# RepoGraph-Honest MCP Server

> RepoGraph-Honest MCP Server — fengrru-repograph-honest-mcp. Use this tool when you need to validate generated code against project dependencies and structure in real-time, catching errors such as undefined symbols and type mismatches. It provides capabilities for project indexing, symbol and API checking, and code analysis, solving problems related to code quality and reliability. Ideal for use cases where ensuring accurate and functional code is crucial, such as in software development and testing environments.

Canonical page: https://skillsregistry.net/skills/fengrru-repograph-honest-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fengrru-repograph-honest-mcp

## Description

An MCP server that validates generated code against project structure and installed dependencies, catching undefined symbols, wrong API calls, dead code, and type mismatches in real time. It provides tools for project indexing, symbol/API checking, sandboxed execution, file scanning, and code analysis.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gjx8v9m72v)
- **Repository:** <https://github.com/Fengrru/honestcode>

## 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": "fengrru-repograph-honest-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fengrru-repograph-honest-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fengrru-repograph-honest-mcp/pull`

---
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