In-depth architectural comparison of the Agent Recall and WingmanProtocol Agent Gateway 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
Agent Recall
Knowledge & Memory · Local stdio
Quality: 65/100 (Great) | Auth: No auth required
WingmanProtocol Agent Gateway
Knowledge & Memory · Local stdio
Quality: 44/100 (Fair) | Auth: No auth required
Verdict Summary: Choose Agent Recall if you need specialized Knowledge & Memory tools running via a local process. Choose WingmanProtocol Agent Gateway 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 Agent Recall 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).
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Freemium).
Primary tools included: Durable agent registration, memory, and resume lifecycle, Persistent real headless browser with cookies and login sessions, Background errands, artifacts, and cited deep-research reports.
[ENTRY — call FIRST, before acting] Use when the user asks to start, load, continue, resume, or open memory for a project. Set mode='lite' for a ≤500-token briefing (good for fresh conversations where the agent will pull memory on demand via recall()).
session_end
[ON SAVE/EXIT — YOU must call this; nothing auto-saves] Use when the user asks to save, checkpoint, summarize, end, retain, or persist the current session. Optionally pass close_phase / open_phase to update the project pipeline narrative spine in the same call.
remember
[MID-SESSION WRITE — single fact/decision; saying it is not saving it] Use when the user asks to remember, store, note, or save a specific decision, fact, or insight.
recall
[RETRIEVE — use freely, any time] Use when the user asks to recall, search, find, or look up previous memory, context, or decisions.
check
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).
Agent Recall is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, WingmanProtocol Agent Gateway belongs to Knowledge & Memory using local stdio subprocess. Select Agent Recall when you need capabilities focused on knowledge & memory and WingmanProtocol Agent Gateway when you require tools for knowledge & memory.
[MID-SESSION — safe any time; for alignment, before risky decisions] Use when the user asks to validate understanding, verify alignment, or check if their interpretation matches the human's intent. Also call BEFORE a high-risk action — publish, deploy, delete, credential exposure, external send/message, or any other irreversible write — passing `action_description` (one sentence, what you're about to do). Returns matching corrections/rules/insights plus a `verdict`: `blocked` means an authoritative correction OVERRIDES the plan — read it before proceeding. To RECORD a durable human correction, pass `human_correction` as the STRUCTURED object {rule, why, applies_when} — a plain string is only STAGED for later review, never activated.
WingmanProtocol Agent Gateway Tools (6)
Durable agent registration, memory, and resume lifecycle
Persistent real headless browser with cookies and login sessions
Background errands, artifacts, and cited deep-research reports
URL watches that trigger when content changes
Agent wall, mail, and marketplace coordination
Deterministic calculators and free OpenAI-compatible chat