18,186 MCP servers crawled across 12 categories. 164 deterministic detection rules. Evidence chains, not vibes.
Provide fast and efficient search access to Prisma Cloud's official documentation and API references. Enable seamless querying and indexing of Prisma Cloud docs to enhance your knowledge discovery. Improve your workflow with real-time indexing and cached search results for better performance.
MCP server providing search access to Prisma Cloud documentation
The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, multi-agent Hivemind and visual dashboard. Zero API keys required.
The Mind Palace for AI Agents - local-first MCP server with persistent memory, visual dashboard, time travel, multi-agent sync, and zero-config SQLite storage. Works with Claude Desktop, Cursor, Windsurf, and any MCP client.
Combines Google Custom Search, Apollo.io, and Proxycurl APIs with OpenAI-powered query generation to systematically discover LinkedIn profiles, extract detailed professional data including contact information, and build enriched databases for lead generation, recruitment research, and market analysis.
MCP server con inteligencia de proyecto para Next.js + Prisma. Setup interactivo con OpenSpec, Engram, Skills comunitarios y Guardian Angel.
MCP Server for French B2B Intelligence — 9 tools: company & prospect search, signals, tenders, enrichment, SQL queries, ICP scoring. 12M+ companies.
Repository for self-paced learning workshop on building agents using Databricks
A comprehensive Model Context Protocol (MCP) server for accessing the PubChem chemical database. This server provides access to over 110 million chemical compounds with extensive molecular properties, bioassay data, and chemical informatics tools.
An MCP server for PubChem database using PubChemPy.
Integrates with PubMed's biomedical literature database to search academic papers, retrieve detailed metadata and abstracts, generate formatted citations in multiple styles, and track citation metrics for research and literature review workflows.
a proactive security and stability guardrail for your AI coding agents (Claude Code, Cursor, Antigravity, etc.). It prevents production breakages by confronting proposed code changes with a massive, real-time database of global incidents, edge cases, and security breaches.
Collaborative learning database for AI agents. Search, submit, and vote on solutions via MCP.
Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context — all on Pydantic AI.
MCP server for read-only SQL Server access via Windows Authentication
<p align="center"> <img src="https://img.shields.io/badge/MCP-Server-blueviolet?style=for-the-badge&logo=anthropic" alt="MCP Server" /> <img src="https://img.shields.io/badge/Python-3.10+-3776AB?style=for-the-badge&logo=python&logoColor=white" alt="Python" /> <img src="https://img.shields.io/badge/APA_7-Compliant-success?style=for-the-badge" alt="APA 7" /> <img src="https://img.shields.io/badge/License-MIT-yellow?style=for-the-badge" alt="License" /> </p> <h1 align="center">🎓 Q1 Crafter MCP</h1> <p align="center"> <strong>Academic Research MCP Server for Claude Desktop</strong><br/> Automates the full research cycle — from source discovery across 18 databases<br/> to Q1-quality, APA 7-formatted <code>.docx</code> output. </p> <p align="center"> <a href="#-features">Features</a> • <a href="#-quick-start">Quick Start</a> • <a href="#%EF%B8%8F-claude-desktop-setup">Claude Desktop</a> • <a href="#-available-tools">Tools</a> • <a href="#-supported-sources">Sources</a> • <a href="#-contributing">Contributing</a> </p> --- ## ✨ Features | Category | Highlights | |----------|-----------| | 🔍 **Multi-Source Search** | Query **18 academic APIs** in parallel with smart field-based routing | | 🔄 **Intelligent Dedup** | Two-phase deduplication: exact DOI match → fuzzy title (92% Levenshtein) | | 🇹🇷 **Turkish Sources** | Native support for TR