#rce

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

MCP Server Practice

An MCP proxy server to connect to the resource hub

An MCP server for analyzing open source projects and assisting with codebase integration

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MCP server to cache codebase as graph

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This is a File system mcp server that could allow an LLM to read and list files from a specified safe directory on your local machine.

Open source community for mcp servers

Salesforce MCP Server

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An MCP (Model Context Protocol) server implementation that integrates Claude with Salesforce, enabling natural language interactions with your Salesforce data and metadata. This server allows Claude to query, modify, and manage your Salesforce objects and records using everyday language.

MCP server for generating Coinbase Commerce payment links

A WooCommerce (MCP) Model Context Protocol server

Universal wishlist for AI shopping experiences. Save any product URL from any store to a persistent wishlist directly from AI conversations.

This repository contains a ready-to-use Model Context Protocol (MCP) server that supercharges your development workflow. As a new developer, I created this tool to consolidate documentation and streamline my development process—now I'm sharing it with you.

Easy MCP (Model Context Protocol) servers and AI agents, defined as YAML.

A list of open-source AI projects you can use to generate income easily.

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Dockerized Salesforce MCP Server for REST API integration

MCP File System Server: A secure Model Context Protocol server that provides file operations for AI assistants. Enables Claude and other assistants to safely read, write, and list files in a designated project directory with robust path validation and security controls.

Absurdly easy Model Context Protocol Servers in Typescript

An MCP Compliant Server that defines 9 tools for working with Vercel deployment data.

Open Source MCP Servers for Scientific Research

A comprehensive collection of Model Context Protocol (MCP) servers categorized by functionality. This repository helps developers and AI enthusiasts discover and utilize the wide array of available MCP servers for various applications.

Uses Claude or OpenAI API to convert prompt-mapped input into concrete MCP server components such as tools, resource templates, and prompt handlers.

Example of creating a MCP server with Nuxt & Vercel.

Electron-based desktop applications for various AI chat platforms.

Total Sanity Project-perfect repository for defining utilities, fields, component schemas, documents in sanity. Here everything you need for sanity configuration, project building.

Reliable MCP-compliant Agentforce API server with fallback modes

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SAP Commerce (Hybris) MCP Server

mcp server to publish dev.to article automatically. In .NET 9

测试 vercel-mcp-server 是否成功的项目

ACI.dev is the open source platform that connects your AI agents to 600+ tool integrations with multi-tenant auth, granular permissions, and access through direct function calling or a unified MCP server.

B2Bware MCP server that connects MCP-compatible AI clients to the B2Bware Datahub API. Supports product search/listing, customer lookup, cart upsert with optional custom line-item pricing, robust order sorting (e.g. -id, -_created_at), and checkout with explicit shipping/billing method and address requirements. Supports both remote MCP endpoint and local npx setup.

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.