In-depth architectural comparison of the A2cr and Codebase Memory MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
A2cr
Knowledge & Memory · Local stdio
Quality: 49/100 (Fair) | Auth: No auth required
Codebase Memory MCP
Knowledge & Memory · Local stdio
Quality: 72/100 (Great) | Auth: No auth required
Verdict Summary: Choose A2cr if you need specialized Knowledge & Memory tools running via a local process. Choose Codebase Memory MCP if your workspace requires Knowledge & Memory integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose A2cr when:
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
MCP server for AI-agent handoffs. Saves client-encrypted WorkBaton checkpoints and WorkStash notes so Codex, Claude Code, Roo Code, and other MCP clients can resume work without passing full chat history.
Code-intelligence engine that indexes a repo into a persistent knowledge graph — functions, classes, call chains, HTTP routes, cross-service links. 159 languages via tree-sitter + Hybrid LSP, sub-ms structural queries, 99% fewer tokens than grep. Single static binary, zero dependencies, 100% local. npx codebase-memory-mcp
Category & Scope
Tools & Capabilities Breakdown
A2cr Tools (13)
explain_a2cr_flows
explain when to use WorkBaton, WorkStash, or WorkThreads.
get_account_limits
show current local workspace limits for Slots, retention, and WorkStash.
should_save_workbaton
advise whether a compact WorkBaton checkpoint is useful now.
save_context
save a WorkBaton checkpoint in the local workspace.
resume_context
find and load the right WorkBaton for a fresh AI window.
load_context
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
A2cr is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Codebase Memory MCP belongs to Knowledge & Memory using local stdio subprocess. Select A2cr when you need capabilities focused on knowledge & memory and Codebase Memory MCP when you require tools for knowledge & memory.
advise whether a supporting note belongs in WorkStash.
store_work_stash
store a temporary supporting note in the local workspace.
get_work_stash
retrieve a referenced WorkStash entry.
list_work_stash
list WorkStash metadata and quota usage.
+1 more tools listed on main page
Codebase Memory MCP Tools (14)
index_repository
Index a repository into the graph. Auto-sync keeps it fresh after that.
list_projects
List all indexed projects with node/edge counts.
delete_project
Remove a project and all its graph data.
index_status
Check indexing status of a project.
search_graph
Structural, BM25, and semantic search. Page structural rows with `offset`/`limit` and ranked semantic rows independently with `semantic_offset`/`semantic_limit`.
trace_path
BFS traversal — who calls a function and what it calls (alias: `trace_call_path`). Depth 1-5.
detect_changes
Map git diff to affected symbols + blast radius with risk classification.
query_graph
Execute Cypher-like graph queries (read-only).
get_graph_schema
Node/edge counts, relationship patterns, property definitions per label. Run this first.
get_code_snippet
Read source code for a function by qualified name.