Coding agents become much more useful when they can access the tools behind your project. Your repository tells part of the story. Your designs, database, issue tracker, browser, and production errors supply the rest. And when you need an illustration, video, music track, or voiceover, a creative generation tool can become part of the same workflow.
Model Context Protocol — MCP — connects those services to your assistant. Claude Code, Codex, and Grok Build support MCP connections. Setup and authentication differ between clients, so use each provider’s current instructions.
Here are ten MCP services worth considering when building websites, apps, games, and software products. This is a practical selection by use case, rather than a benchmark ranking.
1. Generor — a multi-tool for images, video, music, and audio
Generor is a general-purpose creative AI multi-tool. Its main uses include image generation, video generation, music, sound effects, and text-to-speech, alongside text and other content tools. Through MCP, those capabilities become available to a compatible assistant from one connection.
Use it to create a website illustration, a promotional video, background music, game sound effects, or narration. It is equally useful for everyday creative work: making content for a presentation, producing a voiceover, or exploring a visual idea does not require a software project.
Your agent can discover generators and models, estimate costs, generate content, check your credit balance, and retrieve your creations.
“Find suitable generators for a futuristic city illustration, an ambient music track, and a short narrated introduction. Show me the estimated costs before generating.”
Connect through https://generor.com/mcp/, including the trailing slash, using a Generor API key in the Authorization header. Generation uses your Alexiuz credit balance; the current connection uses API-key authentication rather than browser OAuth. See the Generor MCP documentation for setup.
2. GitHub — connect code to issues, pull requests, and CI
GitHub’s official MCP server lets an agent inspect repositories, work with issues and pull requests, and investigate GitHub Actions workflows. It is useful when the task starts in a bug report, review discussion, or failed build rather than in your local files. GitHub MCP documentation.
“Read this issue and its comments, investigate the relevant code, and propose a fix with a regression test.”
Use it when you need repository context and collaboration tools in the same coding session.
3. Context7 — check library documentation while coding
Context7 retrieves library documentation and examples for coding agents. Its tools resolve a library name and query the relevant documentation, helping your assistant check the APIs it intends to use. Context7 documentation.
“Check the version installed in this project, then use Context7 to look up the authentication APIs before implementing the login flow.”
It is particularly useful with unfamiliar frameworks and dependency upgrades. Always identify your installed version so the agent can look for matching documentation.
4. Playwright — investigate the app in a browser
Playwright MCP provides browser automation and structured accessibility snapshots. It gives your agent a way to inspect and interact with the interface after writing the code. Playwright MCP documentation.
“Open the local app, complete registration using test details, and investigate any validation or navigation problems.”
Use it for exploratory checks of forms, navigation, and user journeys. When a check should run regularly, ask the agent to turn its findings into ordinary automated tests in your project.
5. Figma — implement the actual design
Figma’s MCP server provides design context to coding agents, including information from selected frames. It also supports writing native Figma content through supported workflows. For implementation, the benefit is giving your agent access to the design itself. Figma MCP documentation.
“Implement this Figma frame using our existing components, preserving its spacing, typography, and layout.”
It is a strong fit when Figma is the source of truth for your product’s interface.
6. Supabase — understand and develop your backend
Supabase’s MCP server connects agents to backend tools, including database queries and migrations. Connections can be scoped to a particular project and configured for read-only access. Supabase MCP documentation.
“Inspect the development database and propose a migration for saved projects, including the access rules.”
It is useful when your agent needs to understand the current schema before building a feature. Keep schema inspection and migration execution as distinct steps.
7. Cloudflare — connect development to infrastructure
Cloudflare offers several MCP servers covering documentation, Workers bindings, builds, and observability. Choose the server that matches the part of your infrastructure you are working on. Cloudflare MCP documentation.
“Inspect this failed Workers build, explain the error, and propose the smallest code or configuration change that fixes it.”
These connections are useful when a feature depends on Cloudflare services or a problem only appears during a build or deployment.
8. Sentry — investigate errors with production context
Sentry’s MCP server supports searching errors, analyzing performance, and triaging issues. A connection can be scoped to an organization or a specific project. Sentry MCP documentation.
“Investigate this Sentry issue, trace the failing path in our repository, and propose a fix with a regression test.”
It is particularly useful after launch, when you need to connect a reported error to the code responsible for it.
9. Linear — bring requirements into the coding session
Linear’s MCP server lets compatible agents find, create, and update issues, projects, and comments. It supports both read-write and read-only connections. Linear MCP documentation.
“Read this issue and its discussion, identify the acceptance criteria, and explain what needs to change before editing code.”
Use it when important requirements and decisions live in your team’s ticket discussions rather than in the repository.
10. Firecrawl — bring web research into the build
Firecrawl’s MCP integration provides search, scraping, and parsing tools. It can help an agent gather reference material while researching an integration or planning a feature. Firecrawl MCP documentation.
“Find the provider’s official integration documentation, extract the relevant requirements, and link the sources in the implementation plan.”
For technical decisions, direct the research toward official documentation and keep the source links alongside the findings.
Which MCP services should you connect first?
Choose the connections around the work you actually do. You do not need every server in this list for every project.
- Creative content and game assets: Generor for images, video, music, sound effects, and speech.
- Building a new website: Context7, Figma, Generor, and Playwright.
- Developing a backend: GitHub, Context7, and Supabase.
- Maintaining a live product: GitHub, Sentry, and the MCP tools for your infrastructure.
- Working from a team backlog: Linear alongside your development tools.
A workflow might start with requirements from Linear, design context from Figma, and documentation from Context7. Generor supplies creative assets, Playwright helps check the experience, and Sentry supports investigation after launch.
Give your agent a concrete outcome, connect the services that help it reach that outcome, and include verification in the request. To start with creative generation, explore Generor and its MCP integration.
