Airweave Search vs DeepSeek MCP Server
Two MCP servers from our AI & ML ranking, compared on live data - updated nightly, never sponsored.
Bottom line · 2026-08-25
DeepSeek MCP Server records more monthly package installs (10,094 vs 6,559); DeepSeek MCP Server is maintained more actively (last commit 2026-08-19 vs 2026-06-05).
How they differ in kind
Airweave Search focuses on: Open-source context retrieval layer for AI agents and RAG systems. DeepSeek MCP Server focuses on: Model Context Protocol server for the current DeepSeek V4 API. Airweave Search offers a remote endpoint; DeepSeek MCP Server is local stdio. Environment-variable extraction: Airweave Search yielded no variables extracted; DeepSeek MCP Server yielded 12 variables. Implementation languages differ (Python vs TypeScript).
What each one does
Airweave Search
Open-source context retrieval layer for AI agents and RAG systems. Airweave connects to your apps, tools, and databases, continuously syncs their data, and exposes it through a unified, LLM-friendly search interface. AI agents query Airweave to retrieve relevant, grounded, up-to-date context from multiple sources in a single request.
From the project's README.
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.
14 signals, side by side
| Signal | Airweave Search | DeepSeek MCP Server |
|---|---|---|
| Monthly installs | 6,559 | 10,094 |
| GitHub stars | 6,564 | 350 |
| Last commit | 2026-06-05 | 2026-08-19 |
| Releases · last 90 days | 2 | 1 |
| In the registry since | Feb 2026 | Feb 2026 |
| Registry versions | 72 | 1 |
| Documented tools | not extracted - see README | 6 |
| Env vars extracted | none extracted - see README | 12 |
| Runs | local or remote | local (stdio) |
| Endpoint auth | yes (verified) | local only |
| Maintenance | actively maintained | actively maintained |
| License | MIT | MIT |
| Language | Python | TypeScript |
| Category rank | #3 of 95 | #2 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.
Airweave Search no tool list in README
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.
Environment variables found in the READMEs
These are extracted names, not a requiredness check. Project docs may mark them optional or require other setup.
Airweave Search
No environment variables were extracted from the README setup. Check the project documentation for other authentication or configuration steps.
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
Which one, for what
Derived from the signals above, not hands-on testing.
Pick Airweave Search if…
- → you want a hosted endpoint instead of running a local process
- → you prefer a Python codebase to extend or audit
Pick DeepSeek MCP Server if…
- → you prefer a TypeScript codebase to extend or audit
- → its documented toolset fits - 6 tools including create_response, completion
Who's behind them
Airweave Search - airweave-ai: 1 MCP server tracked, 1 maintained, 6,564 combined stars.
DeepSeek MCP Server - dmontgomery40: 1 MCP server tracked, 1 maintained, 350 combined stars.
Not sold on either?
The next-ranked AI & ML servers we track:
Quick answers
Is Airweave Search better than DeepSeek MCP Server?
Package installs favor DeepSeek MCP Server: 10,094 monthly installs to 6,559. Airweave Search still ranks #3 of 95 maintained AI & ML servers. Data as of 2026-08-25; we haven't hands-on tested either.
Can I use Airweave Search and DeepSeek MCP Server 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?
Airweave Search: no environment variables extracted from the README setup; DeepSeek MCP Server: 12 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 · Python 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.