Dizin, DergiPark (OAI-PMH), YÖK Tez Merkezi | | 📊 **Literature Analysis** | Gap detection, keyword extraction (TF-IDF), citation validation | | 📈 **Visualizations** | Publication trends, source distribution, citation network (Mermaid) | | 📝 **APA 7 Engine** | Full citation formatter — handles 1/2/3+/20+ author rules, DOI formatting | | 📄 **DOCX Generator** | One-click manuscript generation with title page, sections, references | | ⚡ **Zero Config** | Free sources work instantly; paid APIs activate when keys are provided | --- ## 🚀 Quick Start ### Installation ```bash pip install q1-crafter-mcp ``` ### Configuration ```bash # Copy the example env file cp .env.example .env # Add your API keys (optional — free sources work without any keys!) # Edit .env and fill in the keys you have ``` ### Run ```bash q1-crafter-mcp ``` --- ## 🖥️ Claude Desktop Setup Add to your Claude Desktop configuration file: <details> <summary><strong>📋 Windows</strong> — <code>%APPDATA%\Claude\claude_desktop_config.json</code></summary> ```json { "mcpServers": { "q1-crafter": { "command": "q1-crafter-mcp", "env": { "SCOPUS_API_KEY": "your-scopus-key", "IEEE_API_KEY": "your-ieee-key", "SPRINGER_API_KEY": "your-springer-key", "NCBI_API_KEY": "your-pubmed-key", "UNPAYWALL_EMAIL": "your-email@example.com" } } } } ``` </details> <details> <summary><strong>📋 macOS</strong> — <code>~/Library/Application Support/Claude/claude_desktop_config.json</code></summary> ```json { "mcpServers": { "q1-crafter": { "command": "q1-crafter-mcp", "env": { "SCOPUS_API_KEY": "your-scopus-key", "IEEE_API_KEY": "your-ieee-key", "SPRINGER_API_KEY": "your-springer-key" } } } } ``` </details> > **💡 Tip:** You don't need all API keys! Free sources (arXiv, CrossRef, OpenAlex, PubMed, etc.) work out of the box. Add paid keys to unlock more databases. --- ## 🛠 Available Tools ### 🔍 Search Tools | Tool | Description | |------|-------------| | `search_academic` | Search up to 18 databases in parallel with smart routing | | `search_by_doi` | Look up any paper by its DOI | | `search_citations` | Find all papers that cite a given work | | `search_references` | Get the reference list of a paper | ### 📊 Analysis Tools | Tool | Description | |------|-------------| | `analyze_literature` | Identify research gaps, themes, trends, and top-cited papers | | `validate_citations` | Bidirectional check: in-text citations ↔ reference list | | `extract_keywords` | TF-IDF keyword extraction with bigram support | ### 📈 Visualization Tools | Tool | Description | |------|-------------| | `generate_comparison_table` | Paper comparison tables (Markdown, CSV, APA format) | | `generate_trend_chart` | Publication trend charts (base64 PNG, dark theme) | | `generate_citation_network` | Citation network visualization (Mermaid diagram) | ### 📝 Output Tools | Tool | Description | |------|-------------| | `write_section` | Academic section scaffolding with IMRaD templates | | `format_references_apa7` | APA 7th edition reference list formatter | | `build_docx` | Generate formatted `.docx` manuscript | | `check_api_status` | Check which API sources are available | --- ## 🌐 Supported Sources <table> <tr> <th>🆓 Free (No Key)</th> <th>🔑 Free (Key Required)</th> <th>🏛️ Institutional</th> <th>🇹🇷 Turkish</th> </tr> <tr> <td> - arXiv - CrossRef - OpenAlex - Europe PMC - DOAJ - BASE </td> <td> - Semantic Scholar - PubMed (NCBI) - CORE - Unpaywall </td> <td> - Scopus (Elsevier) - Web of Science - IEEE Xplore - Springer Nature - ScienceDirect - Dimensions </td> <td> - TR Dizin - DergiPark (OAI-PMH) - YÖK Tez Merkezi </td> </tr> </table> --- ## 🏗 Architecture ``` q1-crafter-mcp/ ├── src/q1_crafter_mcp/ │ ├── server.py # MCP server + 14 tool registrations │ ├── config.py # Settings & API key management │ ├── models.py # Pydantic data models │ └── tools/ │ ├── search/ # 18 API clients + aggregator + dedup │ ├── analysis/ # Gap analyzer, keywords, summarizer │ ├── visualization/ # Charts, tables, citation network │ └── output/ # APA formatter, section writer, DOCX ├── tests/ # 120 unit tests ├── pyproject.toml └── .env.example ``` ### How It Works ```mermaid graph LR A[Claude Desktop] -->|MCP| B[Q1 Crafter Server] B --> C[🔍 Search 18 APIs] C --> D[🔄 Deduplicate] D --> E[📊 Analyze] E --> F[📈 Visualize] E --> G[📝 APA 7 Format] G --> H[📄 .docx Output] ``` 1. **Search** — Queries up to 18 databases in parallel, routes by field (medicine → PubMed, CS → Semantic Scholar) 2. **Deduplicate** — Removes duplicates via exact DOI + fuzzy title matching (92% threshold) 3. **Analyze** — Identifies themes, gaps, trends, and extracts keywords 4. **Visualize** — Generates charts, tables, and citation networks 5. **Format** — Applies APA 7th edition rules for citations and references 6. **Output** — Assembles everything into a formatted `.docx` manuscript --- ## 📖 Usage Example Just ask Claude naturally: > 🗣 *"Search for papers about machine learning in drug discovery from 2020-2024, analyze the results, and generate a literature review section with APA 7 citations."* Claude will automatically: 1. Search across available databases 2. Deduplicate and rank results 3. Analyze themes and identify gaps 4. Generate formatted citations 5. Write a structured section with proper references --- ## 🔑 API Key Setup | Source | How to Get Key | Cost | |--------|---------------|------| | Semantic Scholar | [semanticscholar.org/product/api](https://www.semanticscholar.org/product/api) | Free | | PubMed (NCBI) | [ncbi.nlm.nih.gov/account](https://www.ncbi.nlm.nih.gov/account/) | Free | | CORE | [core.ac.uk/services/api](https://core.ac.uk/services/api) | Free | | Scopus | [dev.elsevier.com](https://dev.elsevier.com/) | Institutional | | IEEE Xplore | [developer.ieee.org](https://developer.ieee.org/) | Paid | | Springer | [dev.springernature.com](https://dev.springernature.com/) | Free tier | | Dimensions | [dimensions.ai](https://www.dimensions.ai/scientometric-research/) | Free for research | --- ## 🧪 Development ```bash # Clone the repo git clone https://github.com/ZaEyAsa/q1-crafter-mcp.git cd q1-crafter-mcp # Install with dev dependencies pip install -e ".[dev]" # Run tests pytest # Lint ruff check src/ ``` --- ## 📊 Test Coverage | Module | Tests | What's Covered | |--------|-------|----------------| | Models | 15 | Paper, Author, SearchConfig, serialization | | APA Formatter | 18 | In-text, references, ordering, Turkish chars | | Config | 10 | Source availability, key management | | Dedup | 9 | DOI match, fuzzy title, metadata richness | | Analysis | 18 | Gap analysis, keywords, summarizer, citations | | Visualization | 17 | Charts, tables, citation networks | | Output | 12 | Section writer, DOCX generator | | Search Base | 7 | Client lifecycle, safe_search | | **Total** | **120** | **All passing ✅** | --- ## 📄 License MIT © [ZaEyAsa](https://github.com/ZaEyAsa) --- <p align="center"> <strong>Built with ❤️ for researchers who deserve better tools.</strong><br/> <sub>If this helps your research, give it a ⭐ on GitHub!</sub> </p>
MCP server for reading LlamaIndex documents stored in Qdrant vector database
A Model Context Protocol (MCP) server that provides RAG capabilities to Cursor using Qdrant.
A Model Context Protocol (MCP) server for Qdrant vector database with semantic search capabilities
Connects AI systems to Qdrant vector databases for semantic search using OpenAI embeddings, enabling contextual document retrieval and knowledge base querying.
Conversation memory and workspace management MCP server for Amazon Q CLI with SQLite + FTS5 storage and real-time sync
Graph memory for AI agents — context engine for OpenClaw + MCP server for Claude Code/Claude.ai. Powered by SurrealDB.
Blazing-fast Data-Wrangling toolkit
InterSystems IRIS MCP Server!
Safe, read-only Postgres and MySQL access for AI agents. Audit log + column-level controls.