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coderdeep11

Claude Infinite Context

by coderdeep11

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
LOG_LEVELNoLogging level for verbose output (e.g., DEBUG for detailed logs)
REDIS_URLNoRedis connection URLredis://localhost:6379
GEMINI_MODELNoThe Gemini model to use for state merging. Available models: gemini-3-pro-preview (latest), gemini-2.5-pro (stable), gemini-2.5-flash (fast)gemini-3-pro-preview
PROJECT_ROOTNoThe project root directory. Use ${workspaceFolder} to automatically resolve to your current project directory
GEMINI_API_KEYYesYour Google Gemini API key (required for AI-powered state merging). Get from https://aistudio.google.com/apikey
ANTHROPIC_API_KEYNoYour Anthropic API key (optional - used as fallback if Gemini fails). Get from https://console.anthropic.com/

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
checkpointA

Save current context to Redis before running /clear. Merges new context with existing project state using LLM-based summarization.

resumeB

Load the last checkpoint at session start. Returns formatted context to inject into the conversation.

rollbackB

Revert to a previous checkpoint version. Useful if a merge produced incorrect results.

statusA

Show current state metadata including version, active files, tasks, token usage, and checkpoint history.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.9/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: checkpoint saves context, resume loads it, rollback reverts to a previous version, and status shows metadata. There is no overlap or ambiguity between these operations, making tool selection straightforward for an agent.

Naming Consistency5/5

All tool names follow a consistent, simple verb-based pattern (checkpoint, resume, rollback, status) without any mixing of conventions like snake_case or camelCase. This uniformity enhances readability and predictability across the tool set.

Tool Count5/5

With 4 tools, the server is well-scoped for managing context checkpoints in a session. Each tool serves a specific, essential function in the lifecycle (save, load, revert, inspect), and there are no extraneous or missing tools for this focused purpose.

Completeness5/5

The tool set provides complete coverage for the context management domain: checkpoint (create), resume (read), rollback (update/revert), and status (monitor). There are no obvious gaps, as all core operations for saving, restoring, and tracking context states are included.