# polycodegraph

> Use this tool when you need to analyze and query code structure across multiple programming languages, such as Python, TypeScript, JavaScript, and Go. It solves problems like finding symbols, identifying dead code, and tracing dataflow, providing outputs like callers, callees, and blast radius through an HTTP request interface. With its local-first approach and no API key required, it's ideal for developers seeking self-contained code analysis and querying capabilities.

Canonical page: https://skillsregistry.net/skills/smochan-polycodegraph  
JSON: https://api.skillsregistry.net/v1/skills/smochan-polycodegraph

## Description

Multi-language code-graph MCP server with 18 tools for structural code queries — find_symbol,
callers, callees, blast_radius, dead_code, and cross-stack dataflow_trace from HTTP request through
service layers to SQL. Tree-sitter parsing for Python, TypeScript, JavaScript, and Go;
local-first, no API key required.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d0uik6cslp)
- **Repository:** <https://github.com/smochan/polycodegraph>

## 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": "smochan-polycodegraph"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smochan-polycodegraph` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smochan-polycodegraph/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