A Model Context Protocol (MCP) server implementation for interacting with the Honeybadger API. This server allows AI agents to fetch and analyze
Honeybadger MCP connects Honeybadger MCP to AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server implementation for interacting with the Honeybadger API. This server allows AI agents to fetch and analyze error data from your Honeybadger projects.
A Model Context Protocol (MCP) server implementation for interacting with the Honeybadger API. This server allows AI agents to fetch and analyze error data from your Honeybadger projects.
This MCP server provides a bridge between AI agents and the Honeybadger error monitoring service. It follows the best practices laid out by Anthropic for building MCP servers, allowing seamless integration with any MCP-compatible client.
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claude mcp add honeybadger --env HONEYBADGER_API_KEY=your-value --env HONEYBADGER_PROJECT_ID=your-value -- docker run -i --rm honeybadger/mcp| Variable | Description | Required |
|---|---|---|
| HONEYBADGER_API_KEY | Credential the server authenticates with. | Yes |
| HONEYBADGER_PROJECT_ID | Configuration value read at startup. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
The **MCPShell** is a tool that allows LLMs to safely execute **command-line tools** through the [**Model Context Protocol
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