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qualityMCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes.
Last updated -
13
2
TypeScript
MIT License
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Why this server?
Provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes, which could involve connecting data to Qlik.
Why this server?
A Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools, allowing Qlik data to be part of this API interaction.
Why this server?
A proxy service that connects MCP clients to remote MCP servers, allowing users to use server keys from MCP.so to access remote resources without running their own server. It can facilitate connections between different tools and data sources with Qlik.
Why this server?
Plugged.in MCP Server acts as a proxy server that combines multiple MCP servers into a single interface, potentially integrating various data sources for use with Qlik.
Why this server?
A plugin that allows Dify to connect to multiple MCP servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts, which could allow Dify to then connect to Qlik.
Why this server?
FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions, providing a standard approach for data integration including Qlik.
Why this server?
Enables communication and coordination between different LLM agents across multiple systems, allowing specialized agents to collaborate on tasks, share context, and coordinate work through a unified platform. Qlik can be integrated in this kind of framework.
Why this server?
A Model Context Protocol server that provides access to Aiven services (PostgreSQL, Kafka, ClickHouse, Valkey, OpenSearch), enabling LLMs to build full stack solutions by interacting with these services, and so potentially connecting to Qlik.
Why this server?
An integration that enables AI assistants to interact with network data through a standardized protocol, providing AI-ready tools and interfaces for network automation and management, this may help Qlik connect with different tools.
Why this server?
A Model Context Protocol (MCP) server that provides tools to interact with Folderr's API, specifically for managing and communicating with [Folderr](https://www.folderr.com/) Assistants. It has the potential for workflow integrations that may connect with Qlik.