#intelligence

AI-powered code search MCP server using Exa API for intelligent code search and retrieval in AI assistants

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.

Mirror of

Database interaction and business intelligence capabilities

A Model Context Protocol (MCP) server for Python package intelligence, providing structured queries for PyPI packages and GitHub repositories. Features include dependency analysis, version tracking, and package metadata retrieval for LLM interactions.

helps you check IP reputations and supports direct subscription to complete malicious IP databases homepage: https://safepoint.cloud/landing/intelligence

AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.

A Model Context Protocol (MCP) server for stock traders

CodeConductor IDE Orchestrator gives Claude Desktop full access to your development environment through a secure MCP server. It connects Claude to your VS Code workspace, enabling real file operations, code navigation, Git workflows, and automated development tasks. The server exposes 24 IDE tools, including: File operations — open, read, write, list, search Code intelligence — go to definition, find references, diagnostics Git automation — status, diff, stage, commit, push (Pro) Command execution — run terminal commands safely (Pro) Command Execution Safety: Pro users can run commands through Claude, but everything is protected by a three-tier safety system. Safe commands run automatically, while higher-risk commands require explicit confirmation and are screened for dangerous patterns. This prevents accidental damage and blocks command injection attempts. All operations run locally on your machine, never transmit code, and follow a tier-based permission system (Free vs Pro). Requires the CodeConductor VS Code extension to function. This orchestrator turns Claude into a capable, controlled development assistant that operates directly inside your real project.

Desktop application for managing Model Context Protocol servers (MCP). Provides a centralized interface to configure and manage MCP servers for use with LLMs and AI assistants such as Claude.

📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

A comprehensive **Model Context Protocol (MCP)** server for market sizing analysis, TAM/SAM calculations, and industry research. Built with TypeScript, Express.js, and following the MCP 2024-11-05 specification.

An MCP server enabling AI assistants to search and analyze pharmaceutical data through Cortellis. Features comprehensive drug search and ontology exploration.

MCP server for Threat info collection in cyber security

A Model Context Protocol (MCP) server that provides tools, prompts, and resources to interact with and manage Azure resources

MCP server for ORKL Threat Intelligence Library

ClickUp MCP Server - Integrate ClickUp task management with AI through Model Context Protocol

API Market MCP Servers

Claude 3.7 Swarm with Field Coherence: A Model Context Protocol (MCP) server that orchestrates multiple specialized Claude 3.7 Sonnet instances in a quantum-inspired swarm. It creates a field coherence effect across pattern recognition, information theory, and reasoning specialists to produce optimally coherent responses from ensemble intelligence.

Real-time AI behavioral drift monitoring. 37 tools tracking 11 LLM models with 9-score scorecards, silent version change detection, immune threat assessment, and compliance reporting. Free tier, no API key required.

Fast MCP integration for NetworksDB API - Query IP addresses, organizations, ASNs, and DNS records using natural language through Model Context Protocol

🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥

AlienVault/USM Anywhere MCP Server - Threat intelligence and security monitoring

Zerodha MCP Server & Client (Kite x Agno)

A GitHub Actions integration powered by the MCP. This server exposes structured tools to manage GitHub issues, pull requests, and repositories through natural language interfaces and autonomous agents.

OmniMind: An open-source Python library for effortless MCP (Model Context Protocol) integration, AI Agents, AI workflows, and AI Automations. Plug & Play AI Tools for MCP Servers and Clients, powered by Google Gemini.

A Model Context Protocol (MCP) server that integrates with the MISP (Malware Information Sharing Platform) to provide threat intelligence capabilities to Large Language Models.

Modular server for handling MCP protocol

Things related to artificial intelligence built on top of Nasdanika capabilities

MCP Server for mallory.ai intelligence

42-tool MCP server for CRM, relationship intelligence, and multi-agent orchestration. Search contacts, manage deals, analyze relationships, and coordinate AI agents.

A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction

The semantic layer for software engineering: Connect code to meaning, build on understanding

Foundational backend for MCP infrastructure.

The Okta MCP Server is a groundbreaking tool built by the team at Fctr that enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP). Built specifically for IAM engineers, security teams, and Okta administrators, it implements the MCP specification to help work with Okta enitities

ClickUp MCP Server - Integrate ClickUp task management with AI through Model Context Protocol

CLI tool for managing Model Context Protocol (MCP) servers in one place & using them across them different clients

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, X (Twitter), LinkedIn, Spotify, GitHub, Steam, npm, App Store, news sentiment and web traffic via one MCP connection. Free API key, no credit card required.

Digimon Engine — Multi-Agent, Multi-Player Framework for AI-Native Games and Agentic Metaverse

Persistent codebase intelligence that gives agents memory across sessions.

AI-powered news intelligence via MCP. 21 tools for personalized monitoring — create AI agents that track any topic 24/7 across thousands of sources. Get deduplicated, AI-analyzed briefings, semantic search, collections, feedback-driven refinement, and custom analysis lenses. Works with Claude, ChatGPT, Cursor, and any MCP client.

Query bank transactions and invoices, manage financial contacts directly from your LLM. Well transforms your AI assistant into a comprehensive financial insight and automation system, an AI-powered finance agent that connects multiple banking APIs, categorizes expenses, and generates real-time financial insights. Perfect for SMB founders and finance teams who want to eliminate manual bookkeeping & customize FP&A and investor reporting. Access live banking data, automate invoice workflows, and get intelligent financial analysis without switching between multiple tools.

网络基础数据，包括passivedns解析数据、域名和IP的注册信息、网站证书、IOC库的查询。

A nix flake for configuring Model Context Protocol (MCP) servers across supported AI assistant clients