GitHub
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Description from the maker (original English)
Python symbol exploration for codebase onboarding agents.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"ast-explorer": {
"command": "uvx",
"args": [
"mcp-ast-explorer"
]
}
}
}Run this in your terminal
claude mcp add ast-explorer -- uvx mcp-ast-explorerPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ast-explorer": {
"command": "uvx",
"args": [
"mcp-ast-explorer"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ast-explorer": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-ast-explorer"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account LovRanRan, which owns the repo
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We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
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MCP server for deterministic Python codebase symbol exploration.
mcp-ast-explorer indexes Python source files with LibCST and exposes focused MCP tools for codebase onboarding: definition lookup, function signatures, local references, direct call chains, and simple class hierarchy queries.
mcp-ast-explorer is the semantic symbol layer in a three-server MCP tool stack for Project 6 wayfinder, a codebase onboarding agent.
mcp-repo-mapper maps repository structure, languages, entry points, framework evidence, and Python dependency edges.mcp-ast-explorer provides symbol-grounded Python definition, signature, reference, call-chain, and class-hierarchy lookups.mcp-test-runner runs local pytest/Jest checks and coverage summaries so agent claims can be verified against execution.In wayfinder, this server feeds entry-point and symbol explanation while refusing to invent missing symbols.
This is a Python-only v1. TypeScript is registered as an unsupported backend placeholder so the server has an explicit extension point, but TypeScript analysis is not implemented yet.
The server does not use an LLM for symbol lookup. If a requested symbol or class is not present in the parsed index, tools return a structured not-found result instead of inventing an answer.
| Tool | Purpose |
|---|---|
health() | Returns ok for smoke checks. |
find_definition(path, symbol, language="python") | Finds a module, class, function, or method definition. |
function_signature(path, symbol, language="python") | Returns the signature for a function or method symbol. |
find_references(path, symbol, language="python") | Returns same-module CST name references for an existing symbol. |
call_chain(path, from_symbol, depth=2, language="python") | Returns direct callers detected from local references. |
class_hierarchy(path, class_name, language="python") | Returns direct subclasses detected from simple base-class names. |
class Child(Base): inheritance.call_chain currently returns direct callers only; recursive multi-hop expansion is not implemented.class_hierarchy currently returns direct subclasses only and handles simple base names.Install dependencies:
uv sync --extra dev
Run the MCP server:
uv run mcp-ast-explorer
Run verification:
uv run ruff check .
uv run mypy uv run pytest
MIT