Search: dex
Search MCP servers and agent skills by name, description, category or topic — 494 results.
coreyhaines31/marketing-psychology
Apply psychological principles and behavioral science to copy and design
coreyhaines31/onboarding-cro
Optimize post-signup onboarding and user activation to improve time-to-value
coreyhaines31/page-cro
Improve conversion rates on any marketing page including homepages and landing pages
coreyhaines31/paid-ads
Create and optimize paid campaigns on Google, Meta, LinkedIn, and more
coreyhaines31/paywall-upgrade-cro
Design and optimize upgrade screens, paywalls, and upsell modals
coreyhaines31/popup-cro
Create and optimize popups, modals, and slide-ins for conversions
coreyhaines31/pricing-strategy
Define pricing, packaging, and monetization strategy for SaaS products
coreyhaines31/product-marketing-context
Create and maintain a product marketing context document for consistent messaging
coreyhaines31/programmatic-seo
Build SEO-driven page templates for large-scale content generation
coreyhaines31/referral-program
Design and optimize referral, affiliate, and word-of-mouth programs
coreyhaines31/revops
Streamline revenue operations, lead lifecycle, and marketing-to-sales handoff
coreyhaines31/sales-enablement
Create pitch decks, one-pagers, objection handling docs, and demo scripts
coreyhaines31/schema-markup
Add and optimize schema markup and structured data for better SEO
coreyhaines31/seo-audit
Audit and diagnose technical and on-page SEO issues on a site
coreyhaines31/signup-flow-cro
Optimize signup, registration, and trial activation flows for higher conversion
coreyhaines31/site-architecture
Plan and restructure page hierarchy, navigation, and URL structure
coreyhaines31/social-content
Create and schedule social media content for LinkedIn, Twitter/X, and Instagram
mindsdb/mindsdb
Connect and unify data across various platforms and databases with [MindsDB as a single MCP server](https://docs.mindsdb.com/mcp/overview).
DeusData/codebase-memory-mcp
Code-intelligence engine that indexes a repo into a persistent knowledge graph — functions, classes, call chains, HTTP routes, cross-service links. 159 languages via tree-sitter + Hybrid LSP, sub-ms structural queries, ~99% fewer tokens than grep. Single static binary, zero dependencies, 100% local. `npx codebase-memory-mcp`
blader/humanizer
Remove signs of AI-generated writing from text, making it sound more natural and human
oraios/serena
A fully-featured coding agent that relies on symbolic code operations by using language servers.
wanshuiyin/Auto-claude-code-research-in-sleep
Autonomous ML research with cross-model review loops and GPU deployment
repowise-dev/repowise
Codebase intelligence for AI coding agents. Indexes a repo into a dependency graph, git history, defect-risk code health, auto-generated docs, and architectural decisions, served as 9 task-shaped MCP tools across 15 languages. Runs 100% local; hosted option available.
NVIDIA/CUDA-Q/cudaq-guide
CUDA-Q onboarding guide for installation, test programs, GPU simulation, QPU hardware, and quantum applications.
NVIDIA/DALI/dali-dynamic-mode
Use when writing DALI data loading or preprocessing code with `nvidia.dali.experimental.dynamic` (ndd), or when converting DALI pipeline-mode code to dynamic mode, or when the user...
NVIDIA/Megatron-Bridge/adding-model-support
Guide for adding support for new LLM or VLM models in Megatron-Bridge.
NVIDIA/Megatron-Bridge/build-and-dependency
Dev environment setup for Megatron Bridge — container-based development, uv package management, lockfile regeneration, adding dependencies, Slurm container usage, and common build...
NVIDIA/Megatron-Bridge/bump-dependency
Bump a pinned dependency (TransformerEngine, Megatron-LM, NRX, etc.), regenerate the lockfile, open a PR, and drive it to green by attaching a watchdog to the "CICD NeMo" workflow...
NVIDIA/Megatron-Bridge/cicd
CI/CD reference for Megatron Bridge — pipeline structure, commit and PR workflow, CI failure investigation, and common failure patterns.
NVIDIA/Megatron-Bridge/linting-and-formatting
Code style and quality rules for Megatron Bridge — ruff configuration, naming conventions, type hints, mypy rules, docstrings, copyright headers, logging, and the code review check...
NVIDIA/Megatron-Bridge/mlm-bridge-training
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data.
NVIDIA/Megatron-Bridge/multi-node-slurm
Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures.
NVIDIA/Megatron-Bridge/nemo-rl-e2e-testing
External NeMo-RL end-to-end validation workflow for Megatron-Bridge model/provider changes, including downstream compatibility checks, external RL lifecycle behavior, Megatron poli...
NVIDIA/Megatron-Bridge/parity-testing
Structured framework for verifying numerical parity of HFMCore weight conversions.
NVIDIA/Megatron-Bridge/perf-activation-recompute
Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute.
NVIDIA/Megatron-Bridge/perf-cpu-offloading
Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.
NVIDIA/Megatron-Bridge/perf-cuda-graphs
Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
NVIDIA/Megatron-Bridge/perf-expert-parallel-overlap
Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_comm, delay_wgrad_compute, and flex dispatcher backends such as...
NVIDIA/Megatron-Bridge/perf-hierarchical-context-parallel
Operational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
NVIDIA/Megatron-Bridge/perf-megatron-fsdp
Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
NVIDIA/Megatron-Bridge/perf-memory-tuning
Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM fixes.
NVIDIA/Megatron-Bridge/perf-moe-comm-overlap
MoE expert-parallel communication overlap in Megatron Bridge.
NVIDIA/Megatron-Bridge/perf-moe-dispatcher-selection
Choose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage.
NVIDIA/Megatron-Bridge/perf-moe-hardware-configs
Representative MoE training playbooks by hardware platform and model family.
NVIDIA/Megatron-Bridge/perf-moe-long-context
Long-context MoE training guidance for Megatron Bridge.
NVIDIA/Megatron-Bridge/perf-moe-optimization-workflow
Systematic workflow for MoE training optimization in Megatron Bridge, based on the Megatron-Core MoE paper.
NVIDIA/Megatron-Bridge/perf-moe-vlm-training
Practical guidance for training MoE VLMs in Megatron Bridge.
NVIDIA/Megatron-Bridge/perf-parallelism-strategies
Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.