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effectfence: offer npx, no Rust toolchain needed

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Published prebuilt binaries for macOS (Apple silicon), Windows x64 and Linux
(x64, arm64), each built on its native runner and made to answer an MCP
initialize on that platform before release. The entry now leads with
`npx -y effectfence`, matching the convention of neighbouring entries, with
cargo kept as the alternative.
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aurumflux20
2026-08-08 00:29:50 -07:00
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@@ -1054,7 +1054,7 @@ Data Platforms for data integration, transformation and pipeline orchestration.
### 💻 <a name="developer-tools"></a>Developer Tools ### 💻 <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`. - [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. `npx -y effectfence` (prebuilt binaries for macOS, Windows and Linux — no Rust toolchain) or `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` - [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` - [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`. - [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`.