Enables discovery, retrieval, summarization, comparison, methodology and limitation analysis, research gap identification, and local management of academic papers via arXiv and Gemini AI.
An offline MCP server that enables research tasks such as summarizing text, extracting key points, and saving/retrieving notes via a CLI client and stdio transport.
Generates peer comparison reports on emissions trends, reduction targets, and gaps for companies in a given SICS sector/sub-sector using live data from the Climate Data Utility (CDU).
A research assistant server that enables saving, organizing, and retrieving research content with semantic search using ChromaDB and OpenAI embeddings.
Provides access to FluentLab's funding database, enabling users to search for funding opportunities and retrieve document checklists required for specific funding programme applications.
Enables discovery of official DHS country, survey, and indicator metadata; retrieval of public aggregate estimates; assessment of comparison risks; and export of auditable CSV, JSON, Excel, or executable notebook bundles.
Enables AI assistants to query ClinicalTrials.gov and PubMed for research evidence, and to compare regulatory document changes against internal files, with strict read-only access and no ability to modify or export data.
Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.
Combines YouTube subtitle extraction, Wikipedia concept lookup, and arXiv paper search into one pipeline without any API keys, enabling generation of comprehensive study notes from a single YouTube URL.
Enables AI agents to look up any Louisiana statute, civil code, or procedure article by citation, returning full section text with enactment and amendment history parsed out. Also supports full-text topic search across the code bodies and browsing every section within a Revised Statutes title, keyless and sourced live from the Louisiana State Legislature.
A custom MCP server that enables AI assistants to perform comprehensive research tasks, including searching ArXiv, summarizing papers via Groq, managing local research notes, and pushing findings to GitHub.
This MCP server enables users to analyze personal reading and media streams by computing Shannon entropy, detecting Jaccard redundancy and echo chambers, and ranking content sources by decibel SNR to produce pruning recommendations and high-signal curation.
A Zotero library management MCP server designed for Cloudflare Workers that enables searching, reading, and writing library items. It allows users to manage metadata, full-text content, and attachments through natural language interactions.
A stock research MCP server that enables natural-language queries for market data, watchlist management, company analysis, and research note tracking, using FastMCP and Databricks Lakebase Postgres.
Enables Claude, ChatGPT and other OAuth-capable MCP clients to research Magic: The Gathering cards and Commander data, goldfish-simulate and compare decks, and read or edit a user's own Archidekt decks. Every user signs in with their own account, and deck changes only apply after that user approves the exact proposed diff, with all actions tied to the signed-in user and logged.
Description: AI-authored book and software reviews, plus news and data investigations with downloadable CSV datasets and an open response protocol. AI agents and humans can read content, analyze raw data, and respond through an open signal protocol. 9 tools, no auth.
Enables MCP clients such as Claude, Codex, Cursor, and OpenCode to search and retrieve news articles and clustered real-world events from roughly 150,000 sources worldwide, with tools for keyword/concept/location/date filtering, full-text lookup by URI or URL, entity name-to-URI resolution, token usage checks, and raw access to any newsapi.ai API endpoint. Results are returned as compact JSON to conserve context, and both local stdio and remote HTTP deployment are supported.
Answers questions about public tech companies’ AI-infrastructure spending using real SEC EDGAR filings, returning traceable values with sources and derivations. It also detects filing inconsistencies and can draft or file data-quality GitHub issues with supporting evidence.
Enables Claude to search, retrieve, and cite from your Zotero library, including local databases and zotero.org group libraries, with full-text PDF search and direct attachment access.
Provides eight SEO and AI-search workflows that run inside Claude and ChatGPT, covering Search Console auditing, traffic-drop diagnosis, keyword clustering, AI citation guidance, competitor gap analysis, content refresh, JSON-LD schema generation, and article drafting. Each workflow works from measured data rather than invented numbers and will push back on tactics Google's guidance says do not work.
An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and trigger the right next step.
Rigid forms cause drop-off, weaken qualification, and strip away context. Perspective uses adaptive AI to capture structured data and trigger automation, so you understand what truly matters to your customers and can make d
Automates competitive research for startup ideas by executing a 7-step pipeline including idea understanding, competitor discovery, profile extraction, feature comparison, market gap analysis, innovation scoring, and report generation.
Enables host assistants to discover and read the toolkit’s research methods over a local stdio MCP connection, supporting research planning, literature work, scientific reasoning, writing, figures, and academic document workflows. It does not itself search scholarly databases, generate research results, compile documents, or call models.
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.
Hosted open-source AI apps callable by agents over MCP, enabling multi-model comparisons with real metered costs and skills like PDF translation, deep research, slide generation, and direct model queries.
MCP server for semantic research: search arXiv, fetch papers, and answer questions grounded in the actual paper text via RAG tools, resources, and prompts.
Enables AI to save, organize, search, and synthesize research materials using a local vector database with support for both OpenAI and Ollama backends.
Enables AI-native statistical analysis and reproducible research workflows through MCP, including natural language planning, protocol-based analysis, Python/R cross-validation, and publication-ready figure generation.
Integrates with Orca AI's HUNT Platform API to search for information about people, companies, and entities, enabling AI assistants to access investigative intelligence and due diligence data.
Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.