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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
search_conversationsC

Search through Claude Code conversation history with smart insights

find_file_contextB

Find all conversations and changes related to a specific file

find_similar_queriesB

Find previous similar questions or queries with enhanced matching

get_error_solutionsB

Find solutions for specific errors with enhanced matching

list_recent_sessionsC

Browse recent sessions with smart activity detection and summaries

extract_compact_summaryC

Get intelligent summary of a conversation session with key insights

find_tool_patternsC

Analyze tool usage patterns, workflows, and successful practices

search_plansB

Search Claude Code plan files for past implementation approaches, decisions, and patterns

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.3/5.0

Scored across 8 tools

Disambiguation4/5

Most tools have clearly distinct purposes, such as extract_compact_summary for session summaries and find_file_context for file-related conversations. However, find_similar_queries and search_conversations could potentially overlap in functionality, as both involve searching through conversation history, which might cause minor confusion for an agent.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case, such as extract_compact_summary, find_file_context, and search_conversations. This predictability makes it easy for an agent to understand and navigate the tool set without naming-related confusion.

Tool Count5/5

With 8 tools, the server is well-scoped for its purpose of analyzing conversation history and patterns. Each tool appears to serve a specific function, such as summarizing sessions, finding errors, or searching plans, making the count appropriate and manageable for the domain.

Completeness4/5

The tool set covers key aspects of conversation analysis, including summarization, searching, error resolution, and pattern detection. A minor gap might be the lack of tools for modifying or annotating historical data, but the surface is largely complete for querying and insights, allowing agents to work effectively within the domain.

Maintenance

ActivityInactive
ResponsivenessUnresponsive