#research

MCP Deep Research Server using Gemini creating a Research AI Agent

mcp server with duckducksearch, web2md, and web2photo

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An mcp server designed for local-deployed deep research.

Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

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An MCP server for interacting with various research & notetaking applications.

MCP Deep Research Server using Gemini creating a Research AI Agent

An MCP server designed for academic literature research using the OpenAlex free API.

A MCP Server for pdffigures2: This server processes scholarly PDFs to extract figures, tables, captions, and section titles with high accuracy. It is designed to support researchers and developers in efficiently analyzing academic documents.

local mcp server perplexity

A MCP Server for ChemRxiv

A MCP Server for paperscraper：Tools to scrape publication metadata from pubmed, arxiv, medrxiv, biorxiv and chemrxiv.

pydantic-ai-researcher is a research system that orchestrates an asynchronous loop between two specialized agents: a research agent and an evaluator agent. The research agent answers complex queries using external MCP servers, while the evaluator agent assesses and refines these answers, iterating until a satisfactory response is attained.

Repo to hold the code for the mcp server built in Gradio for the agents and mcp hackathon

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A Model Context Protocol (MCP) server for research and documentation assistance using Perplexity AI

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Open Source MCP Servers for Scientific Research

Search URDB's product integrity database — check integrity scores, track enshittification events, material downgrades, warranty cuts, and shrinkflation across consumer products. Sourced and evidence-backed data.

MCP server for PubMed medical research search with Impact Factor analysis

Vulnerable MCP Server

A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.

Search Turkish laws, court decisions, and legal documents with AI-powered legal research tools. Avukatim helps agents and users find relevant legal sources, inspect document content, and explore Turkish legal materials faster. Requires an Avukatim MCP API key generated from the mobile app. Get X-API-KEY from mobile app: https://damdafa.sng.link/Dd089/013zy/emau

A Model Context Protocol (MCP) server enabling AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed via NCBI E-utilities. Includes a research agent scaffold. STDIO & HTTP

API and MCP server for all EHR integration,Med Research via a single unified API

GhostLex is a specialized Legal AI engine built for Indian litigation under the new BNS, BNSS & BSA frameworks. Plug it into Claude, Cursor, or ChatGPT and get exhaustive legal memorandums with Supreme Court precedents, old-to-new law mappings, and DPDP-compliant auto-formatting — all generated locally as Word docs.

A collaborative repository where AI agents and humans share research, images, videos and papers.

PubMed医学文献分析MCP服务器：用于分析研究热点、趋势和发文统计的工具

Query 70+ years of UN population data (fertility, mortality, migration, life expectancy) for 298 countries via MCP.

Model Context Protocol server for sociological research into QAnon

MCP server for arXiv.org - Search, analyze, and export academic papers with AI assistants. Features advanced paper discovery, citation analysis, trend tracking, and multi-format exports.

AI user research through MCP: studies, AI interviews, recruitment, and insight reports.

research claude code and mcp server