"Running queries in Apache Superset" matching MCP servers:

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Enables lookups across Apache Iceberg Javadocs, local source evidence, and Iceberg REST Catalog operations through MCP tools and prompts.

MCP server for ai-scanner that enables AI agents to scan codebases for LLM usage, AI frameworks, and exposed secrets.

On-demand micro-mutation sandbox for AI test verification that maps weaknesses in unit tests by running isolated mutation testing via the Model Context Protocol.

Enables coding agents to answer from what is actually true in the current Terraform working directory: the provider schemas pinned in the lock file, saved plans, redacted state, and local or installed module interfaces. It also reports what a pinned provider upgrade would break, all read-only and without ever running init in the root module.

Enables AI coding agents to preflight SQL, NoSQL, graph, warehouse, and vector queries against real schemas or pasted DDL, estimating cost/risk, suggesting verified rewrites, and explaining plans before execution. It supports 12 database engines and catches costly query patterns without running the query.

Provides real-time TypeScript diagnostics with intelligent caching for AI agents, enabling instant queries instead of running tsc repeatedly.

Provides intelligent semantic code search using local AI embeddings, enabling natural language queries to find relevant code by meaning rather than exact keywords. Indexes codebases in the background with smart project detection and privacy-first local processing.

Enables AI assistants to understand and analyze Spring Boot codebases through static analysis, allowing natural language queries about endpoints, classes, dependencies, and architecture without running the application.

Enables AI agents to format SQL, explain queries in plain English, analyze schemas, build queries from natural language, and generate migrations, all without requiring a database connection.

Enables LLM agents to navigate source code structurally via tree-sitter over MCP, offering outline-based reading, AST pattern search, workspace-scale symbol indexing, call graph analysis, and built-in security audit queries.

Enables smart code search in your editor using natural language queries, building an index of your workspace.

Click an element in your running web app or the iOS Simulator and say what should change; your coding agent gets the comment with the selector, DOM path, computed styles, component chain, source-file hint and a cropped screenshot. Runs locally on 127.0.0.1.

An MCP server for Paradox Clausewitz/Jomini modding (EU5, EU4, Victoria 3, HOI4, CK3, Stellaris) that grounds AI assistants in the game's generated documentation and vanilla script tree, enabling accurate script lookup, parsing, and validation without running the game.

Enables AI agents to read, understand, and interact with Ignition SCADA projects and gateways through the Model Context Protocol. Provides structured access to tags, Perspective views, scripts, UDTs, alarm pipelines, and named queries, plus opt-in live tag reads/writes, script execution, and tag history on a running gateway.

A Model Context Protocol server that provides programmatic APIs for running mutation tests with mutmut, analyzing results, and improving test coverage in Python projects.

Exposes tools that let AI coding agents browse a repo's schema snapshot of tables and columns and validate their SQL against it before running or writing it, so queries referencing invented or stale table and column names get caught and corrected up front. Provides list_tables, describe_table, search_columns, and check_sql over the same snapshot used by the CLI, hook, and CI check.

Enables AI assistants to inspect, refactor, lint, run, and version Power Query (M) queries in Excel workbooks and Power BI projects, with snapshot safety and live evaluation.

High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 159 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.

Enables AI agents to audit web headers and DOM code, API routes, and database queries for vulnerabilities such as XSS, BOLA/IDOR, and SQL/NoSQL injection, returning scored CWE findings. It also automatically synthesizes secure drop-in replacement code with unified git diffs for review.

Enables AI clients to batch-import and headlessly analyze multiple binaries with Ghidra, run parallel cross-sample queries for shared functions and strings, and persist renames, comments, and type changes in a standard Ghidra project.

Lien connects AI coding assistants like Cursor and Claude Code to your codebase through the Model Context Protocol (MCP). Ask questions in natural language, get precise answers from semantic search—all running locally on your machine.

Enables an AI assistant to inspect GDSII layouts and stackup files, validate model scripts without running them, and generate AWS Palace models locally, along with layout previews, gmsh visualisation, S-parameter summaries, and inductor/capacitor value extraction. It works on files in the user's own Python environment and disk, without invoking the Palace solver.

MCP server for retrieving Fict documentation, running compiler/ESLint/TypeScript diagnostics, and generating shareable Playground links.

Enables scanning a single-file Solidity contract before deployment by running Slither, Aderyn, and rug-pull/centralization heuristics in a sandboxed environment, then returning a Deployable / Fix first / Do not deploy verdict with plain-language explanations. Exposes one tool, scan_contract, with a per-caller daily limit.

An MCP server that grounds KQL queries on your actual schema and expertise, helping AI assistants generate validated, accurate queries for Kusto databases.

Transforms TypeScript and JavaScript codebases into a persistent code knowledge graph in SQLite, enabling structural codebase navigation via deterministic graph queries without reading source files.

MCP server providing code review, auto-fix, test running, linting, formatting, and refactor suggestions for Claude Code.

MCP server for fast local code & content search powered by Hawkeye. Enables AI assistants to search indexed codebases & assets with natural language queries.

Enables AI coding agents to query a running editor's language server in real time for diagnostics, hover/signature/definition info, and reference lists, plus workspace-wide symbol renaming and file opening — replacing slow tsc/eslint/build runs. Requires the companion bridge extension, which the server talks to over a per-workspace socket, and is also exposed as a CLI with matching subcommands.