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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.

InsForge is a backend development platform purpose-built for AI coding agents and editors. It acts as a semantic layer that exposes backend primitives — databases, authentication, storage, and functions — in ways that AI systems can comprehend and operate upon end-to-end.

A template MCP server to easily deploy tools, resources, and prompts for agents. From the AgentForge team

MCP server for generating other MCP servers in Smithery

Toy MCP server that provides access to exchange rate data from the Norges Bank API.

MCP server for connecting Claude app to terminal/system for generating code projects

AI drafts your email. You hit send. That's what TextForge does: it allows LLMs to safely read, search, download attachments from email AND compose replies / new drafts with attachments, signatures, and the like. But TextForge's real power comes from its webhooks and approval systems: 1. No emails are ever sent without your express approval - this helps prevent OpenClaw-style oopsies with email. 2. Approval requests can be sent via webhook to whatever your preferred messaging platform is: Slack, Discord, anything that accepts webhooks. You never need to open TextForge if you don't want to. 3. And if you want to build some really cool automations, TextForge even supports reply webhooks to help drive things like CRM automation if you wishb.

Model Context Protocol server for Anbani

MCP server that provides doc forge capabilities

An MCP server that organizes files into properly structured projects using Script_starter.py

Forge is an advanced 3D Gaussian Splatting renderer for THREE.js

CloudForge MCP lets Claude visualise your cloud architecture diagrams, generate production-ready Terraform HCL from natural language, import existing IaC, and manage Azure, AWS, and GCP resources — all from chat. Authenticate with a CloudForge API key (cf_live_...) generated from cloudforge.cloud/account. No browser token copying required. Tools included: • cloudforge_diagram_to_mermaid — render any saved diagram inline in Claude • cloudforge_architecture_summary — resource counts, central components, inline diagram • cloudforge_generate_terraform — generate .tf files from a description • cloudforge_export_terraform_from_diagram — export Terraform from a saved diagram • cloudforge_import_terraform — parse existing HCL → diagram + Mermaid preview • cloudforge_chat — ask the AI Architect for cost, security, and best practice advice • cloudforge_suggest_resources — get AI-recommended resources for a use case • cloudforge_list_diagrams / get / save / delete / recent — full diagram management • cloudforge_list_members / invite / remove — organisation management

Structured product data from the open web where platform APIs don't reach. Schema.org + AI extraction. Pay per call via Stripe MPP.

Never forget a thing. Stay focused on what matters today. Taskpile is a personal task tracker that catches every thought, errand, or "I should…" in seconds — from Claude, ChatGPT, Cursor, Le Chat, Lovable, or any MCP-compatible chat client. A two-minute morning review turns the pile into one short Today list; everything else waits until you're ready. 57 tools across capture, planning, search, recurrence, and a daily morning digest. Hosted at taskpile.app with OAuth 2.1 (DCR + PKCE) — no local install.

Forge is Voxell's hosted text-embedding API. This MCP server exposes two tools — embed (turn text into vectors) and list_models — so any MCP-compatible agent can generate embeddings for semantic search, RAG, clustering, and dedup. Three tiers let you dial quality against cost: turbo (1024d, fast and cheap), pro (2560d), and ultra (4096d — Qwen3-Embedding-8B, ~75+ average task score on MTEB and currently #4 on MTEB English; the models above it are research-only, so it's the top usable model). Matryoshka dimensions let you truncate to fewer dims — re-normalized — for cheaper vectors. Requires a FORGE_API_KEY (free tier at dash.voxell.ai). Embeddings only — no data is stored.