The page clearly describes a real AI-adjacent developer tool with a specific job: debugging MCP traffic between an AI client and MCP servers. The README shows concrete features, quick start instructions, install options, and usage examples, giving enough evidence for a useful public listing.
The snapshot does not show release cadence, screenshots, or how well it handles different MCP client/server setups in practice, so visitors cannot tell its maturity beyond the README and repo stats.
Last evaluated 69 days ago. Current rank #69. Down 2 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
