"Compiler Explorer" matching MCP servers:

A bounded MCP server for C++ analysis through Compiler Explorer, providing compiler discovery, compilation, assembly comparison, analyzers, and shortlink sharing.

Analyzes Python project structure by exploring directory trees, extracting outlines from Python and Markdown files, and inspecting OpenAPI specifications.

Compile, validate, and explore TON smart contracts using the Tolk compiler from any MCP-compatible AI assistant.

Enables Claude to explore and analyze remote Git repositories, providing structured file contents and token estimates.

Enables private web search and webpage content extraction using a local SearxNG instance, prioritizing user privacy and autonomy.

Enables QA to interactively inspect DOM elements in a visible browser, generate resilient Robot Framework locators and Page Objects, and validate selectors via natural language.

A Model Context Protocol (MCP) server that exposes tools for exploring and querying SQLite and PostgreSQL databases. It allows Large Language Models (LLMs) to inspect table structures, perform statistical profiling, generate entity-relationship diagrams, and execute queries safely.

Enables querying and invoking BlazeMeter's public API v4 explorer operations, including vault settings, session management, and static asset routes.

Enables AI assistants to query SQLite databases using plain language, with strict read-only enforcement and column-level access control to prevent damage or unauthorized data reads.

Enables AI assistants to query Azure Data Explorer using natural language, eliminating the need to write KQL.

AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.

Enables AI assistants to connect to and interact with PostgreSQL, MySQL, SQLite, and MongoDB databases through natural language, supporting schema exploration, query execution, data export, and more.

A FastMCP server that enables safe, read-only exploration and querying of relational databases (SQLite, PostgreSQL, MySQL) through natural language, with tools for schema inspection, query execution, plan explanation, and migration validation.

Provides on-demand access to AOSP and Jetpack source code to help AI understand Android framework internals. It features a hybrid architecture using Tree-sitter and LSP for precise code extraction, cross-file navigation, and local source indexing.

Compiles web sources into structured, backlinked wiki pages in an Obsidian-compatible vault and enables querying the knowledge base via MCP.

A demo MCP server for exploring Massachusetts town data (housing, schools, crime, distance to Boston) via tools and resources, designed to teach MCP architecture with dual-host setup.

Enables AI clients to explore and analyze CSV datasets via tools for dataset overview, statistical summaries, missing value analysis, duplicate detection, correlation analysis, and outlier detection.

Read-only repository context explorer for coding agents. Provides repository exploration tools via CLI or MCP adapter.

Provides deterministic Python codebase symbol exploration using AST parsing, with tools for definition lookup, signatures, references, call chains, and class hierarchy queries.

A demonstration MCP server for exploring MCP prompts with 10 reusable development prompts.