In-depth architectural comparison of the Toon Memory and Context First 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
Toon Memory
Knowledge & Memory · Local stdio
Quality: 57/100 (Good) | Auth: No auth required
Context First MCP
Knowledge & Memory · Local stdio
Quality: 52/100 (Good) | Auth: No auth required
Verdict Summary: Choose Toon Memory if you need specialized Knowledge & Memory tools running via a local process. Choose Context First 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 Toon Memory 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).
Offline persistent memory for AI coding agents — 37 tools, 80% fewer calls, no LLM
Session memory, context health monitoring, reasoning quality, and truthfulness verification MCP server with 37 tools and tiered memory storage. npx -y context-first-mcp
Save a decision, pattern, bug, knowledge, or **warning** (negative "do NOT do this" memory, recalled with a boost) — optional TTL, auto-tag inference, `links` to build the memory graph, merge-dedup on same key, auto quality score and confidence. **Write-path intelligence**: each save is annotated w…
memory_recall
Search memory (use BEFORE reading files, filters expired TTL). `mode: "graph"` expands a relationship-aware subgraph for higher precision. `budget: "tiny"
memory_smart_recall
Unified recall**: BM25 + graph + decay + quality in one call. `sessionBias` boosts entries from the current git branch. `explain: true` appends per-entry reasons, `budget_tokens` caps output by estimated tokens. Use at the START of every task. Returns compact, token-efficient output
memory_forget
Lifecycle ops** by key or id: `action: "soft"` (default) marks obsolete, `"hard"` permanently removes, `"restore"` brings back to active, `"supersede"` retires it with a `superseded_by` link to `new_key
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).
Toon Memory is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Context First MCP belongs to Knowledge & Memory using local stdio subprocess. Select Toon Memory when you need capabilities focused on knowledge & memory and Context First MCP when you require tools for knowledge & memory.
Archive old entries (>30 days) and expired TTL entries
memory_diff
Show changes since a date (24h, 7d, or exact date)
memory_suggest
Find related entries for a given context
memory_encrypt
Enable AES-256-GCM encryption
memory_decrypt
Disable encryption
memory_backup
Create timestamped backup of memory file (auto-prunes to 10 most recent)
+23 more tools listed on main page
Context First MCP Tools (36)
context_loop
One-call orchestrator.** Runs 8 stages (ingest→recap→conflict→ambiguity→entropy→abstention→discovery→synthesis) and returns a single `directive` with `action`, `contextHealth` score, extracted facts, and suggested next tools
recap_conversation
Extracts hidden intent, key decisions, and produces consolidated state summaries
detect_conflicts
Compares new input against ground truth; surfaces contradictions
check_ambiguity
Identifies underspecified requirements and generates clarifying questions
verify_execution
Validates whether tool outputs actually achieved the stated goal
entropy_monitor
Proxy-entropy scoring via lexical diversity, contradiction density, hedge frequency, and n-gram repetition (ERGO)
abstention_check
5-dimension confidence scoring — abstains with questions rather than hallucinating (RLAAR)
detect_drift
Detects conversation drift from the original intent
check_depth
Evaluates response depth against question complexity
get_state
Retrieve confirmed facts and task status
set_state
Lock in ground truth — subsequent conflict checks run against these values