From 77bbddeba909fe55917c6c8c9e0395cec522b1e2 Mon Sep 17 00:00:00 2001 From: srinivasan-sundaresan95 Date: Fri, 8 May 2026 17:38:58 +0900 Subject: [PATCH 1/2] =?UTF-8?q?Add=20Orihime=20=E2=80=94=20cross-repo=20co?= =?UTF-8?q?de=20knowledge=20graph=20MCP=20server?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index a58a33b32..a644366f3 100644 --- a/README.md +++ b/README.md @@ -2100,6 +2100,7 @@ Tools for conducting research, surveys, interviews, and data collection. ### 🔒 Security +- [srinivasan-sundaresan95/orihime](https://github.com/srinivasan-sundaresan95/orihime) 🐍 🏠 🍎 🪟 🐧 - Cross-repository code knowledge graph MCP server for Java, Kotlin, JavaScript, and TypeScript. Indexes source into embedded KuzuDB via tree-sitter; 30+ tools for call-flow tracing, multi-hop taint analysis (OWASP/CWE/PCI/STIG reports), entry-point reachability filtering, performance hotspot detection, and license compliance — without reading source files. 95% fewer tokens vs source-reading baseline. `pip install orihime` - [alexfleetcommander/agent-trust-stack-mcp](https://github.com/alexfleetcommander/agent-trust-stack-mcp) [![agent-trust-stack-mcp MCP server](https://glama.ai/mcp/servers/alexfleetcommander/agent-trust-stack-mcp/badges/score.svg)](https://glama.ai/mcp/servers/alexfleetcommander/agent-trust-stack-mcp) 🐍 📇 ☁️ 🏠 🍎 🪟 🐧 - Cryptographic provenance, bilateral blind reputation scoring, and tamper-evident logging for AI agent interactions. 7 interlocking trust protocols (CoC, ARP, ASA, AJP, ALP, AMP, CWEP) available in Python (pip) and TypeScript (npm). 663 tests. Bitcoin-anchored provenance chains, anti-Goodhart reputation scoring, machine-readable contracts, dispute resolution, lifecycle management, trust-weighted matchmaking, and context-window cost allocation. Also on [Smithery](https://smithery.ai/server/@alexfleetcommander/agent-trust-stack-mcp) and [PyPI](https://pypi.org/project/agent-trust-stack-mcp/). - [123Ergo/unphurl-mcp](https://github.com/123Ergo/unphurl-mcp) [![unphurl-mcp MCP server](https://glama.ai/mcp/servers/123Ergo/unphurl-mcp/badges/score.svg)](https://glama.ai/mcp/servers/123Ergo/unphurl-mcp) 📇 ☁️ - URL intelligence for AI agents. 13 tools for security signals and data quality: redirect behaviour, brand impersonation detection, domain age, SSL validation, parked detection, URL structural analysis, DNS enrichment. - [13bm/GhidraMCP](https://github.com/13bm/GhidraMCP) 🐍 ☕ 🏠 - MCP server for integrating Ghidra with AI assistants. This plugin enables binary analysis, providing tools for function inspection, decompilation, memory exploration, and import/export analysis via the Model Context Protocol. From 210c8aca5d3a6b1ca157ebfc06549b27c3e202db Mon Sep 17 00:00:00 2001 From: srinivasan-sundaresan95 <40930238+srinivasan-sundaresan95@users.noreply.github.com> Date: Fri, 8 May 2026 18:29:34 +0900 Subject: [PATCH 2/2] chore: add Glama score badge to Orihime entry --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a644366f3..470957648 100644 --- a/README.md +++ b/README.md @@ -2100,7 +2100,7 @@ Tools for conducting research, surveys, interviews, and data collection. ### 🔒 Security -- [srinivasan-sundaresan95/orihime](https://github.com/srinivasan-sundaresan95/orihime) 🐍 🏠 🍎 🪟 🐧 - Cross-repository code knowledge graph MCP server for Java, Kotlin, JavaScript, and TypeScript. Indexes source into embedded KuzuDB via tree-sitter; 30+ tools for call-flow tracing, multi-hop taint analysis (OWASP/CWE/PCI/STIG reports), entry-point reachability filtering, performance hotspot detection, and license compliance — without reading source files. 95% fewer tokens vs source-reading baseline. `pip install orihime` +- [srinivasan-sundaresan95/orihime](https://github.com/srinivasan-sundaresan95/orihime) [![orihime MCP server](https://glama.ai/mcp/servers/srinivasan-sundaresan95/orihime/badges/score.svg)](https://glama.ai/mcp/servers/srinivasan-sundaresan95/orihime) 🐍 🏠 🍎 🪟 🐧 - Cross-repository code knowledge graph MCP server for Java, Kotlin, JavaScript, and TypeScript. Indexes source into embedded KuzuDB via tree-sitter; 30+ tools for call-flow tracing, multi-hop taint analysis (OWASP/CWE/PCI/STIG reports), entry-point reachability filtering, performance hotspot detection, and license compliance — without reading source files. 95% fewer tokens vs source-reading baseline. `pip install orihime` - [alexfleetcommander/agent-trust-stack-mcp](https://github.com/alexfleetcommander/agent-trust-stack-mcp) [![agent-trust-stack-mcp MCP server](https://glama.ai/mcp/servers/alexfleetcommander/agent-trust-stack-mcp/badges/score.svg)](https://glama.ai/mcp/servers/alexfleetcommander/agent-trust-stack-mcp) 🐍 📇 ☁️ 🏠 🍎 🪟 🐧 - Cryptographic provenance, bilateral blind reputation scoring, and tamper-evident logging for AI agent interactions. 7 interlocking trust protocols (CoC, ARP, ASA, AJP, ALP, AMP, CWEP) available in Python (pip) and TypeScript (npm). 663 tests. Bitcoin-anchored provenance chains, anti-Goodhart reputation scoring, machine-readable contracts, dispute resolution, lifecycle management, trust-weighted matchmaking, and context-window cost allocation. Also on [Smithery](https://smithery.ai/server/@alexfleetcommander/agent-trust-stack-mcp) and [PyPI](https://pypi.org/project/agent-trust-stack-mcp/). - [123Ergo/unphurl-mcp](https://github.com/123Ergo/unphurl-mcp) [![unphurl-mcp MCP server](https://glama.ai/mcp/servers/123Ergo/unphurl-mcp/badges/score.svg)](https://glama.ai/mcp/servers/123Ergo/unphurl-mcp) 📇 ☁️ - URL intelligence for AI agents. 13 tools for security signals and data quality: redirect behaviour, brand impersonation detection, domain age, SSL validation, parked detection, URL structural analysis, DNS enrichment. - [13bm/GhidraMCP](https://github.com/13bm/GhidraMCP) 🐍 ☕ 🏠 - MCP server for integrating Ghidra with AI assistants. This plugin enables binary analysis, providing tools for function inspection, decompilation, memory exploration, and import/export analysis via the Model Context Protocol.