacast MCP (Model Context Protocol) Server integrates Dacast’s comprehensive video streaming and hosting platform with your AI-powered applications. Once configured, you can upload and manage video content, control live streams, review analytics, and access nearly all of Dacast’s broadcasting infrastructure through natural-language prompts in supported AI clients.

Location services, directions, and place details

MCP server to provide Figma layout information to AI coding agents like Cursor

一个轻量级的主机信息获取MCP工具，通过MCP（模型上下文协议）接口提供系统信息，基于Spring Boot3+Spring AI+OSHI（操作系统和硬件信息）库构建。

A Model Context Protocol Server connector for Perplexity API, to enable web search without leaving the MCP ecosystem.

GitLab API, enabling project management

summarize chat message

Semantic search through Dickens' classic novella - find passages by meaning, theme, or character, not just keywords.

Goman Live is a localization manager built for developers and content teams. We translate with AI, support the Model Context Protocol (MCP), provide URL-based access to translations, and include built-in context and prompt management for quality and consistency.

Spec Oxide is a comprehensive workflow and toolset that enables spec-driven development for AI-assisted coding with Claude Code. You agree on what to build before any code is written. Spec Oxide ships a CLI and an MCP server to list and manage specifications as Markdown files as well as change proposals. A built-in search functionality finds the relevant spec files to avoid loading too many files into the Claude Code context window.

Goman Live is a localization manager built for developers and content teams. We translate with AI, support the Model Context Protocol (MCP), provide URL-based access to translations, and include built-in context and prompt management for quality and consistency.

Enhanced MCP server for Capacities, the knowledge management app. Features include listing spaces, searching content with full-text and title modes, retrieving complete object content by ID, saving weblinks with metadata and tags, and adding content to daily notes. Fork of the original with updated fastmcp for MCP SDK compatibility and tested Windows support.

Universal wishlist for AI shopping experiences. Save any product URL from any store to a persistent wishlist directly from AI conversations.