"Awesome Lists" matching MCP servers:

Enables analysis of GitHub Pull Requests, including details, diff, file lists, and review tracking.

Gives Goose/Cursor access to your iOS/macOS project index through the Model Control Protocol (MCP) and IndexStoreDB. This provides exhaustive lists of function call sites to help your agent with refactoring and code navigation.

MCP server bridging tool calls to Neovim editor actions via RPC. Enables AI agents to open files, run Lua, manage quickfix lists, fetch diagnostics, and send notifications.

Provides tools for Python code navigation, analysis, and refactoring, including finding definitions, references, and symbol lists. It enables automated tasks such as renaming symbols and organizing imports to enhance AI-driven development.

Scores MCP tool definitions and tool lists from 0-100, flagging vague descriptions, missing parameter docs, non-verb-first naming, oversized enums, and nested schemas with severity, rationale, and concrete fixes. It also validates marketplace listings against platform character caps such as MCPize's 500-character short-description limit before deploy.

Enables AI coding agents to quickly find relevant code, focus reads on important parts of large files, and pick relevant items from long lists, reducing token usage and search time.

Enables agents to review Python dependency requirements and source code against a modernization catalog, returning structured guidance, import-level suggestions, and compatibility floors. It also lists available codemod recipes and previews their transformations as unified diffs, all read-only and without installing packages or executing supplied code.

MCP server for exploring a software developer's portfolio: lists projects, semantically searches code, explains architecture, summarizes READMEs, and answers questions through a natural-language agent, with a built-in web playground.

Enables AI coding agents to submit work for external review before declaring a task done, receiving evidence-backed fix lists and verdicts based on git-measured changes and calibrated quality scoring.

AI-powered code review server that analyzes git diffs and PRs with context from project guidelines and task lists. Supports integration with Claude Code and Cursor via MCP.

Offline, read-only MCP server that predicts which custom Wazuh rules wazuh-analysisd will ignore at load (missing or later-loaded if_sid, if_group, duplicates, static fields) — calibrated 15/15 against Wazuh 4.14.7. Also lists Wazuh 5.0 migration blockers.

Enables AI agents to check email HTML for delivery-breaking problems before sending, returning structured diagnostics with rule id, severity, line and column, along with a tool that lists every available rule. It runs with no filesystem, network or environment access, so agents can validate markup without gaining new permissions.