"Network Requests" matching MCP servers:

Enables querying and exporting phenology data from the USA National Phenology Network, including raw data, phenometrics, and mapping capabilities.

Enables searching, extracting, and analyzing over 2.4 million arXiv papers, with PDF extraction via GROBID and citation network building through Semantic Scholar integration.

Open corporate carbon emissions data for AI agents. Search companies and retrieve Scope 1, 2 and 3 disclosure history, Mycelium and Transparency scores, and per-scope figures with reported-vs-estimated provenance on every line.

Enables comprehensive academic research through the Semantic Scholar API, including paper search, author discovery, citation network analysis, and full-text access from arXiv and Wiley sources.

Enables traceable research workflows by searching uploaded sources, verifying citations, routing uncertain or high-risk requests to human review, and streaming answers with an audit trail.

An MCP server that lets an AI assistant drive Epistemic Network Analysis models hosted on the webENA cloud service, enabling project listing, model running, and result visualization.

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

Enables AI agents to query LinkedIn-adjacent company and employee data from Coresignal via MCP, supporting natural language requests through the Pipeworx gateway.

Enables generation of various chart types (bar, line, pie, scatter, radar, heatmap, and more) using ECharts library, returning preview URLs to visualize data through natural language requests.

Enables AI agents to search scholarly works, authors, institutions, venues, and concepts, retrieve detailed metadata, and explore citation networks through natural-language requests.

Premium research articles for AI agents with x402 payment on Base network.

A deterministic read on Hacker News developer sentiment for any brand, tool, or library, exposing four MCP tools for sentiment summary, mention search, feature requests, and trending discussions.

Enables querying OpenDRIVE road network files through structured MCP tools for summarizing maps, listing roads and lanes, converting coordinates, and validating files.

Enables MCP clients to locally verify nomue Protocol Release 1 Welch Records, performing scoped structural, digest, admissibility, computability, and two-sided Welch recomputation checks over stdio without requiring accounts, API keys, or network access.

Verifies claims with verdicts (supported/disputed/unverifiable), confidence scores, and cited sources by cross-referencing FoundryNet Data Network and web search.

Provides read-only, offline MCP tools to find papers' own code, method chains, and evidence boundaries from a curated knowledge bundle, without executing candidate code or contacting the network.

Enables Claude LLM to run HotSpot atmospheric dispersion simulations via natural language requests, supporting multiple release models and returning parsed results.

Unified MCP server for Chinese stock market data that batches multiple data requests (news, insider trading, financials, historical K-line, etc.) into a single call.

Enables analysis of academic author networks and research collaborations by retrieving co-authors and research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar.

Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.