This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Mezmo MCP is a remote Model Context Protocol (MCP) server that lets AI assistants and IDE chat agents interact with the Mezmo observability platform via the Model Context Protocol. Use it for streamlined observability, log analysis, and root-cause analysis in your favorite tools.
Add Mezmo MCP and you can:
🕵️ Run advanced Root-cause analysis over recent logs
📦 List and describe Pipelines
📤 Export and filter Logs with powerful query syntax
Mezmo MCP is a remote MCP server that connects AI assistants and IDE chat to Mezmo so you can run advanced root-cause analysis, discover pipelines, and export logs without hosting anything yourself. It's built for observability use cases and works across many popular MCP clients.
Related MCP server: Log Reader MCP
For the latest documentation — including available tools, installation instructions, client configurations, best practices, and troubleshooting — visit the official docs:
This server cannot be deployed
The Remote MCP server acts as a standardized bridge between LLM applications (like Claude, ChatGPT, and Cursor) and external services, enabling AI agents to access external tools and resources. Its primary capability is providing a centralized search tool to discover other MCP servers and their respective tools. Unlike local implementations, it runs remotely with OAuth authentication and permission controls for security.
The OpenRouter MCP server plugs OpenRouter into the AI tools you already use. Once connected, your assistant can pull live OpenRouter data (models, prices, your credits, rankings, and docs) and send quick test messages, all without leaving your editor.
The Buildkite MCP server exposes Buildkite product data (pipelines, builds, jobs, and test data) to AI tools, editors, and agents through the Model Context Protocol. It provides capabilities including pipeline creation and management, build monitoring with specialized tools like 'wait_for_build', efficient log querying using Apache Parquet conversion and caching, and OAuth-based authentication for both read-write and read-only access to Buildkite's REST API.
Query application logs, traces, and metrics from your AI coding assistant via Foam's MCP server.
