Yeivily

A tiny, keyless, Tavily-style search server and MCP provider for local LLM setups (Ollama, Goose, Aider, LangChain, ...). Search comes from DuckDuckGo through ddgs; everything else is Python standard library.

• yeivily (yeivily.py): local HTTP server with POST /search, POST /extract, POST /search/context, GET|POST /html, GET /health.
• yeivily-mcp (yeivily_mcp.py): MCP server over stdio with two tools, web_search and fetch_page. It talks to the HTTP daemon if it is running (sharing its TTL cache) and otherwise runs the same engine in-process.

No Docker, no SearXNG, no API key, no database.

Why Yeivily? (vs. ddgs api / ddgs mcp / SearXNG proxies)

ddgs itself ships ddgs api (FastAPI) and ddgs mcp, and several SearXNG-based projects expose Tavily-compatible APIs (Sifthound, Trawl, OrioSearch, ...). Yeivily's specific niche is combining all of the following in one tiny package:

1. Tavily-shaped JSON contract (/search, /extract, /search/context) for tools/SDKs that speak Tavily rather than raw ddgs.
2. Zero-Docker, zero-FastAPI footprint: pure Python stdlib + ddgs (~44 MB RAM for the HTTP daemon under load; ~24 MB RAM for the stdio MCP server).
3. Resilient local caching & rate-limit protection: built-in TTL cache, single-flight deduplication for concurrent identical agent queries, concurrency limiting, and explicit 429 Retry-After handling instead of silently returning empty lists on upstream blocks.
4. Dual HTTP + MCP with automatic fallback: MCP clients work whether the background HTTP daemon is running or not.

Quick start

Install with pipx or pip (no clone needed)

pipx install git+https://github.com/yeib/yeivily.git
# or: pip install git+https://github.com/yeib/yeivily.git

yeivily                               # starts HTTP server on http://127.0.0.1:8000

Or run directly from source

pip install -r requirements.txt
python yeivily.py                     # http://127.0.0.1:8000
curl -s localhost:8000/search -H 'Content-Type: application/json' \
     -d '{"query": "ollama latest release", "max_results": 3}'

Use it where Tavily is expected

Works in clients and SDKs that let you override the Tavily base URL (the official SDKs do):

from tavily import TavilyClient
client = TavilyClient(api_key="anything", api_base_url="http://127.0.0.1:8000")
print(client.search("rust async runtimes", max_results=5))
print(client.extract(urls=["https://example.org"]))

If a tool hardcodes https://api.tavily.com, Yeivily cannot help (there is no TLS and no DNS trickery here).

MCP Setup

Claude Desktop / Cursor / Generic mcpServers JSON

If installed via pipx / pip:

{
  "mcpServers": {
    "yeivily": {
      "command": "yeivily-mcp"
    }
  }
}

Or pointing directly to the script (keep yeivily.py next to yeivily_mcp.py so the in-process fallback works):

{
  "mcpServers": {
    "yeivily": {
      "command": "python",
      "args": ["/path/to/yeivily_mcp.py"]
    }
  }
}

Block Goose (~/.config/goose/config.yaml or %APPDATA%\Block\goose\config\config.yaml)

extensions:
  yeivily_search:
    name: yeivily_search
    type: stdio
    cmd: yeivily-mcp
    args: []
    enabled: true
    timeout: 30

Verified Compatibility & Footprint

• Official tavily-python SDK: Verified end-to-end with tavily-python (v0.8.5) executing live TavilyClient(api_key="...", api_base_url="http://127.0.0.1:8000") calls:
  • client.search("Chile capital", max_results=2) -> returns valid structured results.
  • client.extract(urls=["https://example.com"]) -> returns clean extracted page text without SSL or contract errors.
• Goose CLI: Verified on Windows 11 & WSL2 (Ubuntu) with Goose CLI v1.58.0 and local Ollama (gemma4:12b) using yeivily-mcp over stdio (web_search and fetch_page tools).
• Memory Footprint: Measured via process RSS WorkingSet on Python 3.12 (Windows 11 x64) with ddgs loaded under active search and HTTPS page extraction load:
  • ~44 MB RSS for yeivily HTTP daemon.
  • ~24 MB RSS for yeivily-mcp stdio worker.
  • (Compare to ~180-250 MB for FastAPI/Uvicorn-based search wrappers or 500 MB - 1.5 GB for Dockerized SearXNG).

Configuration (environment variables)

Honest differences from Tavily

• score is derived from rank, not relevance. Do not threshold on it.
• answer is null unless you opt into the snippet-concatenation hack (--fake-answer).
• No /crawl, /map, /research; no images; no JavaScript rendering; no PDF extraction.
• Search quality is whatever DuckDuckGo gives you. Upstream rate limits are real: Yeivily caches, de-duplicates concurrent identical queries, limits concurrency and answers 429 + Retry-After instead of pretending there were no results.

Security notes

• Binds to loopback (127.0.0.1) by default; requests with an Origin header (browsers) or a foreign Host header (DNS rebinding) are rejected with 403.
• Page extraction refuses private/loopback/link-local addresses (also after HTTP redirects) to prevent SSRF unless you explicitly opt out via YEIVILY_ALLOW_PRIVATE_FETCH=1.
• If you bind to 0.0.0.0, set YEIVILY_API_KEY.
• Scraping search engines can conflict with their terms of service. Intended for personal/local development use.

Tests & Benchmark

Unit Tests (Offline)

python -m unittest discover -v     # 22 tests; no network and no ddgs required

Concurrency & Saturation Benchmark

python benchmark.py                # 20 concurrent queries (single-flight dedupe + queue)

License & Disclaimer

MIT License. See LICENSE for details.

Disclaimer: Yeivily is an independent open-source project and is not affiliated with, sponsored by, or endorsed by Tavily.