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Add effectfence — causal effect fence for agent tool calls (Rust)

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aurumflux20
2026-08-04 15:10:14 -07:00
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@@ -1054,6 +1054,7 @@ Data Platforms for data integration, transformation and pipeline orchestration.
### 💻 <a name="developer-tools"></a>Developer Tools
- [aurumflux20/effectfence](https://github.com/aurumflux20/effectfence) [![aurumflux20/effectfence MCP server](https://glama.ai/mcp/servers/aurumflux20/effectfence/badges/score.svg)](https://glama.ai/mcp/servers/aurumflux20/effectfence) 🦀 🏠 🍎 🪟 🐧 - Causal effect fence for agent tool calls: stops double-charges and duplicate side effects. Same-instant races elect exactly one winner; late duplicates replay a sealed, content-addressed receipt (fence_prepare / fence_commit / fence_abort). Ships a 1,000-attempt storm demo enforced in CI. `cargo install effectfence`.
- [hivemindunit/llmintel-mcp](https://github.com/hivemindunit/llmintel-mcp) [![hivemindunit/llmintel-mcp MCP server](https://glama.ai/mcp/servers/hivemindunit/llmintel-mcp/badges/score.svg)](https://glama.ai/mcp/servers/hivemindunit/llmintel-mcp) 📇 ☁️ - Check whether an LLM model id is deprecated, retiring, or retired, and what to migrate to. Covers OpenAI, Anthropic, Azure, Bedrock, Google, and Cohere. No API key. `npx -y @llmintel/mcp` or `https://llmintel.ai/v1/mcp`
- [rm-rf-prod/GroundTruth-MCP](https://github.com/rm-rf-prod/GroundTruth-MCP) [![rm-rf-prod/GroundTruth-MCP MCP server](https://glama.ai/mcp/servers/rm-rf-prod/GroundTruth-MCP/badges/score.svg)](https://glama.ai/mcp/servers/rm-rf-prod/GroundTruth-MCP) 📇 🏠 🍎 🪟 🐧 - Self-hosted MCP for live docs, code audits, snippets, and best practices across 445+ libraries. 14 tools, 107 audit patterns with file:line precision, BM25-ranked snippets, lockfile-aware version pinning, npm/PyPI/crates.io/Go fallback. No API keys, no rate limits, Context7 alternative. `npx -y @groundtruth-mcp/gt-mcp`
- [scarletkc/vexor](https://github.com/scarletkc/vexor) [![scarletkc/vexor MCP server](https://glama.ai/mcp/servers/scarletkc/vexor/badges/score.svg)](https://glama.ai/mcp/servers/scarletkc/vexor) 🐍 🏠 ☁️ 🍎 🪟 🐧 - A semantic search engine for files and code — find files by describing what they do, not their names. Local reusable indexes, configurable embedding providers (OpenAI, Gemini, Voyage, any OpenAI-compatible API, or fully offline local models), AST-aware code chunking, optional reranking. `uvx vexor mcp` or `pip install vexor`.