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14 MCP Servers1 Skillacross 5 categoriesblackwell-systems
Stateful LSP runtime for AI agents — 50+ tools across 30+ languages via MCP.
blackwell-systems
The AI-native wire format for structured data. 100% comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ lossless round-trips across 17 formats. Spec v3.4 Stable.
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Deterministic correctness testing for MCP servers
blackwell-systems
Content-addressed code graph with 22 MCP tools for AI agents.
blackwell-systems
MCP proxy that re-encodes JSON tool responses as GCF. Zero code changes.
blackwell-systems
AgentOps for Claude Code. Monitors AI agent behavior during development: real-time error loops, drift detection, friction analysis. Claude gets self-awareness hooks + MCP tools. You get cost-per-commit, agent success rates, exportable metrics. Like DevOps, but for AI agents.
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GCF Go implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.
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Python implementation of GCF (Graph Compact Format): token-optimized wire format for LLM tool responses
blackwell-systems
GCF Rust implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.
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An agent's control interface for any plugin. A generic MCP bridge that hosts any VST3/AU and gives AI agents its full parameter surface: set every control in real units, recover what each one means, drive one instance from several agents at once, and render, measure, and tune toward intents like 'make it brighter'.
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GCF Swift implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.
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Structured code quality audits for AI coding agents. LSP-backed findings, 14 check types, severity-tiered reports.
blackwell-systems
GCF Kotlin implementation. 100% LLM comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ round-trips verified. Zero dependencies.
...morepytest plugin for mcp-assert: run MCP server assertions as pytest test items
MCP server for language intelligence. 53 tools, 30 languages, speculative execution.