AI Developer Tools

amdb

amdb turns your codebase into AI context entirely on your machine with a single-binary MCP server for AST parsing, call graphs, and local embeddings.

What is amdb?

amdb is a zero-runtime, single-binary code context MCP server that indexes your codebase using AST parsing, call graphs, and local embeddings, providing targeted context for AI tools without sending code off-device.

amdb vs Similar AI Tools

Pricing ModelFreeFreeFreeFree
Free Credits
Key Features
  • Single-binary MCP server with no runtime dependencies
  • AST parsing and call graph extraction for 16 languages
  • Local embeddings for semantic search
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
  • Append-only, SHA-256-addressed event history through Jaybase
  • AES-256-GCM encryption for stored node payloads
  • Unified RBAC for ledger, notes, snapshots, and audit reads
Pros
  • Runs entirely locally, no network required
  • Single binary with no runtime dependencies
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
  • Opinionated and secure accounting CLI with immutable audit trail
  • Designed for AI agent integration with JSON output
Cons
  • Only three languages have full AST-accurate public/signature enrichment
  • Initial indexing may take time on large codebases
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
  • Pre-1.0, limited feature set
  • No native QuickBooks import (agents must normalize data)
Best For
  • Developers needing local AI context for code
  • Teams in regulated industries requiring air-gapped solutions
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams
  • Small teams needing secure, auditable accounting with AI agent support
  • Developers integrating automated bookkeeping workflows

How to use amdb?

  1. 1Install via 'cargo install amdb' or download binary from releases.
  2. 2Run 'amdb init .' to index your repository (AST parse and embed).
  3. 3Run 'amdb serve' to expose the MCP server over stdio.
  4. 4Connect your editor (e.g., VSCode, Claude Code) by adding the MCP configuration.
  5. 5Use tools like 'amdb_get_context', 'amdb_focus', or 'amdb_get_symbol' in your AI assistant.

amdb Key Features

  • Single-binary MCP server with no runtime dependencies
  • AST parsing and call graph extraction for 16 languages
  • Local embeddings for semantic search
  • Incremental indexing with content hashing
  • Daemon mode for automatic re-indexing on file changes
  • Focus depth parameter to expand context via call graph hops
  • Supports air-gapped and offline environments
  • Output as Markdown context file or MCP tools

amdb Use Cases

  • Provide AI context for codebases in air-gapped or regulated environments
  • Offer targeted code context to AI coding assistants
  • Understand code dependencies via call graphs
  • Semantic code search without cloud dependency
  • Generate concise context files for CI/CD pipelines

amdb Pricing & Free Credits

amdb currently operates on a Free model.

This tool is completely free to use

Open Source

Free

MIT license - use freely

amdb Pros & Cons

Pros

  • Runs entirely locally, no network required
  • Single binary with no runtime dependencies
  • Supports 16 programming languages
  • Incremental indexing with content hashing saves time
  • Combines exact matching, semantic search, and call graph expansion

Cons

  • Only three languages have full AST-accurate public/signature enrichment
  • Initial indexing may take time on large codebases
  • Limited to codebases present on the local machine

What is amdb best for?

  • Developers needing local AI context for code
  • Teams in regulated industries requiring air-gapped solutions
  • CI/CD pipelines that need to provide context to AI agents

amdb FAQ

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