DeepSeek MCP Server vs Local RAG (shinpr)
Two MCP servers from our AI & ML ranking, compared on live data - updated nightly, never sponsored.
Bottom line · 2026-08-25
monthly package install counts are comparable (10,094 vs 13,923); both are actively maintained, with commits inside the last month.
How they differ in kind
DeepSeek MCP Server focuses on: Model Context Protocol server for the current DeepSeek V4 API. Local RAG (shinpr) focuses on: Search private documents from an MCP client or the terminal without sending them to an embedding API. Environment-variable extraction: DeepSeek MCP Server yielded 12 variables; Local RAG (shinpr) yielded 3 variables.
What each one does
DeepSeek MCP Server
Model Context Protocol server for the current DeepSeek V4 API. Its 6 documented tools cluster into read & search, create & write, completion, reset. It runs locally over stdio via the published package.
From the project's README.
Local RAG (shinpr)
Search private documents from an MCP client or the terminal without sending them to an embedding API. It runs locally over stdio via the published package.
From the project's README.
14 signals, side by side
| Signal | DeepSeek MCP Server | Local RAG (shinpr) |
|---|---|---|
| Monthly installs | 10,094 | 13,923 |
| GitHub stars | 350 | 371 |
| Last commit | 2026-08-19 | 2026-08-23 |
| Releases · last 90 days | 1 | 10+ |
| In the registry since | Feb 2026 | Oct 2025 |
| Registry versions | 1 | 47 |
| Documented tools | 6 | not extracted - see README |
| Env vars extracted | 12 | 3 |
| Runs | local (stdio) | local (stdio) |
| Endpoint auth | local only | local only |
| Maintenance | actively maintained | actively maintained |
| License | MIT | MIT |
| Language | TypeScript | TypeScript |
| Category rank | #2 of 95 | #1 of 95 |
What their tools cover
Extracted from each project's README - the tools each server hands your agent. A missing list means the README doesn't document one, not that no tools exist.
DeepSeek MCP Server 6 tools documented
create_response- Stateless native Responses API calls with text or structured input…completion- DeepSeek V4 Pro FIM completion. Defaults to deepseek-v4-pro.list_models- Reads the live DeepSeek model list.get_user_balance- Reads account balance and availability.reset_conversation- Clears an in-memory conversation.list_conversations- Lists in-memory conversation IDs.
Local RAG (shinpr) no tool list in README
Environment variables found in the READMEs
These are extracted names, not a requiredness check. Project docs may mark them optional or require other setup.
DeepSeek MCP Server
- DEEPSEEK_MCP_AUTH_TOKEN
- DEEPSEEK_API_KEY
- DEEPSEEK_BASE_URL
- DEEPSEEK_REQUEST_TIMEOUT_MS
- DEEPSEEK_DEFAULT_MODEL
- MCP_TRANSPORT
- MCP_HTTP_HOST
- MCP_HTTP_PORT
- MCP_HTTP_PATH
- MCP_HTTP_STATEFUL_SESSION
- MCP_HTTP_ALLOWED_ORIGINS
- CONVERSATION_MAX_MESSAGES
Local RAG (shinpr)
- BASE_DIR
- RAG_HYBRID_WEIGHT
- BASE_DIRS
Which one, for what
Derived from the signals above, not hands-on testing.
Pick DeepSeek MCP Server if…
- → its documented toolset fits - 6 tools including create_response, completion
- → category standing - #2 of 95 maintained AI & ML servers
Pick Local RAG (shinpr) if…
- → release velocity matters - 10+ releases in 90 days vs 1
- → measured package adoption matters - 13,923 monthly installs
Who's behind them
DeepSeek MCP Server - dmontgomery40: 1 MCP server tracked, 1 maintained, 350 combined stars.
Local RAG (shinpr) - shinpr: 3 MCP servers tracked, 3 maintained, 622 combined stars. Full record.
Not sold on either?
The next-ranked AI & ML servers we track:
Quick answers
Is DeepSeek MCP Server better than Local RAG (shinpr)?
The numbers don't separate them: 10,094 vs 13,923 monthly installs, and both committed within the last month. Choose on fit - execution model, extracted environment variables, endpoint authentication, and license are in the table above. Data as of 2026-08-25.
Can I use DeepSeek MCP Server and Local RAG (shinpr) together?
Yes - MCP clients accept multiple servers in one config, so you can enable both AI & ML servers side by side. If their tools overlap, keep the one whose toolset fits to keep your agent's tool list lean.
What environment variables do their READMEs document?
DeepSeek MCP Server: 12 environment variables extracted from the README setup; Local RAG (shinpr): 3 environment variables extracted from the README setup. Extraction does not rule out other authentication or configuration steps; check each project's current documentation.
Keep exploring: best AI & ML servers · TypeScript servers · all comparisons · every server
Methodology: package-usage signal = npm/PyPI installs (last month, platform APIs) · maintenance = commit recency + release cadence (GitHub) · tool lists and environment-variable names extracted from each project's README · endpoint auth from our own nightly probes. We haven't hand-tested these servers; everything here is data as of 2026-08-25.