Axon

Axon

Axon is an MCP server that provides root-cause debugging and vulnerability detection for AI coding agents. It enables agents to localize bugs, verify fixes, and find security vulnerabilities with high precision, requiring zero configuration.

Category
Visit Server

README

Axon

Root-cause debugging & vulnerability plugin for AI coding agents.

Axon traces a fault signal back to its source — like the axon that carries a neuron's signal. It gives an agent the tools to localize bugs, verify fixes, and find security vulnerabilities with high precision.

Companion to Cortex. Cortex is the context/graph brain; Axon is the debugging + security tracer. Cortex is optional — Axon runs fully standalone.

Why Axon

Research shows no agent hits "90% detect everything" universally. Axon reaches ≥90% on a defined slice by stacking four proven levers:

  1. Context grounding — code graph + retrieval, built-in (no external deps).
  2. Executable verification — reproduce → fix → confirm FAIL→PASS.
  3. Adversarial triage — a refuter agent must disprove each finding → kills false positives (the security adoption killer).
  4. Static-analysis grounding — SAST output the agent filters/confirms.

Plug-and-play by design

  • Zero-config. Install → run. Nothing else needed.
  • No GPU, no model download, no daemon. Retrieval defaults to BM25 + ripgrep.
  • Optional accelerators, auto-detected, never required:
    • Cortex → richer code graph/impact. Absent → built-in provider.
    • Local embedding model → semantic re-rank. Absent → BM25 floor.
    • CodeQL → deeper security. Absent → Semgrep.
  • Same agent tools and output shape on every rung. Accelerators only improve quality/speed; their absence never breaks a feature.

Tools (MCP)

axon serve exposes 14 tools over MCP (stdio): index, graph_context, search, localize, run_tests, repro, verify_fix, spectrum, sast_scan, refute, triage, inspect, rank_patches, investigate.

Quickstart

pip install -e .      # or: uvx axon
axon doctor           # environment + active backend
axon index <repo>     # build/refresh the code index
axon serve            # start the MCP server (stdio)

Point any MCP host (Claude Code, etc.) at axon serve. Runs with no Cortex, no GPU, no model download.

Install as a Claude Code plugin

/plugin marketplace add <path-or-git-url-of-this-repo>
/plugin install axon@axon

Install as a Codex plugin

codex plugin marketplace install <path-or-git-url-of-this-repo>

The first server start bootstraps a private plugin venv and needs python3. Semgrep-backed SAST is optional: install it with pip install 'axon-debug[security]' into the plugin venv, or have semgrep available on PATH.

Versioning: Axon uses semver; bump pyproject.toml, .claude-plugin/plugin.json, .claude-plugin/marketplace.json, .codex-plugin/plugin.json, and .agents/plugins/marketplace.json together on release.

Status

v0.3 built and verified — 60 tests pass. Core machinery (providers, localize, verify-fix loop, security triage) works and composes end-to-end. The frozen benchmark run (SWE-bench + PrimeVul) is the next milestone — see docs/VERIFICATION.md for exactly what is proven vs. still unmeasured, and docs/PLAN.md for the design.

v0.3 debugging upgrades — function-level localization, runtime-state inspection, patch ranking, and one-call investigate bundles add deterministic evidence for root-cause debugging workflows. Measured on the django/sympy SWE-bench Verified slice (n=8, no LLM, no regression from v0.2): File@3 50%, File@10 75%, Function@10 12% (new deterministic-only baseline — the calling agent is the reranking layer).

Security

Report vulnerabilities privately through the process in SECURITY.md. Public repository hardening requirements are tracked in docs/GITHUB_SECURITY.md.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured