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  1. Home
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  3. Moxie Docs MCP
  4. vs Tempera
Side-by-Side Model Context Protocol Comparison

Moxie Docs MCP vs Tempera

In-depth architectural comparison of the Moxie Docs MCP and Tempera 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

Moxie Docs MCP
Knowledge & Memory · Local stdio
Quality: 80/100 (Excellent) | Auth: API Key required
Tempera
Knowledge & Memory · Local stdio
Quality: 45/100 (Fair) | Auth: No auth required
Verdict Summary: Choose Moxie Docs MCP if you need specialized Knowledge & Memory tools running via a local process. Choose Tempera 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?

Moxie Docs MCP logo

Choose Moxie Docs 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).
  • Primary tools included: moxie.get_ai_context, moxie.get_doc_impact, moxie.get_api_context.
Explore Moxie Docs MCP Details
Tempera logo

Choose Tempera 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).
  • Primary tools included: tempera_session_start, tempera_brief, tempera_retrieve.
Explore Tempera Details

Feature & Specification Comparison

Specification
Moxie Docs MCP logo
Moxie Docs MCP
FeaturedVerifiedKnowledge & Memory
Tempera logo
Tempera
Knowledge & Memory
Summary
Category & ScopeKnowledge & Memory

Tools & Capabilities Breakdown

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.

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).

Moxie Docs MCP Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "moxie-docs-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "moxie-docs"
      ]
    }
  }
}
Tempera Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "tempera": {
      "command": "npx",
      "args": [
        "-y",
        "tempera"
      ]
    }
  }
}

Frequently Asked Questions

Moxie Docs MCP is categorized under Knowledge & Memory and uses a local stdio subprocess. In contrast, Tempera belongs to Knowledge & Memory using local stdio subprocess. Select Moxie Docs MCP when you need capabilities focused on knowledge & memory and Tempera when you require tools for knowledge & memory.

More alternatives to Moxie Docs MCPMore alternatives to TemperaKnowledge & Memory category hub

Related MCP Server Comparisons

Popular comparisons with Moxie Docs MCP

  • Scrivener MCP logoMoxie Docs MCP vs Scrivener MCP
  • Context7 logoMoxie Docs MCP vs Context7
  • Codebase Memory MCP logoMoxie Docs MCP vs Codebase Memory MCP
  • Contextforge MCP logoMoxie Docs MCP vs Contextforge MCP

Popular comparisons with Tempera

Knowledge & Memory
Quality signal80/100 (Excellent)45/100 (Fair)
Transport ProtocolLocal Subprocess (stdio)Local Subprocess (stdio)
Auth RequirementAPI Key requiredNo auth required
Pricing ModelFreemiumFree / Open Source
Required Env VarsNone requiredNone required
Compatible Clients
Claude DesktopCursorWindsurfClineVS Code
Claude DesktopCursorWindsurfClineVS Code
Install path signalnpx · highnpx · low
Engagement & Health 31 views 25 copies 4 upvotes 2 stars 0 views 0 copies 0 upvotes 6 stars
Verified / Official Yes (Verified)Community Listing
Open full listingView Moxie Docs MCP ListingView Tempera Listing
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.

Tempera Tools (12)

tempera_session_start
Call ONCE at the very start. Returns any clarifying question tempera drafted after a previous failed/partial session in this project.
tempera_brief
Call once the file set is known. Joins pending ask-back, reasoning template, top correction categories for these files, should-have-asked triggers, and calibration warning into one response. Pass `task_type` + `domain` for richer output. Set `cross_project=true` to supplement with rows from other p…
tempera_retrieve
Search for similar past episodes. Set `scope="cross-project"` to include transferable claims from other projects.
tempera_template
Pull the reasoning template stored for a `(task_type, domain)` pair. The step sequence past wins followed.
tempera_log_correction
When the user corrects an assumption / decision / piece of code. Categorized log; the brief surface uses it.
tempera_log_should_have_asked
When you realize mid-task you should have asked a question up front. Records the trigger context, the question, and the eventual answer.
tempera_capture
Save session as an episode. Auto-detects session links and runs propagation. The intent-extraction LLM call also suggests a `ValidityScope` for cross-project routing.
tempera_feedback
Mark retrieved episodes as helpful or not. Drives the utility-learning loop.
tempera_status
Per-project memory health snapshot.
tempera_stats
Statistics + trend analytics (helpfulness over time, domain growth, learning curve).
tempera_propagate
Multi-hop Bellman propagation with convergence tracking. Periodic maintenance.
tempera_review
Consolidate similar BKMs, cleanup. Run after related task series.
Scrivener MCP logo
Tempera vs Scrivener MCP
  • Codebase Memory MCP logoTempera vs Codebase Memory MCP
  • Context7 logoTempera vs Context7
  • Deja Vu logoTempera vs Deja Vu
  • MCP & Agent Skills for Automated Documentation, and codebase conventions + context
    Persistent episodic memory for AI coding: capture, retrieve, brief, dream cycle, cross-project.