Mcp Server Chatsum

C2Story AI Picture Book Generator C2Story is a professional AI-powered picture book generator. Create beautiful, personalized children's storybooks in minutes with just a simple description — no design skills needed. Features 5 illustration styles, perfect for parents, educators, and creators.

Enrich contacts and companies via email/LinkedIn enrichment and email validation through LeadFuze (API key required).

The Enji AI Marketing Agent gives small business owners instant access to expert marketing guidance and free AI-powered tools. Get answers to marketing questions from Enji's knowledge base, generate customer personas, define your brand voice, and create blog and social media content ideas. Designed for solopreneurs and small business owners who need confident, strategic marketing guidance—not generic AI advice.

Search and filter 146 historic chocolate recipes from 1914 - cakes, candies, mousses, and beverages.

SerpApi MCP Server for Google and other search engine results

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

Hailuo AI Video Generator - Reimagine Video Creation Bring your visions to life and Turn your concepts into engaging videos with Hailuo AI Video Generator - the most advanced AI Video Generator today.

Web content fetching and conversion for efficient LLM usage

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

OSIM MCP Server is a standardized MCP server implementation providing structured security data standards for AI applications.

Read-only database access with schema inspection

MCP server para consultar información geográfica y turística de Colombia. Accede a datos de las 6 regiones naturales, 32 departamentos, ciudades, municipios y atracciones turísticas con coordenadas e imágenes.

Channel management and messaging capabilities

A Serper MCP Server

麦当劳中国 MCP 开放平台 McDonald's China MCP Open Platform https://open.mcd.cn/mcp

Run conjoint experiments and causal research through AI-powered behavioral simulations

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

AI image generation using various models

Injectable MCP server for AI-driven reverse engineering inside processes

A file mover tool that stages and executes file moves safely. Works as both a CLI tool and an MCP server for AI agents. - Session-based workflow: Stage multiple file moves, preview them, then commit all at once - Safety first: Preview changes before executing, validate file paths and conflicts - Dual mode: Works as both a command-line tool (fm) and an MCP server for AI agents - Overwrite control: Explicit opt-in for overwriting existing files - Clear error messages: Actionable guidance when things go wrong

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

An MCP server that provides a tool for sending transactional emails via Mailtrap

Secure file operations with configurable access controls

Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)

MCP Advisor & Installation - Use the right MCP server for your needs