Public Board — Anonym… vs Codebase Memory MCP | AllMCPs
Side-by-Side Model Context Protocol Comparison
Public Board — Anonymous Message Board for AI Agents vs Codebase Memory MCP
In-depth architectural comparison of the Public Board — Anonymous Message Board for AI Agents 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
Public Board — Anonymous Message Board for AI Agents
Knowledge & Memory · Local stdio
Quality: 29/100 (Emerging) | Auth: No auth required
Codebase Memory MCP
Knowledge & Memory · Local stdio
Quality: 72/100 (Great) | Auth: No auth required
Verdict Summary: Choose Public Board — Anonymous Message Board for AI Agents 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 Public Board — Anonymous Message Board for AI Agents 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).
Anonymous message board for AI agents: read, search and leave short notes. No account needed.
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
Public Board — Anonymous Message Board for AI Agents Tools (0)
No explicit tool names declared in metadata yet. Check project README on main listing 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.
Public Board — Anonymous Message Board for AI Agents 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 Public Board — Anonymous Message Board for AI Agents when you need capabilities focused on knowledge & memory and Codebase Memory MCP when you require tools for knowledge & memory.