# Codebase Insights MCP Server

> Use this tool when you need to analyze API codebases and generate valuable insights, such as Postman collections and business reports, to streamline development and improve code quality. It solves problems related to API documentation, testing, and maintenance by providing detailed code analysis and supporting multiple frameworks. It takes GitHub and Bitbucket repositories as input and outputs actionable code insights, making it ideal for development teams working with FastAPI, Spring Boot, Flask, Express, and OpenAPI/Swagger specifications.

Canonical page: https://skillsregistry.net/skills/llanterme-codebase-insights-mcp  
JSON: https://api.skillsregistry.net/v1/skills/llanterme-codebase-insights-mcp

## Description

Analyzes API codebases from GitHub and Bitbucket repositories to generate Postman collections, business reports, and detailed code insights. Supports multiple frameworks including FastAPI, Spring Boot, Flask, Express, and OpenAPI/Swagger specifications.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f0xnh5pab7)
- **Repository:** <https://github.com/llanterme/codebase-insights-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "llanterme-codebase-insights-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/llanterme-codebase-insights-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/llanterme-codebase-insights-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt