Shelbymcp MCP server
io.github.Studio-Moser/shelbymcp·v0.2.4Knowledge-graph memory server for AI tools via MCP
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If you have run it, two minutes of your experience saves the next person an afternoon.
Shelbymcp tools (9, 3 write)
write = sends, deletes, buys or postsRead from the package source without running it. The installed server may list more.
capture_thoughtStore a thought with metadata, topics, and relationships
delete_thoughtwrite actionRemove a thought and its edges
explore_graphTraverse the knowledge graph from a starting thought
get_thoughtRetrieve a specific thought by ID with full content
list_thoughtsBrowse and filter thoughts by type, topic, person, project, or date range
manage_edgeswrite actionCreate or remove typed relationships between thoughts
search_thoughtsFull-text search with optional vector reranking. Returns summaries, not full content.
thought_statsAggregate statistics about the memory database
update_thoughtwrite actionUpdate content or metadata on one or more thoughts
Public scan report
scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scan47 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 6 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
How Shelbymcp compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 94/100
- higher than 96% of 48,255 servers
- Tools
- 9
- the typical server has 7
- Tools that change things
- 33%
- typical: 0%. Fewer write tools means less an agent can break
What its tools let an agent do: 6 read · 2 change · 1 delete
Install Shelbymcp in Claude Code, Cursor or VS Code
Runs npx -y shelbymcp on your machine. Read the scan report first; the gateway never runs local packages.
claude mcp add shelbymcp -- npx -y shelbymcp
What the publisher says
From the Shelbymcp repository's README, as published. We do not edit it. Read it on GitHub
Local knowledge-graph memory for AI tools, implemented as one Rust binary.
ShelbyMCP gives MCP-compatible agents durable memory across sessions. Thoughts live in a local SQLite database with FTS5 search, optional vectors, typed graph edges, project scope, trust fencing, and curated context briefs. The server performs no inference and makes no model API calls.
Quick start
Run the platform-native binary through npm:
npx -y shelbymcp --version
npx -y shelbymcpThe default stdio server stores data at ~/.shelbymcp/memory.db. Existing databases created by ShelbyMCP schema v18 open unchanged.
Package-first integrations are included in the protected v0.4.0 release:
Use shelby-mcp setup only when the client package or marketplace entry is not available yet. The fallback supports claude-code, claude-desktop, cursor, codex, gemini, and antigravity; devin directs you to its organization-managed marketplace, while windsurf keeps the legacy local config flow. It safely merges the MCP entry and never appends instructions to a global rules file. See Agent Setup.
What agents can do
The server exposes 12 MCP tools:
- Capture, search, list, fetch, update, and delete thoughts.
- Link and traverse typed graph edges with manageedges, exploregraph, and expand_neighbors.
- Build trusted, token-bounded context with getbrief and selectcontext.
- Audit the database with thought_stats.
Search returns summaries and IDs so clients can fetch full content only when needed. Project-aware operations resolve scope from MCP roots and fail closed when the project cannot be identified. Untrusted or external memories are returned inside explicit data-only fences.
The optional Forage and Onboard skills are packaged with supported clients. They run in the user's agent session; ShelbyMCP does not receive or store model credentials. Standalone prompt bodies remain available:
shelby-mcp forage
shelby-mcp onboard
shelby-mcp migrate
shelby-mcp protocolHTTP and OAuth
Start Streamable HTTP on port 3100:
SHELBY_API_KEY="replace-with-a-long-random-secret" \
npx -y shelbymcp --transport http --host 127.0.0.1 --port 3100Endpoints include /mcp, /health, and MCP discovery documents. Setting SHELBYAPIKEY enables bearer authentication and an OAuth authorization-code flow with protected-resource discovery, S256 PKCE, dynamic client registration, and resource-bound access and refresh tokens. Tokens do not expire or rotate; rotate SHELBYAPIKEY to revoke them. Without it, HTTP runs unauthenticated and the OAuth endpoints return 503; do not bind an unauthenticated server to an untrusted network.
Build from source
git clone https://github.com/Studio-Moser/shelbymcp.git
cd shelbymcp
cargo build -p shelby-mcp
cargo test --workspace
npm ci
npm testRust owns the product. Node is used only for the small npm launcher, packaging scripts, and their tests. See Development and Architecture.
Memory-engine pull requests also run a deterministic contract and public retrieval gate. See Memory evaluation.
Reuse in Shelby App
The workspace is intentionally layered for the cross-platform Shelby App:
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Shelbymcp: common questions
- Is Shelbymcp MCP server safe?
- Yes, by our scan: it is graded A (94/100). Read the Shelbymcp safety report
- How do I install Shelbymcp?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Shelbymcp need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Shelbymcp maintained?
- The last commit was 44 days ago (2026-09-21). The latest release is v0.2.4.
- What can I use instead of Shelbymcp?
- Servers from other publishers that do the same job: Codebase Memory MCP server, Neo4j Memory MCP server and State Memory MCP server.
- How does Shelbymcp compare with other MCP servers?
- safety score 94/100 (higher than 96% of 48,255 servers); tools 9 (the typical server has 7); tools that change things 33% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.
Alternatives to Shelbymcp
Same job from other publishers: the closest match first, then the best rated.
- Codebase MemoryCodebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.not reviewedWidely usedC
- Neo4j MemoryMCP Neo4j Knowledge Graph Memory Servernot reviewedEstablishedA
State Memory MCPPersistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.not reviewedEstablishedA