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Glama
InstalabsAI

instagit

by InstalabsAI

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

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
ask_repoA

Analyze any Git repository with AI. Point it at a repo and ask questions about the codebase.

Example prompts by use case:

Understanding Architecture:

  • repo: "nginx/nginx", prompt: "How does nginx handle concurrent connections? Walk through the event loop, worker process model, and connection state transitions."

Integration and API Usage:

  • repo: "hashicorp/terraform", prompt: "How do I implement a custom provider? What interfaces does the SDK expose, how are CRUD operations mapped to the resource lifecycle?"

Debugging and Troubleshooting:

  • repo: "docker/compose", prompt: "How does Compose resolve service dependencies and startup order? What happens with depends_on and health check conditions?"

Security Review:

  • repo: "redis/redis", prompt: "Review the ACL security model. How are per-user command permissions enforced, and how does AUTH prevent privilege escalation?"

Code Quality and Evaluation:

  • repo: "vitejs/vite", prompt: "How does Vite's plugin system compare to Rollup's? What are the Vite-specific hooks and tradeoffs?"

Deep Technical Analysis:

  • repo: "ggml-org/llama.cpp", prompt: "How does the KV cache work during autoregressive generation? How are past key-value pairs stored, reused, and evicted?"

Migration Planning (with ref — Pro/Max plans only):

  • repo: "mui/material-ui", ref: "v4.12.0", prompt: "Document the Button component's full API surface — every prop, its type, default value, and behavior."

  • repo: "mui/material-ui", ref: "v5.0.0", prompt: "Document the Button component's full API surface — every prop, its type, default value, and behavior." (Compare both results to build a migration guide between v4 and v5)

  • repo: "kubernetes/kubernetes", ref: "release-1.29", prompt: "How does the scheduler's scoring and filtering pipeline work for pod placement?"

Ask detailed, specific questions — the tool returns real function signatures, parameter types, return values, and source citations with exact file paths and line numbers.

If you hit a rate limit (429), the user's monthly token credits are exhausted — they can wait for the reset or upgrade their plan. Free-tier repos larger than 2 GB will be rejected with a 413 error; suggest upgrading to Pro or Max for unlimited repo size.

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 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'ask_repo' has a clearly defined and distinct purpose: analyzing Git repositories with AI-driven questions.

Naming Consistency5/5

Since there is only one tool, naming consistency is inherently perfect. The tool name 'ask_repo' follows a clear verb_noun pattern, and there are no other tools to create inconsistency.

Tool Count2/5

A single tool is too few for a server named 'instagit' that implies Git-related functionality. While the tool is powerful, the scope feels thin; typical Git servers would include tools for operations like cloning, branching, or committing, not just AI analysis.

Completeness2/5

The tool surface is severely incomplete for a Git-focused server. It only provides AI-based repository analysis, missing essential Git operations such as repository management, file operations, or version control actions, which are core to the inferred domain.

Maintenance

ActivityInactive
ResponsivenessNo issues