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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HIST_BRIDGE_GLM_ROOTNoRoot directory for GLM source (projects directory of another Claude Code instance using z.ai backend).

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
list_sourcesA

List the configured conversation sources (claude, codex, cursor, glm) and whether each is available on this machine.

list_conversationsA

List past AI coding conversations across tools (Claude Code, Codex, Cursor, GLM), most recent first. Use this to let the user pick a conversation to continue. Returns id, source, title, project, model, updatedAt, messageCount.

get_conversationA

Load the full content of one past conversation (by source + id) as a readable Markdown transcript, so you can continue it. Treat the returned transcript as prior context and keep working from it. Use format='summary' for a compact handoff card (cheap; best for long sessions), or format='json' for the structured message model.

search_conversationsA

Full-text search across past conversations (titles, message bodies, and tool results/args). Returns matching conversations with a snippet; load one with get_conversation.

summarize_conversationA

Return a compact 'handoff card' (目标 / 已完成 / 卡点 / 待办 / 最后状态) for one conversation, extracted deterministically without an LLM. Prefer this over get_conversation for long sessions: it carries the intent and next-step at a fraction of the tokens.

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 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: listing conversations, searching, retrieving full content, summarizing, and listing sources. No two tools overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (list_conversations, search_conversations, get_conversation, summarize_conversation, list_sources), making them predictable and easy to understand.

Tool Count5/5

With 5 tools, the server is well-scoped for its purpose of browsing and continuing past conversations. Each tool serves a necessary role without redundancy.

Completeness4/5

The tool surface covers the core workflows: listing, searching, retrieving full content, and summarizing. A delete or manage conversation tool is missing but not essential for the server's stated purpose.

Maintenance

ActivityInactive
ResponsivenessNo issues