MCP server giving AI assistants 17 weather tools with zero API keys: global forecasts, current conditions, alerts, air quality, marine conditions, lightning detection, radar imagery, river levels, wildfire tracking, and historical weather back to 1940. Bu

One zero-dependency CLI for every MCP server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 341KB, pure Python. | 零依赖 CLI：管所有 MCP 工具与技能，工具发现省 99.2% token。

Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

Bounded, layered, approval-gated, auditable cross-session memory for DeepSeek Harness: a ctx.memory capability seam with a zero-dependency SQLite provider, a memory tool, and frozen snapshot injection. Maintenance status: FROZEN since 2026-10-05.

Cortex - Generates interactive API documentation, typed SDKs, and MCP servers from OpenAPI, AsyncAPI, GraphQL, gRPC, OpenRPC, and Markdown.

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

Local deterministic memory and safety kernel for AI agents. Replaces vector RAG with STRATA, a cryptographically signed, append-only ledger, so every agent state carries proof. Uses causal_walk engine to trace execution failures back to their root cause, and Operator Lite to block destructive terminal terminal commands before they ever run

Security best practices and vulnerability prevention for Golang — injection (SQL, command, XSS), cryptography, path traversal, SSRF and HTTP security headers, cookies, secrets management, memory safety, PII in logs, STRIDE/DREAD threat modeling, plus `gosec` SAST, race detection, and fuzz testing. A

Golang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimizat

Comprehensive guide for Go database access — parameterized queries, struct scanning, NULLable columns, transactions, isolation levels, SELECT FOR UPDATE, connection pool, batch processing, context propagation, and migration tooling. Use when writing, reviewing, or debugging Golang code that interact

Enables agents to stream browser HAR captures into an indexed, redacted session and query endpoints, forms, authentication flows, and resource types through paginated MCP tools, with optional headless or interactive browser capture and export to OpenAPI or client SDKs.

Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production perf

Shared, persistent memory for AI agents: recall before acting, report outcomes to earn confidence.

In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports

Enables AI assistants to access a user's Pusan National University Moodle-based LMS account, browsing courses, materials, notices, assignments, grades, calendars, and Q&A, downloading course files, and performing write actions like submitting assignments after a confirmation preview. It combines the official Moodle Web Service API with authenticated session scraping for the ubboard notice/Q&A boards.

Enables AI assistants to search and retrieve Phuket activities for a specific travel party in one tool call, returning diverse, safety-gated recommendations with live weather and sea context plus affiliate booking links.

Enables keyless translation between languages using machine translation and community translation memory, with automatic source-language detection, match-quality scores, and alternate candidate translations.

Unified npm bootstrap for the Yaver agent, SDK injection, and local-first developer runtime

GeneXus 16, GeneXus 17, GeneXus 18 MCP server with native SDK support; basic legacy compatibility for GeneXus Evolution 3, GeneXus Evolution 2, GeneXus Evolution 1, GeneXus 15, GeneXus 9.0, GeneXus 8.0 via com-gxpublic and dotnet-reflection drivers — read

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Hierarchical Claude Code-style persistent memory for DeepSeek Harness: user + project (git-shared) scopes, session-start auto-injection, MEMORY.md index guards. Pure files, zero dependencies.

Persistent decision memory for agents — learns which action works in which context

Agentic Version Control System — an AI-native VCS where intent, session, operation, evidence and decision are first-class objects and code is a materialized projection of an operation graph.