In-depth architectural comparison of the AgentModule MCP and Moxie Docs 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
AgentModule MCP
Knowledge & Memory · Local stdio
Quality: 49/100 (Fair) | Auth: API Key required
Moxie Docs MCP
Knowledge & Memory · Local stdio
Quality: 82/100 (Excellent) | Auth: API Key required
Verdict Summary: Choose AgentModule MCP if you need specialized Knowledge & Memory tools running via a local process. Choose Moxie Docs 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 AgentModule MCP when:
You need dedicated capabilities in the Knowledge & Memory domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (Freemium).
Agent-native knowledge infrastructure. Deterministic, vertical-specific knowledge bases engineered for autonomous agent consumption via MCP. Ethics module (22 modules, EU AI Act mapped) included with every membership. Free 24hr ethics trial.
MCP & Agent Skills for Automated Documentation, and codebase conventions + context
Category & Scope
Tools & Capabilities Breakdown
AgentModule MCP Tools (7)
query_knowledge
Retrieve structured compliance logic. Start at the root index, drill into modules, access content layers.
get_trial_key
Free 24-hour trial. All 4 content layers, all AI Compliance modules, 500 calls.
check_status
API status, version, available verticals, cohort counts. No parameters.
join_waitlist
Register for a vertical membership. Inaugural cohort: $19/mo, 900 seats, grandfathered for life.
register_interest
Signal demand for a new vertical. 500 signals triggers build queue.
submit_pov
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).
AgentModule MCP is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Moxie Docs MCP belongs to Knowledge & Memory using local stdio subprocess. Select AgentModule MCP when you need capabilities focused on knowledge & memory and Moxie Docs MCP when you require tools for knowledge & memory.
Submit a Proof of Value after exploring the trial. Confidence scores drive cohort progression.
submit_referral
Members earn $1.50/referral (4/cycle max). Voluntary.
Moxie Docs MCP Tools (12)
moxie.get_ai_context
Compact pre-edit briefing: repo status, verified commands, top conventions, open gaps, team notes. Read this first.
moxie.get_doc_impact
Given the paths you're about to change (and any you're deleting), returns the conventions, gaps, and existing docs whose evidence overlaps them - and flags net-new/undocumented surfaces.
moxie.get_api_context
Given paths you're about to touch, returns structured context for any API endpoints they map to: method, path, schema, and known consumers/features.
moxie.review_change
Self-review a change before opening the PR; returns a severity-ranked verdict (clean / warnings / must-fix) covering convention breaches, stale docs, undocumented surface, and broken references.
moxie.get_conventions
Discovered coding conventions, grouped by category, with confidence scores, agent guidance, and source-file citations.
moxie.search_docs
Semantic + keyword search over generated docs, conventions, gaps, and AI context.
moxie.get_doc_gaps
Unresolved documentation gaps with severity and the paths they concern.
moxie.get_documentation_opportunities
Recommended doc work: missing docs, drift repairs, and PR templates.
moxie.get_documentation_patterns
How the repository organizes and maintains its docs (where new docs belong).
moxie.list_docs
Paginated, section-grouped table of contents of every generated doc.
moxie.propose_doc_update
Add or update a doc as part of your current change; returns the target path + Markdown to write into your branch.
moxie.propose_doc_removal
Remove a Moxie-tracked doc your change makes obsolete; returns the path to delete in your branch.