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Lets LLMs reverse engineer binaries in Ghidra: decompile functions, rename symbols, trace imports, exports and xrefs.
Control and inspect iOS simulators — UI taps, swipes, text input, screenshots, video, and app install/launch.
Bring Azure DevOps context — work items, repos, pipelines, wikis, test plans — to your AI agents.
Secure, structured access to MySQL databases for AI clients — query, sample, and inspect schemas via MCP.
Gmail MCP with auto OAuth: send, search, label and manage email
Control your entire Kubernetes infrastructure through natural language conversations with AI.
AI data quality evaluation server exposing Dingo's rule- and LLM-based checks over MCP.
Official Elastic server: list indices, read mappings, and search with Query DSL.
Secure local filesystem access for MCP clients — read, write, search, and manage files within allowed directories.
Official SonarQube MCP server: bring code quality, security, and coverage analysis from SonarQube Server or Cloud into AI agents.
Auto-generate a secure, LLM-optimized MCP server or REST API for your database in minutes.
Control Android devices with AI through the Model Context Protocol via ADB.
Connect your LLM/MCP client to Binary Ninja for AI-assisted reverse engineering and malware analysis.
Comprehensive Xcode integration for AI assistants: projects, builds, tests, simulators, SPM and CocoaPods.
Terraform MCP server letting AI assistants read, plan, apply, analyze, and manage Terraform infrastructure.
Analyze BloodHound Active Directory attack paths with natural language via 75+ Cypher-backed MCP tools.
Query, explore, and govern Apache Doris databases via MCP — NL2SQL, metadata, and analytics tools.
Claude Code-style coding agent over MCP: read/edit files, run commands, search code, delegate to sub-agents.
Manage multiple SSH servers from Claude Code or OpenAI Codex — execute commands, transfer files, backups, DB ops, health monitoring.
Box's official hosted MCP server for secure, OAuth-gated access to enterprise content in Box.
Natural-language queries to MySQL/PostgreSQL via XiYanSQL text-to-SQL
Extract text, images, and metadata from local or URL PDFs as structured output, dir-confined.
Give Claude access to all 200+ AWS services through the AWS CLI.
Securely execute whitelisted shell commands over MCP, with stdin, argv pipelines, timeouts, and audit logging.
Securely run whitelisted CLI commands within an allowed directory via MCP.
Distill large codebases into AI-friendly context — public APIs, types, and structure, 90-98% smaller.
Kubernetes MCP server: manage cluster resources and Helm releases through MCP tools, with fine-grained write controls.
Get a second opinion in Claude Code: query Codex, Gemini, OpenCode and more, with structured multi-model deliberation.
Operate Alibaba Cloud resources (ECS, VPC, RDS, OSS, CloudMonitor, OOS) from AI assistants via MCP.
Official Jenkins plugin that turns your controller into an MCP server — agents query jobs, trigger builds, read logs.
DigitalOcean's App Platform MCP: deploy apps, tail logs, roll back. Archived — superseded by mcp-digitalocean.
Manage Apache APISIX gateway resources through natural language via the Admin API.
Search NPM, crates.io, NuGet, PyPI, Go registries and GitHub Security Advisories for up-to-date package info.
Universal MCP server that drives your test suite end-to-end: run pytest/Jest/Cypress/Go/Maestro, analyze pages, generate tests, and advise.
AI-powered code review automation: analyzes Git diffs to find bugs, security issues, and quality improvements.
Converts raw HTML into compressed, AI-readable page maps (97% token reduction) so agents can read and act on any web page.
Multi-model AI orchestration MCP server for automated code review, chat, compare, and debate in Claude Code.
Query your Bluesky profile, timeline, posts, likes, and search from your AI assistant.
Query and analyze GreptimeDB observability data (metrics, logs, traces) via SQL, TQL, and RANGE queries.
Secrets management for AI agents via MCP — agents call your APIs without ever seeing the keys.
AI code quality gate that detects hallucinated imports, stale APIs, over-engineering, and security anti-patterns in AI-generated code.