Doaj vs Science AI MCP Server
A side-by-side look at the Doaj and Science AI MCP Server MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Doaj for research work as a local process; choose Science AI MCP Server for research as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Doaj when
- You need dedicated capabilities in the Research domain.
- You prefer a local stdio subprocess transport.
Choose Science AI MCP Server when
- You need dedicated capabilities in the Research domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
SCIENCE_AI_API_KEY, SCIENCE_AI_BASE_URL. - You want tools like
pre_check_paper, check_duplicate_publication, recommend_journals.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Research | Research |
| Quality signal | 40/100 · Fair | 60/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | API key required |
| Pricing | Not declared | Freemium |
| Required env vars | None listed | SCIENCE_AI_API_KEY |
Tools & capabilities
Doaj tools
No tool names declared yet. Check the project README from the listing page.
Science AI MCP Server tools 6
pre_check_paperTier 1-5 acceptance probability from title + abstract (local FTS5, no LLM)check_duplicate_publicationCross-reference against CrossRef + arXiv + medRxiv + bioRxiv + Unpaywall + a 900k-paper libraryrecommend_journalsRanked target journals from a 1,214-venue index, with predatory-journal flagsfind_research_gapsSynthesised gaps + most-cited + most-recent papers around your queryai_review_paperSingle-agent AI peer-review pass on a prepared promptstart_writer_pipelineDrive the Article Writer pipeline from outside the wizard
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Doaj
{
"mcpServers": {
"doaj": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-doaj"
]
}
}
}
Science AI MCP Server
{
"mcpServers": {
"selfpy-science-ai-mcp-server": {
"command": "npx",
"args": [
"-y",
"science-ai-mcp-server"
],
"env": {
"SCIENCE_AI_API_KEY": "YOUR_SCIENCE_AI_API_KEY_HERE",
"SCIENCE_AI_BASE_URL": "YOUR_SCIENCE_AI_BASE_URL_HERE"
}
}
}
}
Frequently asked questions
Doaj is categorized under Research and uses a local stdio subprocess. Science AI MCP Server belongs to Research and uses a local stdio subprocess. Pick Doaj for research work and Science AI MCP Server for research.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Doaj has no declared pricing — check the project's own site. Science AI MCP Server is listed as freemium — a free tier with paid plans. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add doaj and selfpy-science-ai-mcp-server as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Doaj has a quality signal of 40/100 (Fair) with 0 views, 0 installs and 0 GitHub stars. Science AI MCP Server has 60/100 (Good) with 7 views, 0 installs and 1 GitHub stars.