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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
CREW_SCOUTNoQuick override for the scout role worker chain (e.g., 'local,chatgpt').
CREW_NUM_CTXNoQuick override for the number of context tokens (e.g., 16384).
CREW_REVIEWERNoQuick override for the reviewer role worker chain (e.g., 'chatgpt').
CREW_WORKSPACENoSet the workspace directory for the server to use instead of the launch directory.
CREW_OLLAMA_URLNoQuick override for the Ollama server URL (e.g., http://localhost:11434).
CREW_OLLAMA_MODELNoQuick override for the Ollama model to use (e.g., a model name).

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": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
crew_statusA

Show crew configuration, the workspace it will read, and which workers (local GPU, ChatGPT, API) are available. Run this first if another crew tool errors.

crew_reconA

Send a scout (local GPU first, ChatGPT as fallback) to map the code relevant to a question: files, functions, coverage of each stage, and evidence-backed risks. Use it before reading lots of files yourself, to save your context. Results are leads to confirm, not proof.

crew_review_diffA

Have a scout review the current working-tree changes (staged, unstaged and new files) for bugs, security, concurrency and data-integrity problems. Findings are split into evidence-checked (the quoted code really exists) and unverified. Run it after making changes and before saying you're done.

crew_second_opinionA

Ask an independent reviewer (ChatGPT by default) to critique a plan, a design, or the current diff. Use it for risky work: payments, auth, migrations, concurrency. Expect disagreement; weigh it, don't just accept it.

crew_check_citationsA

Deterministically check file:line references in a piece of text against the repository: the file exists, the lines exist, and a backticked identifier on the same line really appears near those lines. No model involved. Use it on your own analysis before presenting it.

crew_statsA

Show what the crew did: per worker, calls, time, files and characters read, tokens generated, and findings quote-checked vs unverified. ChatGPT calls show calls and time only. Includes a clearly labeled ESTIMATE of context kept out of Claude. Read from a local metadata-only log (no prompts or code).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4/5.0

Scored across 6 tools

Disambiguation4/5

Most tools target clearly distinct actions: status/config, stats/metrics, citation-checking, code recon, second-opinion critique, and diff review. The main overlap is between crew_second_opinion and crew_review_diff, since both critique a diff, though descriptions separate a general design/plan critique from a bug/security-focused diff review.

Naming Consistency4/5

All tools share the crew_ prefix and mostly follow a verb_noun pattern (check_citations, review_diff, second_opinion). A few are bare nouns (stats, status, recon), which is a minor deviation but still readable and predictable.

Tool Count5/5

Six tools is well-scoped for a crew/delegation server. Each tool earns its place across setup, observability, exploration, verification, and review, with no redundancy padding the count.

Completeness4/5

The surface covers the full review workflow: status, stats, recon, second opinion, citation verification, and diff review, giving no obvious dead ends. Configuration is read-only (status) with no way to set up crew/workspace, a minor gap users can work around.

Maintenance

ActivityMaintained
ResponsivenessNo issues