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Glama
yeivily-mcp
by yeib

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
YEIVILY_URLNoWhere the MCP server finds the daemon. Default `http://127.0.0.1:8000`.
YEIVILY_HOSTNoBind address (default `127.0.0.1`).
YEIVILY_PORTNoBind port (default `8000`).
YEIVILY_REGIONNoddgs region (`es-es`, `cl-es`, `us-en`, ...). Default `wt-wt`.
YEIVILY_API_KEYNoRequire `Authorization: Bearer <key>`.
YEIVILY_CACHE_MAXNoCache entries. Default `256`.
YEIVILY_CACHE_TTLNoCache seconds. Default `600`.
YEIVILY_DEEP_TOP_NNoResults enriched with page text when `include_raw_content` or `search_depth=advanced`. Default `3`.
YEIVILY_SAFESEARCHNoSafe search setting: `on`, `moderate`, `off`. Default `moderate`.
YEIVILY_FAKE_ANSWERNoFill `answer` with concatenated snippets (not an LLM answer). Default off.
YEIVILY_ALLOW_PRIVATE_FETCHNoLet `/extract` reach LAN/localhost addresses. Default off.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}

Tools

Functions exposed to the LLM to take actions

NameDescription
web_searchA

Search the web (DuckDuckGo) for current information, documentation, news or anything outside your training data. Returns titles, URLs and snippets. Set deep=true to also get text excerpts from the top pages.

fetch_pageA

Download a single web page and return its readable text. Use it to read a URL found via web_search. Does not execute JavaScript and does not read PDFs.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools cover clearly disjoint steps of a retrieval workflow: web_search discovers URLs and fetch_page reads a known URL. Descriptions even cross-reference each other, making the intended pipeline unambiguous.

Naming Consistency5/5

Both names follow a consistent snake_case verb_noun pattern (web_search, fetch_page). The only nuance is that web_search puts the resource before the verb, but the two names still read as a coherent, predictable pair.

Tool Count4/5

Two tools is minimal but each earns its place in a search-then-read workflow, with no redundancy. It is slightly thin for a standalone server, since filters or pagination would otherwise be separate tools.

Completeness4/5

Search plus fetch covers the core web-retrieval lifecycle with no dead ends for the stated scope. Gaps exist but are documented (no PDF reading, no JavaScript, no date/region filters or result-count control), which agents can work around.

Maintenance

ActivityMaintained
ResponsivenessNo recent community issues