"How to use Canva" matching MCP servers:

An MCP server that edits files through a real Neovim instance, giving agents access to LSP diagnostics, formatting, code actions, and plugin commands.

Translate Python between English and your language, with round-trip verification. Pack-based and reviewed, not model-guessed: translate files both ways, look up how terms render, check identifier names, and report how legible a codebase is in a language, all locally with uvx legesher-mcp.

Enables AI agents to navigate JS/TS, HTML, and CSS code — symbol info, outlines, callers, implementations, definitions, references, hover, and diagnostics — through bundled Node language servers. It also builds a cross-file index answering where CSS custom properties and #id/.class selectors are defined and used across stylesheets, markup, and scripts.

Enables AI agents to formally verify constant-time, masking, and patch completeness properties of Verilog hardware designs, providing concrete leakage signals and next-step guidance.

A lightweight MCP server that provides 40 tools for TypeScript/JavaScript refactoring and code intelligence, directly mapping to TypeScript's tsserver protocol commands for accurate structural changes and workspace analysis.

Enables migration of test automation projects from WebDriverIO to Playwright using AST-based transformations. Provides tools for analyzing tests, converting syntax, refactoring to Page Object Model, and generating migration reports.

Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.

An MCP server that enables AI agents to move TypeScript files and directories while automatically updating all affected imports using a persistent tsserver instance. This ensures atomic, error-free refactoring that maintains project integrity without manual intervention or wasted tokens.

Exposes TypeScript language service tools (completions, go-to-definition, type info, diagnostics) via MCP for use by AI or IDE clients.

Analyzes JavaScript/TypeScript projects for code modernization opportunities, checks browser compatibility via Can I Use, searches MDN documentation, and recommends modern Web API alternatives to reduce bundle size and improve performance.

An MCP server for indexing and querying Unreal Engine C++ codebases using a local SQLite database. It enables users to analyze call graphs, class structures, and Blueprint-exposed symbols through tools integrated with Claude Code.

Automatically collects, summarizes, and documents code from vibe coding sessions, generating multiple document types (README, DESIGN, TUTORIAL, etc.) and publishing them to platforms like Notion, GitHub Wiki, and Obsidian.

Enables Claude Code to use Google Gemini AI capabilities for analyzing PDFs and images, generating and translating text, and reviewing code. Supports both CLI and API backends with different quota limits.

Helps AI read GitHub repository structure and important files. Want to quickly understand what a repo is about? Prompt it with "read https://github.com/adhikasp/mcp-git-ingest and determine how the code technically works".

Enables AI to precisely use local Vue components by extracting their Props, Events, and Slots via AST analysis.

Enables Claude to use Google Gemini as a secondary AI through MCP for large-scale codebase analysis and complex reasoning tasks. Supports both Gemini Flash and Pro models with specialized functions for general queries and comprehensive code analysis.

Enables interaction with SAP ABAP systems via ADT APIs, allowing management of ABAP objects, transport requests, and code analysis through MCP clients.

MCP server for enforcing coding rules in Rust projects via scanning, routing, and explanation tools, designed for use with Codex, CI pipelines, and precommit hooks.

Enables agents and terminals to reverse engineer native binaries, JavaScript/Electron apps, .NET assemblies, and websites, returning findings with supporting evidence and stated limitations. Analysis runs locally, so users can investigate features without source code, explain how they work, and build comparable implementations.

Enables any MCP client to detect Claude Code configuration that is silently ignored, such as agent files that fail to load, unknown frontmatter fields, parent-folder settings, conflicting MCP server entries and drift since a baseline. Exposes read-only tools that return findings with exact edits, the fix prompt, and explanations of each check, without modifying any files.

Enables querying Go module versions, metadata, and go.mod contents by wrapping proxy.golang.org, providing tools for version listing and dependency analysis.

An MCP server that provides agentic code review powered by OpenAI-compatible models, designed for use with Claude Code.

A local .NET MCP server for coding agents, providing persistent semantic indexing, typed-graph DI wiring resolution, reduced context, and compiler-backed verification for .NET projects.

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 coding agents to compile polyglot repositories into architectural mipmap containers and use stateful pre-edit guardrails, fog-of-war resolution gating, blast-radius analysis, and compact Markdown packets to inspect code and prevent unsafe edits.

An MCP server that provides TypeScript 7 native language server capabilities (go to definition, find references, hover types, diagnostics) to coding agents, using the Go-based tsc compiler for fast and accurate semantic analysis.

Enables coding agents to navigate and score brownfield multi-service flows by mapping use-case trees, tracing loadouts and consumers, and detecting drift.

Enables coding agents to query a codebase's git-history coupling graph to find blast radius, missing coupled files, explain why files change together via PRs/issues, and report how much of the graph was inspected.

A standalone MCP server that provides TypeScript type inference and hover information using tsgo, enabling AI agents to get type details, diagnostics, references, and more without needing an editor.

MCP server that performs mutation testing and diff scoping to score how trustworthy tests are for detecting regressions in changed code.

Connects coding agents to local analysis tools that inspect native binaries, JavaScript/Electron apps, .NET assemblies, and websites, returning findings with supporting evidence and stated limitations. This lets an agent explain how an existing feature works without source code and then build an equivalent implementation for the user's own project.

Enables AI assistants to navigate and edit TypeScript/JavaScript source by named declarations, reading symbols, imports, diagnostics, and replacing code via the TypeScript AST.

Enables SDK and MCP clients to perform repository code search and retrieval, inspect current source and related evidence, and optionally use semantic search, reranking, and web sources while keeping the calling agent in control.

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.

Enables MCP clients such as Claude Desktop or Cursor to inspect a coffee-shop sales database schema, validate SQL, and run guarded read-only queries. It supports natural-language questions by exposing tools for schema description, SQL checking, and safe query execution.

Enables AI agents (and a matching CLI) to inspect native binaries, JavaScript/Electron apps, .NET assemblies, Go/Rust/WASM artifacts, EVM bytecode, SQLite databases, recorded crashes, and websites without source code, explaining how features work and returning the evidence and limitations behind each conclusion. Analysis runs locally, using optional Hopper, Ghidra, or IDA providers for native targets.

A local MCP server that improves token efficiency for Cursor's agent by providing cheaper tools like search_code, outline_file, read_snippet, project_map, and handoff, along with rules that steer the agent to use them and reduce excessive context usage.

Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.

Tells you how you and your Claude agent actually work together. Reads CLAUDE.md, hooks, skills, memory + scheduled tasks and writes you a letter. Local-only, no API keys, no data leaves your machine.

Gives coding agents a read-only, token-budgeted code graph spanning every repository in a project: symbols, calls, imports, and cross-repo HTTP, config, and package links, each backed by file:line evidence on both sides. This lets agents trace how symbols connect across repos and determine the impact of an API change by distinguishing links that are actually used from ones that are only declared.