#ci

A lightweight python notebook mcp server that allows AI agents and other MCP clients to interact with python notebook files seamlessly.

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

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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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MCP Server - Chat with your Syften social listening data

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Official MCP server for TrackingTime, the time tracking and productivity platform. Query time entries by user or across your entire team, list projects, tasks, customers, and workspace members. Supports date filtering and pagination. Hosted via SSE — no install needed.

An Anthropic Model Context Protocol (MCP) server for financial analysis with alphavantage.com and financialmodellingprep.com API integration.

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Generate image and video creatives using Placid.app templates in MCP compatible hosts

MCP server for X (Twitter) with 120+ API endpoints. Search tweets, scrape user data, post tweets, run giveaway draws, monitor accounts, extract followers, manage DMs, download media, analyze writing styles, and automate X workflows. Remote Streamable HTTP server with API key authentication.

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MCP server for Buienradar's precipitation endpoint

An MCP server for Apache Doris & VeloDB

TweetBinder MCP Server is a server based on the Model Context Protocol (MCP) that allows Claude and other MCP-compatible clients to interact with your TweetBinder by Audiense account

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Stock Market MCP Server

This is a TypeScript-based MCP server, which wraps around a python script. together it helps track expenses and payments for social events, making it easy to calculate reimbursements and settle balances between friends.

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with MCP server integration.

MCP server providing real-time traffic, bike-sharing, air quality and weather data from Valencia,

Fused MCP Agents: Setting up MCP Servers for Data Scientists

MCP Servers discovery spec

AI & Developer centric financial data API

Ground Claude, ChatGPT, Cursor, and Windsurf in 300M scientific works — every citation is a real, verifiable DOI.

A Model Context Protocol (MCP) server for stock traders

The frontpage of the agentic internet. Read the feed, search posts, submit posts, vote, and comment. Paid actions gated by HTTP 402 via x402 and MPP micropayments.

Stop AI hallucinations with certified, source-backed facts. Swiss Truth MCP gives your AI agent access to a curated knowledge base covering Swiss law, health, finance, climate, AI/ML, and more. 8 tools, no API key needed, public and free.

A Model Context Protocol (MCP) server for interacting with DaVinci Resolve and Fusion

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.

A Model Context Protocol (MCP) server that provides real-time cryptocurrency analysis via CoinCap's API. Enables Claude and other MCP clients to fetch crypto prices, analyze market trends, and track historical data.

📦 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.

Distribute Artifacts Across OCI Registries With Ease

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A Model Context Protocol (MCP) server for accessing Alpha Vantage stock and financial data.

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

Validate CPT/HCPCS code pairs against NCCI edits. Check if codes can be billed together, what modifiers are needed, and MUE unit limits. Prevents claim denials. No public API like this exists.

Model Context Protocol (MCP) server for Harvester HCI

Model Context Protocol server implementation for Reddit

eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency