A side-by-side look at the Infranodus MCP Server Infranodus and Zenodo MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Infranodus MCP Server Infranodus for research work as a local process; choose Zenodo for research as a local process. You can also run both side by side in one mcpServers block.
generate_knowledge_graph, create_knowledge_graph, generate_ontology_graph.search, record, record_files.Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Research | Research |
| Quality signal | 65/100 · Great | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | API key required | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 102 | 0 |
| Directory activity | 4 views 0 installs 0 upvotes | 2 views 0 installs 0 upvotes |
| Tools | 40 | 5 |
| Full listing | View Infranodus MCP Server Infranodus | View Zenodo |
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 entityanalyze_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 togenerate_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.searchSearch Zenodo open-research repository for datasets, publications, software, and other research outputs by keyword query. Filterable by type, community, and sort order (mostrecent/bestmatch/mostviewed); returns metadata, DOI, and file links.recordSingle record by Zenodo id.record_filesList files attached to a Zenodo record by its numeric id. Returns file names, sizes, checksums, and direct download URLs.communitiesList or search Zenodo communities (thematic collections of records) by optional keyword query; returns community id, title, description, and record count.community_recordsFetch paginated records belonging to a Zenodo community by its slug id (e.g. "openaire"). Returns record metadata, DOIs, and file links for all items in the community.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.
{
"mcpServers": {
"infranodus-mcp-server-infranodus": {
"command": "npx",
"args": [
"-y",
"infranodus-mcp-server"
]
}
}
}
{
"mcpServers": {
"zenodo": {
"command": "npx",
"args": [
"-y",
"@pipeworx/mcp-zenodo"
]
}
}
}