10 skills found
lobehub / lobehubThe ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level — enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
idosal / git-mcpPut an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
elusznik / mcp-server-code-execution-modeAn MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.
Codeturion / unreal-api-mcpInstant, accurate Unreal Engine API lookups instead of expensive source file reads, saving your agent tokens, context, and hallucinations.
ywatanabe1989 / scitex-pythonPython toolkit for reproducible science. CLI commands, 300+ MCP tools, built-in skills. From raw data to manuscript — with reproducibility verification. For AI and human researchers. https://scitex.ai
Codeturion / unity-api-mcpInstant, accurate Unity API lookups instead of expensive source file reads, saving your agent tokens, context, and hallucinations
roomi-fields / notebooklm-mcpMCP server for NotebookLM - Let your AI agents (Claude Code, Codex) research documentation directly with grounded, citation-backed answers from Gemini. Persistent auth, library management, cross-client sharing. Zero hallucinations, just your knowledge base.
prodlint / prodlintYour vibe-coded app has hardcoded secrets, missing auth, and hallucinated imports. Find out in under a second.
X-iZhang / CCD📷 CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding — A flexible, plug-and-play toolkit for various radiology MLLM backbones, further boosting overall performance
tanaikech / nexus-mcp-extensionNexus-MCP solves Tool Space Interference in LLMs. It uses a single gateway to aggregate multiple MCP servers and employs a deterministic 4-phase workflow (Discovery, Mapping, Schema Verification, Bridged Execution) to prevent context saturation and tool hallucinations, maintaining reasoning accuracy with massive tool ecosystems.
