This app demonstrates use of MCP server and client in a local model chat via Ollama that incorporates web search via Serper.
If you already use 🔍 🤖 🌐 Ollama Chat With MCP, the 🔍 🤖 🌐 ollama chat with mcp mcp server is the piece that lets your assistant work with it directly. This app demonstrates use of MCP server and client in a local model chat via Ollama that incorporates web search via Serper.
A powerful, modern UI that integrates local and hosted LLMs with intelligent web search and content extraction, SQL, YouTube transcript analysis, HubSpot actions, Python data analysis, Canva design creation, Figma design inspection, Poe multi-model AI (text, image, video, audio generation) — and a Codex MCP server for safe code scaffolding — all via the Model Context Protocol (MCP). Features include personalized AI assistance through user profiles and conversation context, a Document Knowledge Base for persistent reference material, provider settings, multi‑provider model picking, streaming chat, persistent
Osoba showcases how to extend both local and hosted models through MCP tool use. It combines locally running LLMs via Ollama with intelligent web search and content extraction, SQL querying, YouTube transcript ingestion, HubSpot business actions, Python-based CSV analysis/visualization, Canva design creation and export, Figma file/design inspection and export, Poe multi-model AI for text chat and media generation (image, video, audio) — and a Codex Workspace server for code generation inside an isolated workspace. A multi‑provider layer adds OpenAI, Anthropic, Google, OpenRouter, Groq, and SambaNova.
Because this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
MongoDB — Stores conversation history and user dataLLM — only** (1 tool): Direct LLM generation for reasoning stepsMulti — step workflows combining search, analysis, design, and generationCron — based Scheduling**: Uses standard cron expressions for flexible schedulingCatch — up Execution**: Overdue tasks execute immediately when the system resumesmacOS — Uses pmset to schedule wake eventsLinux — Uses RTC wake (hardware support required)Windows — Uses Task Scheduler with wake timersConfiguration is passed through the environment: SETTINGS_ENCRYPTION_KEY, SERPER_API_KEY, SMART_EXTRACT_MAX_CHARS_PER_URL, CANVA_API_TOKEN, FIGMA_ACCESS_TOKEN. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of search and retrieval servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. 🔍 🤖 🌐 Ollama Chat With MCP's toolset — MongoDB, LLM, Multi and 5 more — is a fair guide to whether it matches your workflow. It is maintained by redbuilding; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| MongoDB | Stores conversation history and user data. |
| LLM | only** (1 tool): Direct LLM generation for reasoning steps |
| Multi | step workflows combining search, analysis, design, and generation |
| Cron | based Scheduling**: Uses standard cron expressions for flexible scheduling |
| Catch | up Execution**: Overdue tasks execute immediately when the system resumes |
| macOS | Uses pmset to schedule wake events |
| Linux | Uses RTC wake (hardware support required) |
| Windows | Uses Task Scheduler with wake timers |
{
"mcpServers": {
"ollama-chat-with": {
"command": "uvx",
"args": ["cryptography"],
"env": {
"SETTINGS_ENCRYPTION_KEY": "your-value",
"SERPER_API_KEY": "your-value",
"SMART_EXTRACT_MAX_CHARS_PER_URL": "your-value",
"CANVA_API_TOKEN": "your-value",
"FIGMA_ACCESS_TOKEN": "your-value"
}
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
| Variable | Description | Required |
|---|---|---|
| SETTINGS_ENCRYPTION_KEY | Credential the server authenticates with. | Yes |
| SERPER_API_KEY | Credential the server authenticates with. | Yes |
| SMART_EXTRACT_MAX_CHARS_PER_URL | Endpoint or connection string the server talks to. | Yes |
| CANVA_API_TOKEN | Credential the server authenticates with. | Yes |
| FIGMA_ACCESS_TOKEN | Credential the server authenticates with. | Yes |
The simplest web tool that matters — fetch any URL and get model-ready markdown back.
Industrial-strength web extraction — render, scrape, crawl and search entire sites into clean markdown.
Puppeteer-powered browser control that drives pages from the accessibility tree instead of pixels.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Put 6,000+ pre-built scrapers at your assistant's fingertips through one MCP endpoint.