Find Research Papers vs Filesystem
A side-by-side look at the Find Research Papers and Filesystem MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Find Research Papers for research work as a local process; choose Filesystem for file systems as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Find Research Papers when
- You need dedicated capabilities in the Research domain.
- You prefer a local stdio subprocess transport.
- You want tools like
search_papers, get_paper, get_research_method.
Choose Filesystem when
- You need dedicated capabilities in the File Systems domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
path, head, tail.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Research | File Systems |
| Quality signal | 59/100 · Good | 85/100 · Excellent |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Verified |
| GitHub stars | 6 | 91,526 |
| Directory activity | 3 views 0 installs 0 upvotes | 11 views 0 installs 0 upvotes |
| Tools | 7 | 17 |
| Full listing | View Find Research Papers | View Filesystem |
Tools & capabilities
Find Research Papers tools 7
search_papersSearch scholarly literature across multiple sources (arXiv, OpenAlex, Crossref, Semantic Scholar, PubMed)get_paperResolve one paper by identifier and return its metadata plus references (papers it cites) and citations (papers citing it) — works even for paywalled papersget_research_methodHouse method for using this server: tiers, rules, source quirks, and verification stepslist_sourcesList every scholarly source the server can search, with coverage, key requirements, and rate limitsskills_listList this server's skills (playbooks): guidance for interpreting results and recovering from errors. Fetch one with skill_readskill_readFetch the full content of one skill by name (see skills_list). Read 'interpreting-errors' whenever a tool returns an error or skipped sourcescheck_for_updatesCheck PyPI for newer versions of find-research-papers-mcp and get upgrade instructions.
Filesystem tools 17
pathheadtailpathscontenteditsoldTextnewTextdryRunsortBysourcedestination- +5 more on the listing page
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.
Find Research Papers
{
"mcpServers": {
"find-research-papers": {
"command": "uvx",
"args": [
"find-research-papers-mcp"
]
}
}
}
Filesystem
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem"
]
}
}
}
Frequently asked questions
Find Research Papers is categorized under Research and uses a local stdio subprocess. Filesystem belongs to File Systems and uses a local stdio subprocess. Pick Find Research Papers for research work and Filesystem for file systems.
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.
Find Research Papers has no declared pricing — check the project's own site. Filesystem is listed as free. Auth: no auth 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 find-research-papers and filesystem as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Find Research Papers has a quality signal of 59/100 (Good) with 3 views, 0 installs and 6 GitHub stars. Filesystem has 85/100 (Excellent) with 11 views, 0 installs and 91,526 GitHub stars.