"Statistics of China's Population" matching MCP servers:

Enables AI agents to perform Ghidra binary diffing, returning structured match statistics, function changes, and code diffs as JSON.

Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.

Enables AI agents to explore, analyze, and search file systems, with tools for directory trees, file statistics, duplicate detection, code counting, and multi-criteria file search.

Provides comprehensive Git repository insights including author statistics, branch health, and code churn analysis. It enables users to perform data-driven assessments of their codebase and track development patterns through the Model Context Protocol.

Enables LLM agents to parse, validate, and solve MiniZinc constraint models directly from chat sessions, returning solutions and solver statistics.

Enables source-first orchestration and knowledge indexing with inspectable architectural capabilities through a unified MCP interface, including named-attribute retrieval and atomic knowledge ingestion.

Static codebase analysis as MCP tools — give AI coding agents a map of your repo instead of letting them burn half their tokens rediscovering it file by file.

Exposes your organization's Terraform style guide to AI coding agents, enabling them to generate, validate, and ensure Infrastructure as Code follows your specific conventions, naming standards, security defaults, and best practices.

Enables AI agents to compare two texts line-by-line and receive a structured diff with additions, deletions, unchanged lines, and summary statistics, paid per call via x402 micropayments.

Serves an AI coding agent a searchable index of a codebase's existing capabilities and past incidents, so it can find and reuse what already exists before writing new code. Also exposes blast-radius analysis for shared code and lets the agent reindex the knowledge base, all via local retrieval with no model calls or API keys.

Enables querying a Lean 4 proof corpus registry using tools for full-text/hash search, declaration lookup, dependency closure, similarity, and corpus statistics.

Enables AI agents to query Salesforce DX projects through MCP with compressed component specs, full-text search, dependency relations, annotations, and an interactive architecture map, drastically reducing token usage.

Enables validation, diff generation, and backend population for Synesthetic assets using schema-compliant resources and tools. Serves as an MCP adapter that enforces schema compliance and integrates with the Synesthetic asset generation pipeline.

An MCP server that wraps gitingest to enable Claude Code to analyze GitHub repositories, providing access to code structures, statistics, and full content. It facilitates the creation of structured study notes and supports both public and private repositories through the Model Context Protocol.

Enables Claude AI to analyze Power BI Desktop models with comprehensive capabilities including DAX analysis, performance monitoring with Storage Engine/Formula Engine breakdown, VertiPaq statistics, and natural language querying of model structure and data.

Provides AI assistants with progressive code intelligence to explore repository structure, find symbols, and assess the impact of changes using ast-grep.

Connects AI assistants like Claude to PHP's XDebug debugger for runtime inspection, breakpoint control, and variable tracking, enabling natural language debugging of PHP applications.

coldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after real tasks — what a file is for, how a flow spans files, which invariants hold — and those notes are surfaced automatically to a later session whose task matches, so nothing gets rediscovered from scratch. Every note is anchored to real files by content

Signalint is an MCP server that provides JavaScript and TypeScript diagnostics by running Oxlint, TypeScript, and optionally Biome, with caching, clustering of repeated issues, and detection of oscillating diagnostics.

Enables Android APK reverse engineering and Flutter runtime injection through a six-step pipeline of decompile, analyze, synthesize, inject, patch, and repackage. Provides MCP tools for authorized security research and penetration testing.