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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GITHUB_TOKENNoGitHub personal access token for enhanced code search and metadata.

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
memory.recallC

Search code memory for patterns, solutions, and insights from past sessions

memory.storeC

Save a code pattern, solution, or insight to persistent memory

memory.evolveC

Create an improved version of an existing pattern (links to parent)

memory.relatedB

Find patterns related to a given pattern (by explicit links)

memory.linkC

Create a relationship between two patterns

memory.statsA

Show code memory statistics: size, coverage, top patterns

memory.forgetA

Remove a pattern from memory (cascades to tags, links, embeddings)

code.reachA

Jump to any symbol — returns definition, signature, callers, callees, deps in ONE call. Replaces 5-10 Read/Grep calls.

code.mapC

Get instant project architecture map — modules, dependencies, hot paths, entry point. Understands MVC, layered, microservices patterns automatically.

code.symbolsB

List all exported symbols (functions, classes, types) in a path scope with signatures

code.traceB

Trace a call chain from one function to another. Shows the shortest path through the call graph.

code.understandA

Get compressed understanding of a file or directory — purpose, key exports, data flow, dependencies, complexity hotspots. Replaces reading 10+ files.

github.search_reposC

Search GitHub repositories by query, language, stars, topics

github.search_codeC

Search code across GitHub. Returns file matches with text fragments.

github.repo_overviewC

Get comprehensive repo intelligence: stars, health, CI, topics, license

github.repo_fileC

Get file content from a GitHub repo

github.repo_treeC

Get file tree of a GitHub repo (recursive)

genius.find_bestA

Find the best implementations of a concept across GitHub. Returns ranked archetypes with explanations, not raw search results. Example: genius.find_best('rate limiter', language: 'typescript')

github.compareC

Compare implementations from different repos side-by-side with quality breakdown

import.extractA

Extract a function/module from a GitHub repo with provenance. License-checked, dependency-resolved, style-adapted. Returns ready-to-paste code with attribution.

research.archaeologyB

Trace how a concept evolved in a repo over time. Analyzes git commit history and code changes. No external AI required.

research.deep_compareC

Deep comparison of implementations across repos. Returns structured metrics and quality signals for the calling LLM to reason about.

research.start_chainA

Start a new research chain to track reasoning across multiple steps. Chains persist across sessions for future recall.

research.add_stepC

Add a reasoning step to an active research chain. Records: what you searched, what you found, key insight, decision made.

research.concludeC

Mark a research chain as completed with final synthesis.

research.recall_chainB

Search past research chains by topic. Answer questions like 'why did we choose Orama?' from stored reasoning.

genius.huntB

Find the best implementations of a concept across GitHub, grep.app, and searchcode. Returns ranked archetypes (not raw search results) with quality explanations. Example: genius.hunt('rate limiter', language: 'typescript')

genius.explainB

Explain why a code result ranked where it did. Full signal breakdown with per-factor scores.

forge_discoverA

Search ForgeMCP capabilities by intent. Returns matching tool names with one-line descriptions. Example: forge_discover('find rate limiter code') → genius.hunt, genius.find_best

forge_describeA

Get full input schema and usage example for a ForgeMCP tool. Call forge_discover first to find tool names.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.8/5.0

Scored across 30 tools

Disambiguation2/5

Multiple tools have overlapping purposes with near-identical descriptions: genius.find_best vs genius.hunt, github.compare vs research.deep_compare, and code.reach vs code.understand are easy to confuse. While some descriptions contain differentiating details, several boundaries remain unclear enough that an agent could misselect.

Naming Consistency3/5

Most tools use dot-namespaced names (memory.recall, github.search_code, code.reach), but the pattern is broken by forge_discover/forge_describe and subcommands mix single words, verbs, and snake_case (e.g., research.archaeology vs research.deep_compare). Readable but not fully consistent.

Tool Count2/5

With 30 tools, this exceeds the 25+ threshold for 'too many'. Several tools are redundant variations (e.g., two 'find best implementations' tools, two comparison tools), suggesting the surface could be consolidated rather than each tool earning its place.

Completeness4/5

The surface covers code memory CRUD (store, recall, evolve, forget, link, related, stats), research chain lifecycle, GitHub search/retrieval, local code understanding, and implementation discovery. Minor gaps like local full-text code search or exact-ID memory retrieval are workable, but not fatal.

Maintenance

ActivityNo data
ResponsivenessResponsive