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Bucketeer Docs Local MCP Server

Local MCP Server to query Bucketeer documentation

Buckeye MCP Py

Independent MCP server for querying all public information across the osu.edu domain and subdomains.

Bull Vision Agent

A FastAPI application that integrates with Telegram using webhooks and OpenAI Agents SDK for AI-powered stock trading assistance, utilizing MCPHub for multiple MCP server management.

bundles (Alessandro Festa)

A set of bundles to demonstrate SUSE AI capabilities

Search social media mentions, score B2B leads with AI, and detect buying signals across 30+ platforms including Twitter/X, Reddit, LinkedIn, YouTube, Hacker News, and more. Monitor your brand, track competitors, and find prospects actively looking for your product.

Enables querying Google Search Console data including rankings, clicks, and impressions for websites. Provides tools for analyzing search performance, top queries, page metrics, and ranking changes.

Bytemine MCP Server – Search 130M+ B2B contacts and enrich profiles with verified emails & phone numbers directly from Claude, Cursor, and other AI assistants via the Model Context Protocol.

Calorie Tracker MCP Server

MCP server for tracking daily calorie intake with accurate BMR/TDEE calculations. Built on Cloudflare Workers with D1 database.

A MCP server that tracks daily calorie intake through natural language interaction, providing meal recording, daily summary, weekly report generation, and food search functions.

Cam10001110101 MCP-server-ollama-deep-researcher

公开目录未提供摘要。

Search Canadian case law, browse legislation, and check citations via the CanLII API.

Enables interaction with Canny.io customer feedback platform through natural language. Supports board management, post creation/updating, search functionality, and comprehensive feedback management operations.

Canvas MCP Server 59be2c0b

an mcp server for interacting with canvas

Builds and manages a cardiology-focused knowledge graph in Neo4j by extracting medical entities and relationships from documents using LLMs. It enables users to ingest PDFs, refine extracted data, and perform natural language queries to gain clinical insights.

Careerproof Claude Skills

mcp-remote

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.

MCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.

Cognitive memory engine for AI agents with 5,100+ knowledge modules, circadian rhythm awareness, emotional state tracking (PAD model), and hybrid semantic search. Supports persistent per-user memory, project-scoped contexts, and multi-protocol access.

Persistent memory for AI agents. Store, recall, and share knowledge across sessions with five MCP tools: remember, recall, context, forget, and share. Includes semantic search and agent/user/org scoping.

Cerify Apis

Node.js/Fastify/NestJS API for the backend

Changerawr MCP

MCP Server for interacting with your Changerawr instance!