harmonica
MCP server for Harmonica deliberation sessions — create, query, and analyze sessions from any AI agent
How to use
The Harmonica MCP server enables seamless deliberation sessions with AI agents, allowing you to create, query, and analyze these sessions effectively. By leveraging this server, you can enhance collaboration among AI agents, facilitate decision-making processes, and gain insights through structured deliberations.
Once connected to the Harmonica MCP server, you can interact with the system by sending commands to create new deliberation sessions or query existing ones. You can use standardized commands to specify session parameters, retrieve deliberation outcomes, or analyze session data. It's best to formulate queries that focus on session identifiers or specific deliberation topics to get the most relevant results.
How to install
To install the Harmonica MCP server, ensure you have Node.js installed on your machine. You can use either of the following methods:
Option A: Quick start with npx (assuming a package will be made available):
npx -y harmonicabot/harmonica-mcp
Option B: For a global installation, clone the repository and install it:
git clone https://github.com/harmonicabot/harmonica-mcp.git
cd harmonica-mcp
npm install -g
Make sure to navigate into the cloned directory before running the npm install command.
Additional notes
When configuring the Harmonica MCP server, consider setting environment variables to define session timeout limits or logging preferences. A common pitfall is not properly establishing the connection parameters, which can lead to session creation failures. Always refer to the repository for the latest updates and configuration options.
Related MCP Servers
mcp-for-beginners
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
bitbucket
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs
mcp-arr
MCP server for *arr media management suite
crawlbase
Crawlbase MCP Server connects AI agents and LLMs with real-time web data. It powers Claude, Cursor, and Windsurf integrations with battle-tested web scraping, JavaScript rendering, and anti-bot protection enabling structured, live data inside your AI workflows.
dockashell
DockaShell is an MCP server that gives AI agents isolated Docker containers to work in. MCP tools for shell access, file operations, and full audit trail.
bluesky
mcp server for bluesky. featured in offical mcp server repo.