Search: coding
Search MCP servers and agent skills by name, description, category or topic — 442 results.
NVIDIA/cuopt/cuopt-developer
Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI).
NVIDIA/cuopt/cuopt-install
Install cuOpt for Python, C, or as a server (pip, conda, Docker) — system requirements, install commands, and verification.
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/cuopt-routing-api-python
Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.
NVIDIA/cuopt/cuopt-server-api-python
cuOpt REST server — start server, endpoints, Python/curl client examples.
NVIDIA/cuopt/cuopt-server-common
cuOpt REST server — what it does and how requests flow.
NVIDIA/cuopt/cuopt-user-rules
Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server).
NVIDIA/cuopt/numerical-optimization-formulation
Numerical optimization (LP, MILP, QP) — concepts, problem-text parsing, and formulation patterns.
NVIDIA/cuopt/routing-formulation
Vehicle routing (VRP, TSP, PDP) — problem types and data requirements.
NVIDIA/cuopt/skill-evolution
After solving a non-trivial problem, detect generalizable learnings and propose skill updates so future interactions benefit automatically.
NVIDIA/deepstream/deepstream-dev
NVIDIA DeepStream SDK 9.0 development with Python pyservicemaker API.
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...
NVIDIA/nemotron-voice-agent/nemotron-voice-agent-deploy
Deploy Nemotron Voice Agent on Workstation (x86), Jetson Thor, or Cloud NIMs.
NVIDIA/rag/rag-blueprint
"NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage.
NVIDIA/video-search-and-summarization/alerts
Manage and monitor VSS alerts after the alerts profile is deployed.
NVIDIA/video-search-and-summarization/deploy
Deploy, debug, or tear down any VSS profile using a compose-centric workflow — config (dry-run) with env overrides, review resolved compose, then compose up.
NVIDIA/video-search-and-summarization/report
Produce video analysis reports by discovering the deployed VSS agent, querying POST /generate for a timestamped captioned summary of the clip, then formatting the agent reply as th...
NVIDIA/video-search-and-summarization/rt-vlm
Use this skill when working with the RTVI VLM or RT-VLM microservice API on VSS 3.1.
NVIDIA/video-search-and-summarization/video-analytics
Query video analytics data and metrics from Elastic search via the VA-MCP server (port 9901).
NVIDIA/video-search-and-summarization/video-search
Search video archives using natural language — find events, objects, actions, and people across recorded video using fusion search (Cosmos Embed1 semantic search + CV attribute sea...
NVIDIA/video-search-and-summarization/video-summarization
Summarize a video by calling the VLM NIM or the Long Video Summarization (LVS) microservice directly.
NVIDIA/video-search-and-summarization/video-understanding
Call the vss agent to run video understanding on video to answer a text question.
NVIDIA/video-search-and-summarization/vios
Query VIOS REST APIs: sensor list, recording timelines, video clip extraction, snapshot capture, add/delete sensors and streams
NVIDIA/video-search-and-summarization/vss-frag
Generate video summary reports using the VSS video_search_frag extension with Long Video Summarization (LVS), Enterprise RAG knowledge retrieval, and human-in-the-loop parameter co...
foryourhealth111-pixel/Vibe-Skills
A skills governed plug-and-play harness for staged, test-driven skill orchestration
shashankss1205/codegraphcontext
An MCP server that indexes local code into a graph database to provide context to AI assistants with a graphical code visualizations for humans.
BetterDB-inc/monitor
Valkey-first observability with Redis compatibility. Query real-time metrics, analyze slow commands, detect hot keys, and investigate performance issues directly from AI coding assistants.
TencentCloudBase/CloudBase-AI-ToolKit
One-stop backend services for WeChat Mini-Programs and full-stack apps. Provides specialized MCP tools for serverless cloud functions, databases, and one-click deployment to production with China market access through WeChat ecosystem.
aymericzip/intlayer
A MCP Server that enhance your IDE with AI-powered assistance for Intlayer i18n / CMS tool: smart CLI access, access to the docs.
mnemox-ai/idea-reality-mcp
Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI, and Product Hunt to detect existing competition before building, returning a reality signal score (0-100), duplicate likelihood, similar projects, and pivot hints.
sipyourdrink-ltd/bernstein
Deterministic multi-agent orchestrator for 37 CLI coding agents (Claude Code, Codex, Cursor, Aider, Gemini CLI, GitHub Copilot CLI, OpenHands, OpenCode, Goose, Qwen, Ollama, and more). MCP server mode (stdio + HTTP/SSE) exposes the orchestrator to any MCP client. Git worktree isolation per agent, HMAC-chained audit trail, cost-aware model routing via contextual bandit. Apache 2.0.
alinaqi/claude-bootstrap
Opinionated project initialization with security-first guardrails, spec-driven atomic todos, LLM testing patterns, and CLI tool orchestration (gh, vercel, supabase)
rusiaaman/wcgw
Autonomous shell execution, computer control and coding agent. (Mac)
vshulcz/deja-vu
Local memory layer over the session histories coding agents already write (Claude Code, Codex CLI, opencode): lexical search, recall tools, session-start auto-recall, secret redaction at index time, cross-machine sync over SSH.
juyterman1000/entroly
Auditable context control plane and MCP server for AI coding agents. Compresses context 70–95% (BM25 + entropy + dep-graph knapsack), stabilizes prompt prefixes for provider cache discounts, routes easy tasks to cheaper models (RAVS Bayesian router), and verifies answers locally with WITNESS hallucination guard (0.844 AUROC, $0, ~3 ms). MemoryOS adds local budget-aware working/episodic/semantic me
cablate/mcp-google-map
Google Maps MCP server with 8 tools (geocode, search, directions, elevation), stdio + StreamableHTTP transport, Agent Skill definitions, and standalone exec CLI mode.
riponcm/projectmem
Local-first memory and judgment layer for AI coding agents. Captures issues, failed attempts, fixes, and decisions in readable Markdown + JSONL, re-injects them into future sessions, and warns at git commit before you repeat a mistake. 14 tools, works with Claude, Cursor, Antigravity, and Codex.
cometchat/docs-mcp
CometChat's official MCP server — searches CometChat documentation and returns curated implementation bundles for adding real-time chat, voice, video, and moderation to your app (React, React Native, Flutter, iOS, Android, JS SDK).
CodeLogicIncEngineering/codelogic-mcp-server
Official MCP server for CodeLogic, providing access to code dependency analytics, architectural risk analysis, and impact assessment tools.
louis030195/terminator-mcp-agent
Desktop GUI automation using accessibility APIs. Control Windows, macOS, and Linux applications without vision models or screenshots. Supports workflow recording, structured data extraction, and browser DOM inspection.
dagger/container-use
Containerized environments for coding agents. Multiple agents can work independently, isolated in fresh containers and git branches. No conflicts, many experiments. Full execution history, terminal access to agent environments, git workflow. Any agent/model/infra stack.
ohad6k/emulo
Loads your personal profile, mined from your local Claude Code/Codex/OpenCode logs, so your agent works like you instead of a cold start. One tool, `load_emulo_profile`. Run with `uvx emulo mcp`.
ozgurcd/gograph
An AST-aware structural repository graph engine and MCP server designed for AI agents. Understands Go struct embeds, public API surfaces, SQL queries, and error mapping to give agents instant codebase context without blindly grepping.
omega-memory/omega-memory
Persistent memory for AI coding agents with semantic search, auto-capture, cross-session learning, and intelligent forgetting. 28 MCP tools, local-first.