Other MCP Servers

AlphaVantage

Integrates AlphaVantage's financial data API as an MCP service, facilitating easier integration with other applications.

Servers

Provides a collection of servers.

Cosense

Serves as an MCP server for cosense, facilitating communication and interaction.

You Are Agent

Emulate an LLM agent capable of autonomously utilizing tools acquired from an MCP server.

Vedit

Enables basic video editing operations through single-sentence commands.

WebPerfect

Optimizes images for the web using AI-powered algorithms to enhance quality and reduce file size.

Jmobile Location

Provides mobile phone number location lookup for large language models.

Servers Collection

Provides a collection of Model Context Protocol (MCP) servers showcasing diverse functionalities and use cases for the MCP ecosystem.

Ai Chat Langchain

Provides a basic implementation of a Model Context Protocol (MCP) server with tools and resources.

Sonarr

Enables programmatic interaction with Sonarr using the Model Context Protocol.

Perplexity

Enables chat completion requests with citations using the Perplexity API within an MCP server environment.

ZT PII Agent

Identifies and categorizes personally identifiable information (PII) within data.

Liangshan

Categorizes software tools into various areas like browser automation, design, and development.

Sabastua

Provides a selection of tools across various software development and management categories.

Web3

Enables interaction with EVM chains through the Model Context Protocol.

Vault

Provides a hobbyist-level MCP server for Vault using Python.

Test Server

Enables Retrieval Augmented Generation (RAG) systems by providing a Python server that leverages OpenAI's vector store capabilities using the Model Context Protocol (MCP).

Server Test

Facilitates testing of MCP Server implementations.

Windows Installation Guide

Provides a comprehensive guide for verifying Model Context Protocol (MCP) server installation on Windows.

Monsoft Protocols

Extends the capabilities of AI assistants by enabling them to perform additional functions and access external resources through Model Context Protocols.