"All MCP servers available on the site" matching MCP servers:

Enables Codex to scaffold small framework-free websites and critique them with sourced, severity-annotated findings that teach better design and development choices.

Enables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.

Exposes 11 agent-native QA tools over stdio so coding agents can discover a project, analyze risk, select the smallest relevant test set, generate and dry-run tests, triage failures, propose tiered heals, analyze flakes, generate quality reports, and evaluate release readiness. Planning and healing tools stay read-only or propose-only, while execution defaults to dry-run, keeping agent actions safe and evidence-backed.

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

Lets AI coding agents read an outline of a large file or a digest of noisy command output instead of the full text, while every hidden line stays retrievable on disk through a run handle. Agents can request only the line ranges, slices, or grep matches they need and list recent runs, cutting token spend without losing information.

Enables agents to audit and safeguard repositories by detecting dependency pinning issues, license compliance problems, hardcoded secrets, and dead code through MCP tools.

An MCP server that lets AI models run code in 31 languages, evaluate symbolic math and logic problems, and measure complexity—exposed as 48 tools for execution, session management, translation, optimization, and more.

Enables coding agents to audit a Next.js codebase read-only, checking routes, Prisma models, environment variables, and locale consistency via MCP tools.

MCP server for automatic Storybook story generation, component analysis, and validation. Auto-detects React frameworks and syncs component documentation.

Enables powerful code search across millions of public GitHub repositories using grep.app API, with capabilities to discover code examples, retrieve specific files, and batch fetch multiple files for learning from open source projects.

Exposes a set of CLI tools (test generation, documentation generation, linting, test running, code search) to AI assistants via MCP, allowing them to perform these tasks through natural language.

Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.

Provides access to Ant Design component library documentation and information for automated code generation. Enables searching components by category or keyword, retrieving component props, examples, API documentation, and available icons.

MCP server that gives Claude Code full control over the CrossPad development workflow — build, test, manage app packages, interact with the simulator, search code across repos — all from natural language.

An MCP server for querying the TheAlgorithms organization across all language repos, enabling search and retrieval of algorithm implementations with in-file examples.

The js hook toolkit that all you need

Enables Claude to perform thorough code reviews by integrating with Codex and Gemini CLIs to provide senior-level feedback on code quality, security, performance, and best practices. Supports reviewing code snippets, individual files, or entire directories with automatic detection of available review tools.

Local MCP server that allows agents to track documentation coverage on the codebases

Provides Claude Code with a repository symbol graph via tree-sitter, enabling instant symbol lookup, file skeletons, call-site analysis, and persistent notes, reducing token usage by reading signatures instead of whole files.

A local MCP server that audits software projects against the UK ICO Age Appropriate Design Code (Children's Code) entirely on the user's machine.

A git-native merge gate. mergelock check compares two branches before they meet and reports the conflicts git itself won't tell you about: a function whose signature changed on one branch while the other branch added calls to the old signature, a symbol deleted on one side but still used on the other, the same function written twice.

A fast, polyglot source code intelligence CLI. Extract symbols, parse imports, trace dependencies, and analyze impact — all from the command line.

ABAPilot by Crimson Consulting connects AI coding assistants to SAP ECC and on-premise S/4HANA through MCP. Use SAP source and dictionary context for ABAP explanation, review and development. Available operations depend on the deployed version and enabled endpoints. The external connector is MIT-licensed; a licensed SAP-side ABAPilot backend is required.

Enables an MCP client to inspect a local Python project directory, reporting its package-manager signals, local Python environment, and available tooling. It also runs Ruff lint and formatting checks and returns the outcomes as structured results, without modifying the project or installing dependencies into it.

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.

FluxGit gives Codex, Claude Code, OpenCode and compatible MCP clients shared Git context through 38 tools: 25 read tools, 12 operation-preview tools and cancellation. Previews submit proposals; approval and execution require a connected FluxGit desktop gateway and a person's decision. Available workflows depend on the client and configuration.

Local-first MCP server that gives AI assistants codebase intelligence—code graph, drift analysis, vulnerability attribution, and version-correct library docs—all from the user's machine.

Deep code indexing for AI agents. Search symbols, navigate call graphs, explore inheritance, track git history — all via MCP.

Provides on-machine security scanning for Copilot-generated code, including SAST, secrets, dependency, container, and configuration checks, plus AI-specific risk detection, with findings and fixes available via MCP tools.

On-prem bridges for the legacy software-engineering toolchain, plus the Evidence Weaver that joins them.