codepet-mcp-server
Related Servers
Alternatives to codepet-mcp-server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceMCP server that captures and exposes usage, cost, productivity, and activity metrics for local-first software engineering teams, including LLM token usage, cloud cost savings, and developer activity tracking.-
- AlicenseNot gradedqualityAmaintenanceMCP server that captures and resumes coding context, saving snapshots of branch, open files, diff, and the user's hypothesis, with searchable journal and gap-filling exploration.1MIT
- AlicenseNot gradedqualityBmaintenanceMCP server that provides coding agents with structured repository context, including graph-based navigation, dependency analysis, runtime flow tracing, and configuration surface across supported stacks.27 npmMIT

Vibgrate AI Contextofficial
AlicenseNot gradedqualityBmaintenanceLocal-first MCP server that gives AI assistants codebase intelligence—code graph, drift analysis, vulnerability attribution, and version-correct library docs—all from the user's machine.1,491 npm3Apache 2.0- AlicenseBqualityDmaintenanceLocal MCP server providing project cognition capabilities for AI coding agents, including context packs, impact analysis, and git diff review through stdio communication.103MIT
- AlicenseNot gradedqualityBmaintenanceA local-first MCP server that lets AI assistants search and retrieve context from indexed projects, Git state, decisions, and tasks without sending data to the cloud.MIT
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose: auto-fixing errors, generating summaries, running diagnostics, reading files, getting git context, learning progress, project scanning, and watching diagnostics. No overlap or ambiguity.
All tool names use consistent snake_case with a verb_noun pattern (e.g., auto_fix, get_diagnostics, scan_project). No mixed conventions or vague names.
8 tools is well-scoped for a coding assistant with pet features. Each tool serves a specific function without redundancy, covering diagnostics, file access, git, learning, and automation.
The tool set covers core functionalities: diagnostics, file reading, git context, learning progress, project scanning, and auto-fix. Minor gaps like user interaction or manual notes, but overall sufficient for the domain.