Search: im
Search MCP servers and agent skills by name, description, category or topic — 1,083 results.
phuryn/sentiment-analysis
Analyze user feedback with sentiment scores and JTBD insights
phuryn/brainstorm-experiments-existing
Design experiments to test assumptions for existing products
phuryn/brainstorm-experiments-new
Design lean pretotypes for new product validation
google/cloud/google-cloud-waf-cost-optimization
Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF).
google/cloud/google-cloud-waf-performance-optimization
Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well...
muratcankoylan/context-optimization
Apply compaction, masking, and caching strategies
microsoft/azure-ai-vision-imageanalysis-java
Image captioning, OCR, and object detection
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-Core/bump-base-image
Bump the NVIDIA PyTorch base image (`nvcr.io/nvidia/pytorch:-py3`) used by Megatron-LM CI.
NVIDIA/Model-Optimizer/accessing-mlflow
Query and browse evaluation results stored in MLflow.
NVIDIA/Model-Optimizer/debug
Run commands inside a remote Docker container via the file-based command relay (tools/debugger).
NVIDIA/Model-Optimizer/deployment
Serve a quantized or unquantized LLM checkpoint as an OpenAI-compatible API endpoint using vLLM, SGLang, or TRT-LLM.
NVIDIA/Model-Optimizer/evaluation
Evaluates accuracy of quantized or unquantized LLMs using NeMo Evaluator Launcher (NEL).
NVIDIA/Model-Optimizer/launching-evals
Run, monitor, analyze, and debug LLM evaluations via nemo-evaluator-launcher.
NVIDIA/Model-Optimizer/monitor
Monitor submitted jobs (PTQ, evaluation, deployment) on SLURM clusters.
NVIDIA/Model-Optimizer/ptq
This skill should be used when the user asks to "quantize a model", "run PTQ", "post-training quantization", "NVFP4 quantization", "FP8 quantization", "INT8 quantization", "INT4 AW...
NVIDIA/Model-Optimizer/release-cherry-pick
Cherry-pick merged PRs labeled for a release branch into that branch, then open a PR and apply the cherry-pick-done label.
NVIDIA/TensorRT-LLM/kernel-tileir-optimization
Optimize existing Triton kernels for NVIDIA TileIR backend on Blackwell GPUs (sm_100+).
NVIDIA/TensorRT-LLM/perf-host-optimization
Profiles and optimizes TensorRT-LLM host/CPU overhead using line_profiler (with nsys support planned).
NVIDIA/TensorRT-LLM/perf-optimization
Performance optimization coordination playbook.
NVIDIA/TileGym/improve-cutile-kernel-perf
Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning.
NVIDIA/cuopt/cuopt-numerical-optimization-api-c
LP, MILP, and QP (beta) with cuOpt — C API only.
NVIDIA/cuopt/cuopt-numerical-optimization-api-cli
LP, MILP, and QP (beta) with cuOpt — CLI only (MPS files, cuopt_cli).
NVIDIA/cuopt/cuopt-numerical-optimization-api-python
Solve Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Quadratic Programming (QP, beta) with the Python API.
NVIDIA/cuopt/numerical-optimization-formulation
Numerical optimization (LP, MILP, QP) — concepts, problem-text parsing, and formulation patterns.
NVIDIA/deepstream/deepstream-import-vision-model
Use this skill to bring any vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors export, TRT engi...
trailofbits/constant-time-analysis
Detect compiler-induced timing side-channels in crypto code
timescale/rsigma
Exposes the RSigma Sigma detection-engineering toolkit to AI agents over stdio or Streamable HTTP with `rsigma mcp serve`. Tools to author, lint, validate, and convert Sigma detection rules, evaluate and explain detections against log events, and inspect correlation state, all backed by a native Rust engine.
childrentime/reactuse
MCP server for the [ReactUse](https://reactuse.com) library — 110+ React Hooks (TypeScript-first, SSR-compatible, tree-shakable). Lets AI assistants discover hook signatures, demos, and usage patterns directly from the docs.
flutter/flutter-animating-apps
Implement animated effects, transitions, and motion
flutter/flutter-implementing-navigation-and-routing
Handle routing, navigation, and deep linking
flutter/flutter-improving-accessibility
Configure Flutter for screen readers and assistive tech
ooples/token-optimizer-mcp
Intelligent token optimization achieving 95%+ reduction through caching, compression, and 80+ smart tools for API optimization, code analysis, and real-time monitoring.
kimtaeyoon83/mcp-server-youtube-transcript
Fetch YouTube subtitles and transcripts for AI analysis
JamsusMaximus/trainingpeaks-mcp
Query TrainingPeaks workouts, analyze CTL/ATL/TSB fitness metrics, and compare power/pace PRs through Claude Desktop.
openai/notion-spec-to-implementation
Convert Notion specs into linked implementation plans and tasks
openai/figma-implement-design
Translate Figma designs into production-ready code with 1:1 visual fidelity
SimplyLiz/CodeMCP
Code intelligence MCP server with 80+ tools for semantic code search, impact analysis, call graphs, ownership detection, and architectural understanding. Supports Go, TypeScript, Python, Rust, Java via SCIP indexing.
cameronrye/openzim-mcp
Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API.