"Character Name and Profile Generator" matching MCP servers:

A self-contained Claude Code plugin that profiles a project by running a fixed DAG to emit agent-facing context pages, a human/developer guide, and a queryable vectorstore.

Enables AI agents to profile React applications, detect performance bottlenecks, and automatically apply fixes like memoization and code hoisting.

Architecture diagram with concurrency capacity and bottleneck estimates from any codebase.

MCP server that analyzes codebases with tree-sitter and generates AGENTS.md files for AI agents.

Read-only MCP server for Power BI workspace catalogs and semantic models (TMDL, PBIX, PBIP, Excel). Exposes 8 tools to inspect tables, relationships, RLS, search DAX and Power Query M scripts, trace upstream SQL/source impact, and audit governance health with automatic secret redaction.

Generates comprehensive documentation (architecture overview, dependency graph, API surface, and README) for any codebase locally without external APIs.

An MCP server that analyzes GitHub repositories and automatically generates README.md files. Supports multiple AI providers and offers web, MCP tool, and n8n workflow modes.

MCP server that analyzes OpenAPI/Swagger REST API contracts and generates BDD Gherkin feature files and TypeScript Jest regression test scripts.

Automates frontend integration by mapping messy API JSON responses to Vue or React Design System components, generating Zod schemas for type-safe data transformation with live UI previews in chat.

Enables automatic generation of explicit boilerplate methods (getter/setter/equals/hashCode/toString/constructors) for Java entity classes, replacing Lombok dependencies with visible, reviewable code.

Generates Phaset manifest files by analyzing your repository with Claude's AI, automatically inferring fields from code, configs, and documentation.

Enables local, deterministic review of GitHub and GitLab pull request diffs for secret leaks, OWASP injection issues, WCAG 2.2 AA/EU EAA accessibility gaps, EU AI Act transparency, and database RLS risks, producing risk scores, merge decisions, committable suggestions, and SARIF exports.

Enables LLMs to automatically analyze project structures, detect technologies, and generate comprehensive, professional README documentation files with proper formatting, badges, and sections.

Automatically generates typed React hooks for Next.js projects by crawling API routes, GraphQL queries, and components. Analyzes pages to suggest optimal render modes (SSR/CSR/ISR) and produces documentation with performance guidance.

Enables agents to turn a local code project into Chinese software copyright (R11) application materials: scanning candidate files, estimating page layout, and generating a 60-page source-code PDF plus application form fields, extraction lists, desensitization, and validation reports. Also provides field and environment checks and explains the formatting rules behind each output.

An intelligent MCP server that automatically generates Conventional Commits style commit messages by analyzing git diffs using LLM providers like DeepSeek and Groq. It enables developers to maintain standardized version history through natural language interactions in supported MCP clients.

A Model Context Protocol server that automatically generates structured release notes from Git repository tags, analyzing differences between tags and saving formatted Markdown output to the .iris directory.

Enables AI agents to analyze and diff binaries by driving Ghidra headless or inside its GUI, exposing native reverse-engineering tools such as listing functions and segments, searching strings, decompiling, disassembling, and following cross-references. Ships with a devcontainer and supports local stdio or remote HTTP deployment.

Enables MCP clients to load eight on-demand coding skills and inspect project repositories through bounded, read-only map, search, read, diff, checks, and style tools. It keeps context lean by loading skill bodies only when needed and limiting repository scan and output sizes.

Analyzes C++ source code to automatically generate UML class diagrams in PlantUML format, extracting classes, inheritance relationships, and member visibility from directories or file contents.

Automatically generates typed React hooks for Next.js projects by crawling API routes, GraphQL queries, and components. Analyzes pages to suggest optimal render modes (SSR/CSR/ISR) and produces comprehensive documentation with AI-powered guidance.

Generates customized, production-grade MCP servers for Rocket.Chat by selecting only the specific API endpoints needed for a project to minimize context bloat and token usage. It uses natural language processing to parse official OpenAPI specs and automatically create optimized TypeScript servers with built-in authentication and tests.

Enables AI assistants to analyze Java and Web projects, automatically generate unit tests (JUnit) and end-to-end tests (Selenium), and execute them directly through Maven or NPM commands.

AI code review against your team's own rules from your repository, before the pull request: two tools, review_changes and get_team_rules. Closed-source binary distributed via GitHub Releases; published in the official MCP Registry as dev.reviewgate/reviewgate.

Enables AI agents to search Minecraft obfuscated name mappings (class, method, field) across 38 versions, aiding modding, plugin development, and reflection.

Assigns personality types to functions, rates variable name energy, and suggests aesthetic alternatives for code, providing an unscientific yet entertaining vibe assessment.

Java profiling with AI agent integration. Profile CPU, memory, JDBC, HTTP and more.

locidx

Provides GraphRAG code search to AI agents, combining structural code graph traversal with semantic and keyword retrieval so agents can find relevant code without exact name matches.

AI-powered characterization test generator that reads Python functions or class methods, synthesizes inputs, captures behavior in a sandbox, and emits pytest files to lock legacy code behavior for safe refactoring.

An MCP server that turns your machine or LAN of ollama nodes into a local token generator, enabling coding agents to delegate bounded processing tasks to local models and save cloud credits.

A read-only MCP server that verifies public GitHub commits against static contracts and returns signed receipts, supporting only exact lowercase 40-character commit SHAs.

Serves coding agents static analysis of a FastAPI backend and its TypeScript frontend over MCP, letting them map route dependencies, match frontend API calls to backend handlers, locate React component usage, resolve same-name symbols, and check docs against code.

Enables LLM coding harnesses to profile authorized repositories, select applicable defensive security techniques, and report coverage and plain-language results in markdown or SARIF while keeping scans read-only and authorization-gated.

An MCP server that indexes WordPress hooks, filters, block registrations, and JS API calls to provide AI assistants with a verified source-code database. It enables models to search, validate, and retrieve code context for WordPress and its plugins to eliminate hook-name hallucinations.

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.

Smart documentation generator and intelligent versioning system with full MCP support, enabling AI assistants like Claude and Gemini to manage project snapshots, generate docs, and control versioning via 26 MCP tools.

A production-grade FastAPI-based MCP server for career-oriented tools, currently exposing GitHub integration (profile, repos, pinned, search, rate limits) to LLM clients via the Model Context Protocol.

nativegate is a code generator that produces MCP servers from legacy native codebases: point it at a Fortran deck or C++ header and it generates pybind11/f2py bindings, a Python package, a FastAPI service that exposes the native routines as MCP tools and REST endpoints, tests, Docker/Kubernetes manifests, and a numerical golden-record regression harness. The legacy numerics are never rewritten

Enables AI agents to scan code or text content for hardcoded API keys, passwords, tokens, and private keys, reporting each finding by type, confidence, key name, and position. Secret values are never returned, so credentials can be located and addressed without leaving the machine.