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A portable, user-owned memory for MCP-capable agents in VS Code, enabling cross-agent recall and memory creation.

Provides 54 tools across 10 categories for Wave Accounting, enabling invoicing, customer management, products, transactions, bills, estimates, taxes, businesses, and financial reporting through Wave's GraphQL API.

Integration with Wompi, Bancolombia's Colombian payment gateway, enabling agents to process payments and manage transactions through the Colombian fintech ecosystem. Supports multiple payment methods including cards, PSE, and Nequi, with payment initiation, status checks, and transaction management. Part of the MCP Dev LATAM collection of Latin American business service integrations.

A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.

Enables AI agents to store, search, and recall semantic memories with three memory types (semantic, episodic, procedural) and auto-consolidation, compounding intelligence over time.

This cosense MCP server, forked from funwarioisii's implementation, provides integration between the cosense platform and AI systems using the Model Context Protocol. Built with TypeScript and leveraging the @cosense/std library, it offers a standardized interface for retrieving pages from cosense projects. The server uses environment variables for project name and SID management, enabling both public and private project access. By abstracting cosense functionality into MCP tools, this implementation facilitates use cases such as knowledge base querying, collaborative document analysis, and information retrieval from structured notes. It is designed for easy deployment and debugging, making it valuable for developers building AI-powered tools that interact with cosense data.

MCP server for cleaning messy CSV data via a single clean_csv tool. Uses an agentic workflow with rule-based or LLM planners to transform data safely.

Secrets for coding agents — both seekrit MCP servers plus the skills that keep API keys out of your agent transcript. One install.

MSFS SDK MCP server provides TypeScript-based access to Microsoft Flight Simulator SDK documentation through web scraping and natural language processing. The implementation fetches documentation from docs.flightsimulator.com, supports category-based searching across contents, index, and glossary sections, and includes a natural language service that parses commands like 'Search livery op msfs sdk' into structured tool calls. Built with Cheerio for HTML parsing and Puppeteer for web automation, it's designed for flight simulation developers who need quick access to MSFS SDK documentation without manually browsing the official documentation site, enabling workflows like finding specific API references, code examples, and technical specifications through conversational queries.

Enables AI agents to log, evaluate, and ground consequential decisions against an organization's authority graph, creating a traceable audit trail for governance.

Enables AI agents to segment 2D and 3D biomedical images using Microsoft's MedImageParse foundation models via free-text prompts, returning masks and statistics. Supports both local stdio MCP server and a hosted Azure API Management gateway for remote agents like Microsoft Foundry.

MCP server for Ransomware.live — track ransomware groups, victims, and IoCs, with optional Pro-tier data.

Hosted MCP server providing read-only access to US public company fundamentals, segment breakdowns, peer comparisons, and earnings data sourced directly from SEC filings.

Enables AI assistants to access educational domain tools including grading, cognitive diagnosis, knowledge tracing, learning path recommendations, and sentiment analysis through FastAPI-powered small models.

An MCP server specialized for Go codebases.

It enables LLMs to query enterprise data such as sales orders, stock levels, and vendor information through structured MCP-compliant tools, using localized JSON databases for demonstration.

A Model Context Protocol (MCP) server that provides browser automation capabilities, specifically for capturing console output from web pages.

An MCP server that exposes FFmpeg as structured tools for AI-agent-driven video editing, enabling operations like trimming, subtitling, and transcoding via natural language.

Enables interaction with Atlassian Confluence through MCP, allowing retrieval of pages by ID and searching with CQL queries.

China / Hong Kong / Taiwan news search.