We've built a selection of open source, free tools to get you started. Built for data analysts, marketers, content teams, ops managers, and the engineers who want the kit to read. These are tools we use on a daily basis. They're all free, and if you'd like something a little more personalised, get in touch about our custom development work.
An MCP is a small piece of code that gives your AI assistant hands and eyes: access to tools and data it doesn't have on its own. Things like Search Console, your brand voice, image generation, live job data.
You add one to Claude Desktop with three lines of config and a restart. Once it's there, you ask Claude to use it in plain English. No coding required.
The one I use every day. Grounded current search, image generation, SVG diagrams, video. Calls Google's Gemini from inside Claude so you stop tab-switching between AI tools. Free tier covers normal use; you'll need a Gemini API key from Google AI Studio (two minutes).
In Claude Desktop, go to Settings → Developer → Edit Config. Or open it directly:
~/Library/Application Support/Claude/claude_desktop_config.json %APPDATA%\Claude\claude_desktop_config.json mcpServers.
Get a Gemini API key from Google AI Studio, then paste this block. If mcpServers already exists, add the gemini entry inside it.
{
"mcpServers": {
"gemini": {
"command": "npx",
"args": ["@houtini/gemini-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key-here"
}
}
}
}In a new chat, try one of these:
Or ask it for a diagram: "Generate an SVG diagram showing how an MCP server connects to Claude." Claude calls Gemini, the result renders inline in the chat. The tools list at the bottom of the message box shows what it can do.
On Claude Code, ChatGPT or Cursor instead? The same pattern applies. Find the equivalent mcpServers entry in your client's settings. The npm package and command stay the same.
Offload the heavy reading and bulk analysis to a local LLM, on hardware you own. No quota burn.
Wires a local Qwen Coder Next instance (120k context) into the Claude workflow. Use it for log triage, voice extraction, batch summarisation - anything where the work is bounded and you'd rather not pay per token.
Stop AI-tells leaking into your long-form. Extract a writer's structural rules from their corpus and hold them while drafting.
Analyses writing samples and produces a structured tone-of-voice rule-set the LLM keeps in working memory. The difference between Claude-imitating-the-author and the actual author.
Get grounded results, analyse images, generate diagrams or even videos from inside Claude with our Gemini MCP.
Cross-model handoff from Claude to Google Gemini. Image analysis and generation, deep research with grounding, video generation. Useful when Claude needs an extra pair of eyes or a different model's strength inside the same agent loop.
Search Console intelligence your team can't write themselves. Daily sync, decline detection, period-on-period comparisons.
Wires Google Search Console into the agentic stack with the queries that actually matter - automatic decline detection, growing-query surfacing, period comparisons. Stops the daily 'check rankings' chore.
One query becomes the latent question tree behind it. Plan content that ranks across both Google and the answer engines.
Query fan-out for AI search analysis. Maps the cluster of related questions an LLM might actually answer with - useful for content briefs that need to rank in both classical SERPs and ChatGPT/Perplexity citations.
Audit your site for the new ranking signals: schema completeness, llms.txt presence, citation rate in LLM answers.
Generative-Engine-Optimisation auditing. Walks a site and reports on agent-traversability, structured-data coverage, llms.txt quality, robots.txt allow-lists for the major LLM crawlers, and more.
A crawler that returns the data shape an agent needs, not the data shape a marketing dashboard expects.
Technical-SEO crawl with on-page and structured-data extraction. Output is JSON-Schema clean and built for agent consumption - useful when you want Claude to make crawl-driven recommendations directly.
Resolve named entities - companies, people, products - through Google's Knowledge Graph from inside an agent.
Wraps the Google Knowledge Graph Search API. Useful for entity-rich content briefs and structured-data builds where you need an authoritative entity ID and not just a string.
Live AI-jobs market intelligence in your agent loop. 16k+ enriched roles, structured for Claude to read.
The MCP server behind yubhub.co's job feed. Query trending titles, hiring companies, salary deltas - all returned as structured JSON an agent can reason over. Free public API.
Company fundamentals, statements and ratios from inside an agent. Built for finance and investor-research workflows.
Financial Modeling Prep API surfaced as MCP tools. Useful for finance content, investor briefs, and any agent that needs to reason over real company data instead of training-time approximations.
Send and analyse transactional + marketing email through Brevo, from inside an agent. The agent doesn't just suggest, it acts.
Brevo's email API exposed for agentic use. Useful when an agent needs to action a customer touchpoint - confirmation, invitation, recovery flow - rather than draft one for a human to send later.
If you want to know whether this approach works in production, the answer is in the portfolio. Sites we operate, with real users, real data, and real revenue.
A live jobs feed and job-market intelligence database, built for AI agents. Real-time enrichment, no recycled listings, free public RSS and JSON.
Find the content ideas your competitors missed. Daily monitoring across RSS, YouTube, Reddit and podcasts, cross-referenced into editorial briefs.
Agentic e-commerce for sim-racing hardware. N8N enrichment pipeline, custom WP plugin reading the API, FOV and direct-drive calculators on the same data layer.
Industrial hardware on Shopify Plus B2B with SAP B1. Schema-first product catalogue, lead-gen instrumented from day one.
The kit on this page is what we use ourselves. On a client engagement we install the same patterns, wired to your data, with documentation your team owns afterwards.