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MCP Local

Simulating Multiple Context Protocol

Enables OSINT research by searching usernames across hundreds of social networks and websites, and analyzing URLs to extract information and find associated usernames using the Maigret tool.

A server-based tool that enables the generation of mathematical animations from natural language prompts by leveraging Manim.

This MCP server provides a tool to generate manual test cases in Markdown or CSV format from documentation files and custom rules. It supports text and PDF inputs and can leverage LLM sampling to automate the creation of detailed test scenarios.

A Model Context Protocol (MCP) server that gives your AI assistant the power to convert Markdown into 14 professional document formats — PDF, DOCX, HTML, LaTeX, CSV, JSON, XML, XLSX, RTF, PNG, and more. Stop copy-pasting. Let the AI do the exporting.

Automatically transforms markdown templates (like GitHub Issue templates) into MCP tools and FastAPI endpoints. Load templates from local files, directories, or URLs to create typed API endpoints with Swagger UI documentation.

An MCP server that provides tools for analyzing, linting, formatting, and generating Markdown content. It enables users to programmatically manage Markdown files through features like table of contents generation, statistics calculation, and JSON-to-table conversion.

Headless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any markdown folder. Features built-in hybrid semantic search, surgical AST editing, template scaffolding, zero-config local embeddings, and workflow tracking.

MCP MCP Demo

Demo of implementation of MCP using Langchain MCP Adapters and Ollama

Helps users discover and install MCP servers from PlayMCP using hybrid search (keyword matching + semantic search) based on their requests, and provides installation guidance.

MCP (MCP) Servers Collection

全面解析Model Context Protocol (mcp) Servers CollectionMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Model Context Protocol (mcp) Servers Collection能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Provides tools for converting Markdown content and files into professional PDF documents with full support for Mermaid diagrams and LaTeX rendering. It allows for high-quality output customization, including paper size, table of contents, and syntax highlighting styles.

Meelion MCP ) connects AI assistants and automated clients to Meelion's structured data: a Brazilian platform for researching, comparing, and tracking investments, focusing on fixed income, indicators (Selic, CDI, IPCA, savings) and exchange rates (dollar, euro, gold, silver, Bitcoin).

A simple note storage system that allows creating, storing, and summarizing notes with customizable detail levels.

Provides AI agents with persistent long-term memory capabilities using semantic search. Enables storing, retrieving, and searching memories through three core tools integrated with Mem0 and vector storage.

A robust server for managing long-term agent memory using Mem0, providing efficient storage and retrieval of agent memories with a lightweight Python-based implementation.

MCP Memory Bank (mcp-memory-bank-6fa32141)

A powerful, production-ready context management system for Large Language Models (LLMs). Built with ChromaDB and modern embedding technologies, it provides persistent, project-specific memory capabilities that enhance your AI's understanding and response quality.

Enables AI assistants to remember user information across conversations using vector search technology. Built on Cloudflare infrastructure with isolated user namespaces for secure, persistent memory storage and retrieval.

A cloud-based vector memory service that provides AI assistants with persistent storage, semantic search, and entity management via the Model Context Protocol. It features multi-tenant isolation and bidirectional synchronization with macOS and Google contacts and calendars.

Enables persistent storage and retrieval of decisions, settings, and operational rules across chat sessions, maintaining context continuity and decision consistency for long-term development projects through structured memory management.