@bouroo/ollama-cloud-mcp

An MCP server that exposes Ollama's web search and web fetch capabilities as two tools — web_search and web_fetch — over stdio.

Contents

• Features

• Requirements

• Installation

• Usage

• API

  • web_search

  • web_fetch

• Configuration

• Behaviour notes

• Project structure

• Development

• Continuous integration

• Contributing

• License

Related MCP server: Oxylabs Web API MCP Server

Features

• Two tools, one server — web_search for ranked results, web_fetch for a single page's content, over stdio.

• Self-contained bundle — no runtime dependencies, so npx runs it with nothing to install. CI proves it by handshaking against the built file alone in an empty directory.

• Hosted or local — authenticates against https://ollama.com with an API key, or points OLLAMA_HOST at a signed-in local daemon and needs no key at all.

• Errors stay errors — a missing key, a rejected key, rate limiting or a server error is returned as a tool error the model can explain, instead of taking down the server.

• Protocol-clean — stdout carries only the MCP stream; diagnostics go to stderr.

Requirements

• Node.js — the current Active LTS. CI tracks lts/*, and no engines floor is declared, so no version is claimed that CI does not actually test.

• An Ollama API key for the hosted API — free, from https://ollama.com/settings/keys. Alternatively, point OLLAMA_HOST at a signed-in local daemon (see Configuration).

Installation

There is no install step: npx fetches and runs the published package, which ships as a single self-contained bundle with no runtime dependencies.

npx -y @bouroo/ollama-cloud-mcp --help

Usage

Register the server with your MCP client.

Claude Code

claude mcp add ollama-cloud --env OLLAMA_API_KEY=your-key-here -- npx -y @bouroo/ollama-cloud-mcp

Claude Desktop / other clients — add this to claude_desktop_config.json or the equivalent mcpServers block:

{
  "mcpServers": {
    "ollama-cloud": {
      "command": "npx",
      "args": ["-y", "@bouroo/ollama-cloud-mcp"],
      "env": { "OLLAMA_API_KEY": "your-key-here" }
    }
  }
}

Once registered, the client discovers both tools and can call them.

API

web_search

Search the web and return ranked results. Use it for information beyond the model's training cutoff: news, releases, prices, current documentation.

Returns structuredContent.results — an array of { title, url, content } — plus a readable text rendering:

Web search results for "what is ollama?" (2):

[1] Ollama
URL: https://ollama.com/
Cloud models are now available in Ollama...

[2] What is Ollama? Introduction to the AI model management tool
URL: https://www.hostinger.com/tutorials/what-is-ollama
An introduction to running and managing local models...

web_fetch

Fetch a single page and return its content. Use it after web_search to read a promising result in full.

Returns structuredContent — { title, content, links } — plus a readable text rendering:

Fetched ollama.com
Title: Ollama

Cloud models are now available in Ollama...

Links (2):
- http://ollama.com/
- https://github.com/ollama/ollama

Configuration

Pointing OLLAMA_HOST at a local, signed-in Ollama daemon is supported and needs no API key: the daemon handles its own authentication. If OLLAMA_API_KEY is set, it is always sent.

Behaviour notes

• Errors are returned as tool errors, not crashes. A missing key, a rejected key (HTTP 401/403), rate limiting (429) or a server error (5xx) comes back as isError: true with a message naming the cause, so the model can explain it instead of the client losing the server.

• An empty result set is not an error — web_search reports No web results found for "<query>".

• Requests time out after 30 seconds rather than hanging the tool call.

• stdout carries only the MCP protocol stream. All diagnostics go to stderr.

• Ollama's docs suggest a context length of at least ~32,000 tokens when feeding fetched pages to a model; web_fetch returns page content verbatim and does not truncate it.

Project structure

src/
  index.ts                       composition root: CLI entry (stdio, --help, --version)
  domain/                        pure model — types, constants, pure rules
    errors.ts                    OllamaWebError and the missing-key message
    config.ts                    OllamaConfig, base-URL normalization and resolution
    web.ts                       response types, URL and max-results normalization
  interfaces/OllamaWebPort.ts    the outbound contract the use cases depend on
  usecases/                      application logic
    searchWeb.ts                 validate, clamp, call the port, parse the response
    fetchPage.ts                 normalize the url, call the port, parse the response
    parseResponses.ts            shape raw payloads into the response types
  adapters/                      implementations that touch the outside world
    OllamaWebClient.ts           fetch transport: auth, timeout, status mapping
    McpServer.ts                 tool registration, schemas, text formatting
test/
  domain/config.test.ts          config resolution and base-URL normalization
  domain/web.test.ts             target-URL and max-results normalization
  usecases/webOperations.test.ts the use cases driven through a stub port
  adapters/OllamaWebClient.test.ts  transport, auth and error mapping
  adapters/McpServer.test.ts     in-memory MCP protocol tests
  helpers.ts                     shared fakes
scripts/smoke.mjs                end-to-end stdio smoke test

test/ mirrors the src/ layers. The OllamaWebPort seam keeps usecases/ independent of any concrete HTTP client — OllamaWebClient implements it, and the use-case tests exercise it with a stub.

Development

Requires Bun for the toolchain; the published artifact runs on plain Node.

bun install
bun run typecheck   # tsc --noEmit
bun run test        # unit + in-memory MCP protocol tests
bun run build       # bundles src/index.ts -> dist/index.js
bun run smoke       # end-to-end stdio handshake against dist/

# With a key, exercise the live API as well:
OLLAMA_API_KEY=... node scripts/smoke.mjs "what is ollama?"

bun run smoke drives the built server over real stdio: it performs the MCP initialize handshake, lists tools, and calls web_search. Without OLLAMA_API_KEY it asserts the missing-key error path instead, which still proves the request wiring end to end.

Continuous integration

.github/workflows/ci.yml runs on every push to main and every pull request, on the current Active LTS (lts/*):

• type-check, test, build

• drive a full MCP handshake against a copy of the built bundle sitting alone in an empty directory, with no node_modules to fall back on — this is what makes the "zero runtime dependencies" claim tested rather than asserted

• the same handshake against the source build

Contributing

1. Fork the repository.

2. Create a branch: git checkout -b feat/your-feature.

3. Commit your changes following Conventional Commits: git commit -m "feat: add …".

4. Push to the branch: git push origin feat/your-feature.

5. Open a pull request.

Please add tests for any behaviour change and make sure bun run typecheck, bun run test and bun run smoke pass.

License

MIT © Kawin Viriyaprasopsook