Fused MCP is a Python-based implementation that enables data scientists to easily connect Claude and other LLMs to executable Python code through User Defined Functions (UDFs). Built by Fused Labs, it provides a simple workflow for setting up MCP servers that can run either locally or remotely, with pre-built agents for common tasks like retrieving current time and fetching news. The repository includes step-by-step notebooks for both using existing functions and creating custom agents, making it particularly valuable for data scientists who want to extend their LLMs with Python capabilities without leaving their conversation interface.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.