Orcid MCP Server vs Infranodus MCP Server Infranodus

A side-by-side look at the Orcid MCP Server 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.

Orcid MCP Server logoOrcid MCP ServerResearchResearcher profiles, works, affiliations, funding, and peer reviews from the ORCID registry.49FairAuth: no auth requiredInfranodus 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 Orcid MCP Server for research work; 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?

Orcid MCP Server logoChoose Orcid MCP Server when

  • You need dedicated capabilities in the Research domain.
  • Its auth model fits you: No auth required.
  • You want tools like orcid_search_researchers, orcid_get_profile, orcid_get_works.
Explore Orcid MCP Server

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.

SpecOrcid MCP Server logoOrcid MCP ServerInfranodus MCP Server Infranodus logoInfranodus MCP Server Infranodus
CategoryResearchResearch
Quality signal49/100 · Fair69/100 · Great
Install commandNot confirmed yetConfirmed
Transport—Local subprocess (stdio)
AuthNo auth requiredAPI key required
PricingFreeNot declared
Required env varsNone listedNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars5104
Directory activity 1 views 0 installs 0 upvotes 5 views 0 installs 0 upvotes
Tools940

Tools & capabilities

Orcid MCP Server tools 9

  • orcid_search_researchersSearch the ORCID registry using structured field params (name, affiliation, keyword, ROR ID, DOI, PMID, grant number)
  • orcid_get_profileFetch a researcher's public profile — name, other names, biography, keywords, researcher URLs, external identifiers
  • orcid_get_worksRetrieve works (publications, datasets, software, preprints) for a researcher, paginated
  • orcid_get_work_detailAccept up to 1,000 put-codes, fetch the first 100 distinct works, and return deferred codes for continuation
  • orcid_get_affiliationsFetch affiliation records: employment, education, memberships, and more
  • orcid_get_fundingFetch funding records: grants, contracts, awards, and salary awards
  • orcid_get_peer_reviewsFetch peer review activity: convening organizations, reviewer role, review type
  • orcid_get_research_resourcesList research resources — compute allocations, equipment access, lab facilities
  • orcid_resolve_researcherDisambiguate an ambiguous author name to a ranked list of verified ORCID iD candidates

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.

Orcid MCP Server

No confirmed install command for Orcid MCP Server yet — follow the setup steps linked from its listing page rather than a guessed package name.

Infranodus MCP Server Infranodus

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

Frequently asked questions

Orcid MCP Server is categorized under Research and uses an install path we have not confirmed yet. Infranodus MCP Server Infranodus belongs to Research and uses a local stdio subprocess. Pick Orcid MCP Server 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. Orcid MCP Server has no confirmed install command yet — follow its own setup instructions.

Orcid MCP Server is listed as free. Auth: no auth required. 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 orcid-mcp-server and infranodus-mcp-server-infranodus as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Orcid MCP Server has a quality signal of 49/100 (Fair) with 1 views, 0 installs and 5 GitHub stars. Infranodus MCP Server Infranodus has 69/100 (Great) with 5 views, 0 installs and 104 GitHub stars.