17 skills found
shlomiuziel / asher-mcpA Personal Financial Data MCP Server over the israeli-bank-scrapers package
3ksoft / schema-popMemory-layout-first schemas for zero-copy cross-language data structures.
pierceboggan / nano-banana-mcpAn MCP server for generating images.
itayinbarr / little-coderA harness optimized to smaller LLMs
alessandro9110 / Speech-To-Text-With-DatabricksAn end-to-end, scalable STT solution on Databricks that transcribes audio into structured text in Delta Lake, ready for analytics, search, and GenAI/RAG.
kapillamba4 / code-memoryMCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.
rwi001 / polarsFast in-memory DataFrame library for datasets that fit in RAM
brettmartin97 / codegraphMCP server for call-graph analysis, blast-radius impact, and code intelligence for AI coding assistants
cyanheads / filesystem-mcp-serverA Model Context Protocol (MCP) server for platform-agnostic file capabilities, including advanced search/replace and directory tree traversal
netdata / netdataThe fastest path to AI-powered full stack observability, even for lean teams.
reposkein / reposkeinDeterministic code-graph (GraphRAG) over your repo for LLM agents — local-first, git-native, zero-infra, served via MCP. Python, TS/JS, Rust, Go, Java, C#.
aahlijia / dekkoStatic code map generator (MAP.md + map.json) powered by tree-sitter — a Claude Code /map plugin and MCP server that gives coding agents call graphs, file outlines, and impacted-test lookups without spending tokens on parsing.
HaseebKhalid1507 / VelociRAGLightning-fast RAG for AI agents. ONNX-powered, 4-layer fusion, MCP server. No PyTorch.
HideBa / methodology- FlatBuffers overview - File structure - FlatBuffer schema
Intelligent-Data-Design-Inc / pds4NetCDF Expansion Pack
swjturay / codex-agy-delegatorAn MCP server for delegating repetitive coding tasks from Codex to Antigravity workers in isolated Git worktrees.
headroomlabs-ai / headroomCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
