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501,010 tools. Updated 2026-08-31 20:20

"A server for assisting researchers in novel discovery and document analysis" matching MCP tools:

  • Retrieve the canonical machine discovery document for CAI, including scope, methodology version, endpoint links, and Score/Confidence semantics.
    MIT
  • Visualise cross-reference results as a colour-coded map: green for matches, amber for near misses, red for novel findings, grey for known assets.
    Apache 2.0
  • Scans a project directory for API endpoints from client calls and server routes, then generates a discovery report and endpoints.json.
    MIT
  • Search across researchers for papers, datasets, or repositories using keywords to find relevant academic resources in a federated network.
    MIT
  • Identifies active researchers on a given gene target and reveals other targets they have recently published on, weighted by recency, to map talent migration signals for drug discovery.
    Apache 2.0

Matching MCP Servers

  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
    4

Matching MCP Connectors

  • Generates a structured invention disclosure by analyzing your technical description to identify novel contributions, claim candidates, and prior art considerations for patent protection.
    MIT
  • Find researchers in OpenAlex using name, institution, ORCID, or citation count filters. Get their ID, h-index, works count, and current affiliation.
    MIT
  • Opens a file in the LSP server for analysis, enabling diagnostics, hover information, and completions. Use before querying these features for a specific document.
    MIT
  • Identify university researchers linked to a topic via matching works, ranked by publication count and citations. Specify institution and get a ranked list of researchers.
    MIT
  • Generate novel ideas for any challenge using creative frameworks like SCAMPER and Design Thinking, with domain context and feasibility analysis. Refine concepts through iterative clustering and constraint handling.
    MIT
  • Retrieve the structured block tree of a Feishu document, including block types, content, and hierarchy, for precise document analysis.
    MIT
  • Retrieves community assessments from AttackerKB for a given CVE, providing attacker value, exploitability ratings, and Rapid7 analysis to aid vulnerability prioritization.
    MIT
  • Retrieve the GeoTap API discovery document to access a structured overview of all available data sources and capabilities for environmental data from 80+ US federal sources.
    MIT
  • Find academic researchers by name, field, or institution. Retrieve Google Scholar profiles including publications and citation metrics.
    MIT
  • Complete TLS/SSL analysis: handshake probe, JARM fingerprint, certificate inspection, JA4X, cipher suites, SNI, cross-referencing, and CT subdomain discovery in a single call.
    AGPL 3.0
  • Generate novel ideas by applying creative frameworks (SCAMPER, Design Thinking) with domain context, idea clustering, feasibility analysis, and iterative refinement. Supports Gemini, Codex, and Claude.
    MIT