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  1. Home
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  3. MarsNMe
  4. vs Shelbymcp
Side-by-Side Model Context Protocol Comparison

MarsNMe vs Shelbymcp

In-depth architectural comparison of the MarsNMe and Shelbymcp 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

MarsNMe
Knowledge & Memory · Local stdio
Quality: 59/100 (Good) | Auth: No auth required
Shelbymcp
Knowledge & Memory · Local stdio
Quality: 52/100 (Good) | Auth: No auth required
Verdict Summary: Choose MarsNMe if you need specialized Knowledge & Memory tools running via a local process. Choose Shelbymcp 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?

MarsNMe logo

Choose MarsNMe 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: insert_memory, list_memories, search_memories.
Explore MarsNMe Details
Shelbymcp logo

Choose Shelbymcp 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: capture_thought, search_thoughts, list_thoughts.
Explore Shelbymcp Details

Feature & Specification Comparison

Specification
MarsNMe logo
MarsNMe
Knowledge & Memory
Shelbymcp logo
Shelbymcp
Knowledge & Memory
SummaryAgent-agnostic memory backend that preserves continuity between humans and AI over time.Knowledge-graph memory server for AI tools via MCP
Category & ScopeKnowledge & MemoryKnowledge & Memory
Quality signal

Tools & Capabilities Breakdown

MarsNMe Tools (16)

insert_memory
Store short-term memory
list_memories
List recent memories
search_memories
Semantic search via Jina embeddings
recall
Long-term chunk recall — ~80-char preview per match
get_summary
Medium excerpt (~300 chars) of a chunk by ID
get_full
Complete text of a long-term chunk by ID
memory_ingest

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).

MarsNMe Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "marsnme": {
      "command": "npx",
      "args": [
        "-y",
        "@marsnme/mcp-gateway"
      ]
    }
  }
}
Shelbymcp Configuration
mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "shelbymcp": {
      "command": "npx",
      "args": [
        "-y",
        "shelbymcp"
      ]
    }
  }
}

Frequently Asked Questions

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

More alternatives to MarsNMeMore alternatives to ShelbymcpKnowledge & Memory category hub

Related MCP Server Comparisons

Popular comparisons with MarsNMe

  • Moxie Docs MCP logoMarsNMe vs Moxie Docs MCP
  • Scrivener MCP logoMarsNMe vs Scrivener MCP
  • Project Tessera logoMarsNMe vs Project Tessera
  • Shodh Memory logoMarsNMe vs Shodh Memory

Popular comparisons with Shelbymcp

59/100 (Good)
52/100 (Good)
Transport ProtocolLocal Subprocess (stdio)Local Subprocess (stdio)
Auth RequirementNo auth requiredNo auth required
Pricing ModelFree / Open SourceFree / Open Source
Required Env VarsNone requiredNone required
Compatible Clients
Claude DesktopCursorWindsurfClineVS Code
Claude DesktopCursorWindsurfClineVS Code
Install path signalnpx · highnpx · high
Engagement & Health 1 views 0 copies 0 upvotes 7 stars 1 views 0 copies 0 upvotes 0 stars
Verified / OfficialCommunity ListingCommunity Listing
Open full listingView MarsNMe ListingView Shelbymcp Listing
Ingest long-term insight chunks
dream_ingest
Dream-mode long-term ingestion
session_boot
Start a session with context pre-load
session_close
Close session, summarize, auto-promote expiring memories
health_check
Coverage, expiry, conflict diagnostics
reload_source_registry
Refresh source whitelist at runtime
+4 more tools listed on main page

Shelbymcp Tools (9)

capture_thought
Store a thought with summary, metadata, topics, and relationships. Accepts an array for bulk capture.
search_thoughts
Full-text search with knowledge graph expansion. Auto-detects FTS5 vs. vector mode. Returns summaries, not full content.
list_thoughts
Browse/filter by type, topic, person, project, date range
get_thought
Retrieve a specific thought by ID (full content)
update_thought
Update content or metadata. Accepts `ids` array for bulk updates.
delete_thought
Remove a thought
manage_edges
Create or remove typed relationships between thoughts (link, unlink)
explore_graph
Traverse the knowledge graph from a starting thought. Depth 1 = direct connections, 2+ = full traversal.
thought_stats
Aggregate statistics about your memory
Moxie Docs MCP logo
Shelbymcp vs Moxie Docs MCP
  • Scrivener MCP logoShelbymcp vs Scrivener MCP
  • Codebase Memory MCP logoShelbymcp vs Codebase Memory MCP
  • Context7 logoShelbymcp vs Context7