Find Research Papers vs Infranodus MCP Server Infranodus

A side-by-side look at the Find Research Papers and Infranodus MCP Server Infranodus MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Find Research Papers logoFind Research PapersResearch · Local subprocess (stdio)Search open-source research papers across arXiv, OpenAlex, Crossref, PubMed, Semantic Scholar.59GoodAuth: not declaredInfranodus MCP Server Infranodus logoInfranodus MCP Server InfranodusResearch · Local subprocess (stdio)Map text into knowledge graphs to create a structured representation of conceptual relations and t…69GreatAuth: api key required

Verdict: choose Find Research Papers for research work as a local process; choose Infranodus MCP Server Infranodus for research as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Find Research Papers logoChoose 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.
Explore Find Research Papers

Infranodus MCP Server Infranodus logoChoose Infranodus MCP Server Infranodus 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 want tools like generate_knowledge_graph, create_knowledge_graph, generate_ontology_graph.
Explore Infranodus MCP Server Infranodus

Feature & specification comparison

Rows where the two servers differ are marked.

SpecFind Research Papers logoFind Research PapersInfranodus MCP Server Infranodus logoInfranodus MCP Server Infranodus
CategoryResearchResearch
Quality signal59/100 · Good69/100 · Great
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthNot declaredAPI key required
PricingNot declaredNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars6104
Directory activity 2 views 0 installs 0 upvotes 5 views 0 installs 0 upvotes
Tools740

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 papers
  • get_research_methodHouse method for using this server: tiers, rules, source quirks, and verification steps
  • list_sourcesList every scholarly source the server can search, with coverage, key requirements, and rate limits
  • skills_listList this server's skills (playbooks): guidance for interpreting results and recovering from errors. Fetch one with skill_read
  • skill_readFetch the full content of one skill by name (see skills_list). Read 'interpreting-errors' whenever a tool returns an error or skipped sources
  • check_for_updatesCheck PyPI for newer versions of find-research-papers-mcp and get upgrade instructions.

Infranodus MCP Server Infranodus tools 40

  • generate_knowledge_graphGenerate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structural gaps. Only use when explicitly asked to analyze a text or generate a knowledge graph. Do not use for short clarifying questions that you already have an answer to from the context of the conversation.
  • create_knowledge_graphCreate a knowledge graph in InfraNodus from text or from a URL, save it, and provide its name and a link to it for future use.
  • generate_ontology_graphUse AI to generate a reasoning ontology knowledge graph (entities and the relations between them) and optionally save it as a InfraNodus graph. Three sources, provide exactly one: prompt (a topic — one AI call), text (a long document or a structural digest of a project, chunked server-side), or sourceGraphName (an existing graph — e.g. a fully ingested repo, vault, or corpus — whose statements are read back, chunked, and condensed into an ontology). Set ontologyMode: 'codebase' for software projects, or 'procedural' to write a DIGEST of how the project works (prose statements with [[wikilinks]], not relation triples) from an already-uploaded graph — save it as <repo|vault>-<project>-digest for optimize_knowledge_base. Use to get a rich overview, a reasoning map of a topic, or a condensed 'how it fits together' graph of a large corpus.
  • memory_add_relationsAdd relations to the InfraNodus memory from text, save it, and provide its name and a link to it for future use.
  • memory_get_relationsProvide a list of relations from the InfraNodus memory for a given concept or entity
  • analyze_existing_graph_by_nameExtract and analyze the content of an existing InfraNodus graph from your account.
  • analyze_textExtract and analyze a graph from text, URL, YouTube video transcript, or an existing InfraNodus graph.
  • generate_content_gapsGenerate content gaps from text, URL, or an existing graph using knowledge graph analysis.
  • generate_topical_clustersGenerate topics and clusters of keywords from text, URL, or an existing graph using knowledge graph analysis.
  • generate_research_questionsAnalyze text or an existing graph and generate innovative research questions based on the content gaps identified between the topical clusters. Provide either text, url, or graphName. Can be used to improve the text and the discourse it relates to
  • generate_research_ideasAnalyze text or an existing graph and generate innovative research ideas based on the content gaps identified between the topical clusters inside the text that can be used to improve the text and the discourse it relates to.
  • generate_responses_from_graphUse text, URL, or an existing InfraNodus knowledge graph and generate responses and expert advice based on a prompt provided.
  • +28 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 (Claude Desktop / Cursor)
{
  "mcpServers": {
    "find-research-papers": {
      "command": "uvx",
      "args": [
        "find-research-papers-mcp"
      ]
    }
  }
}

Infranodus MCP Server Infranodus

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "infranodus-mcp-server-infranodus": {
      "command": "npx",
      "args": [
        "-y",
        "infranodus-mcp-server"
      ]
    }
  }
}

Frequently asked questions

Find Research Papers is categorized under Research and uses a local stdio subprocess. Infranodus MCP Server Infranodus belongs to Research and uses a local stdio subprocess. Pick Find Research Papers for research work and Infranodus MCP Server Infranodus 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.

Find Research Papers has no declared pricing — check the project's own site. Infranodus MCP Server Infranodus has no declared pricing — check the project's own site. 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 find-research-papers and infranodus-mcp-server-infranodus 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 2 views, 0 installs and 6 GitHub stars. Infranodus MCP Server Infranodus has 69/100 (Great) with 5 views, 0 installs and 104 GitHub stars.