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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
MCP_HOSTNoBind host (HTTP transports only)127.0.0.1
MCP_PORTNoBind port (HTTP transports only)8000
OLLAMA_PORTNoPort of the Ollama server11434
OLLAMA_MODELNoOllama model to useqwen3:14b
MCP_TRANSPORTNoTransport mode: stdio, sse, or streamable-httpstdio
OLLAMA_HOST_IPNoOverride the Ollama host IP. If unset, it's read from `ip route show default` (useful when running inside WSL and Ollama runs on the Windows host)

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
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
analyze_pageA

Fetch a web page, and use a local Qwen model to extract/answer question about its full content. Long pages are automatically split into chunks and analyzed piece by piece (map-reduce), so no content is skipped.

Reports progress while working (page fetch retries, per-chunk analysis), so a client that respects MCP progress notifications won't time out waiting on a long page -- this can take 30s-3min or more.

Args: url: The page to fetch and analyze. question: What to extract or answer about the page's content.

search_site_and_analyzeA

Search a specific site for pages/listings containing phrase, then run analyze_page-style extraction on each match to answer question.

Works on any site without site-specific scraping code: it uses DuckDuckGo's site: search to find matches, then trafilatura + Qwen to read and filter each page's content, so it keeps working even if the site's layout changes.

Each match takes roughly 30s-3min to fetch and analyze (more for long pages), so a large max_results will take proportionally long to return. Progress is reported per match and per chunk, for MCP clients that respect it.

Args: site: Domain to search within, e.g. "example.com". phrase: Exact phrase the publication/listing must contain. question: What information to extract from each matching page. max_results: Max number of matching pages to analyze (default 5).

list_available_modelsA

List the Qwen/Ollama models currently available on the local Ollama server.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.1/5.0

Scored across 3 tools

Disambiguation5/5

The two analysis tools are cleanly separated by input: analyze_page targets one explicit URL, while search_site_and_analyze first discovers matching pages on a domain and then analyzes them. list_available_models is clearly a separate utility, so there is no real ambiguity between tools.

Naming Consistency4/5

All names use snake_case and lead with a verb, making the set predictable and readable. The main deviation is that search_site_and_analyze combines two actions into one name, while the other tools use a simpler verb_noun pattern.

Tool Count4/5

Three tools is small but defensible for a focused web-research helper: two research workflows plus a model discovery utility. It is slightly minimal, but there is no obvious bloat or unnecessary duplication.

Completeness3/5

The server covers single-page analysis and site-scoped search, which are useful core pieces. However, it lacks a general web-search flow or multi-site research capability, so open-ended web research requests would have no obvious tool to use.

Maintenance

ActivitySlowing
ResponsivenessNo issues