From 6f6c77678f26080afa57e834b7e35d453c7a4d53 Mon Sep 17 00:00:00 2001 From: Cho Hyerin <143975933+chohyerinn@users.noreply.github.com> Date: Sat, 20 Jun 2026 19:18:01 +0900 Subject: [PATCH 1/2] Add filter-mcp-server to Data Science Tools --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index b7db3e7af..7ef042eff 100644 --- a/README.md +++ b/README.md @@ -1317,6 +1317,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan - [bradleylab/stella-mcp](https://github.com/bradleylab/stella-mcp) 🐍 🏠 - Create, read, validate, and save Stella system dynamics models (.stmx files in XMILE format) for scientific simulation and modeling. - [BlackMount-ai/blackmount-nlp-mcp](https://github.com/BlackMount-ai/blackmount-nlp-mcp) [![BlackMount-ai/blackmount-nlp-mcp MCP server](https://glama.ai/mcp/servers/BlackMount-ai/blackmount-nlp-mcp/badges/score.svg)](https://glama.ai/mcp/servers/BlackMount-ai/blackmount-nlp-mcp) 🐍 🏠 🍎 🪟 🐧 - Deterministic local text analysis: sentiment, readability scoring, keyword extraction, text similarity, summarization, and language detection across 18 languages. Pure Python, zero heavy dependencies, 42 KB wheel. Install: `pip install blackmount-nlp-mcp`. - [Bright-L01/networkx-mcp-server](https://github.com/Bright-L01/networkx-mcp-server) 🐍 🏠 - The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization. +- [chohyerinn/filter-mcp-server](https://github.com/chohyerinn/filter-mcp-server) 🐍 🏠 - Compares approximate filter data structures (Bloom, Counting Bloom, Cuckoo, SuRF) via MCP - [ChronulusAI/chronulus-mcp](https://github.com/ChronulusAI/chronulus-mcp) 🐍 ☁️ - Predict anything with Chronulus AI forecasting and prediction agents. - [clouatre-labs/math-mcp-learning-server](https://github.com/clouatre-labs/math-mcp-learning-server) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Educational MCP server for math operations, statistics, visualization, and persistent workspaces. Built with FastMCP 2.0. - [Daichi-Kudo/llm-advisor-mcp](https://github.com/Daichi-Kudo/llm-advisor-mcp) [![Daichi-Kudo/llm-advisor-mcp MCP server](https://glama.ai/mcp/servers/Daichi-Kudo/llm-advisor-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Daichi-Kudo/llm-advisor-mcp) 📇 ☁️ 🍎 🪟 🐧 - Real-time LLM/VLM model comparison with benchmarks, pricing, and personalized recommendations from 5 data sources. No API key required. From 76515cb4bd71fd81033478c3c9d14ea5cdc28c59 Mon Sep 17 00:00:00 2001 From: Cho Hyerin <143975933+chohyerinn@users.noreply.github.com> Date: Sat, 20 Jun 2026 23:29:14 +0900 Subject: [PATCH 2/2] Add Glama score badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 7ef042eff..4b40156b9 100644 --- a/README.md +++ b/README.md @@ -1317,7 +1317,7 @@ Integrations and tools designed to simplify data exploration, analysis and enhan - [bradleylab/stella-mcp](https://github.com/bradleylab/stella-mcp) 🐍 🏠 - Create, read, validate, and save Stella system dynamics models (.stmx files in XMILE format) for scientific simulation and modeling. - [BlackMount-ai/blackmount-nlp-mcp](https://github.com/BlackMount-ai/blackmount-nlp-mcp) [![BlackMount-ai/blackmount-nlp-mcp MCP server](https://glama.ai/mcp/servers/BlackMount-ai/blackmount-nlp-mcp/badges/score.svg)](https://glama.ai/mcp/servers/BlackMount-ai/blackmount-nlp-mcp) 🐍 🏠 🍎 🪟 🐧 - Deterministic local text analysis: sentiment, readability scoring, keyword extraction, text similarity, summarization, and language detection across 18 languages. Pure Python, zero heavy dependencies, 42 KB wheel. Install: `pip install blackmount-nlp-mcp`. - [Bright-L01/networkx-mcp-server](https://github.com/Bright-L01/networkx-mcp-server) 🐍 🏠 - The first NetworkX integration for Model Context Protocol, enabling graph analysis and visualization directly in AI conversations. Supports 13 operations including centrality algorithms, community detection, PageRank, and graph visualization. -- [chohyerinn/filter-mcp-server](https://github.com/chohyerinn/filter-mcp-server) 🐍 🏠 - Compares approximate filter data structures (Bloom, Counting Bloom, Cuckoo, SuRF) via MCP +- [chohyerinn/filter-mcp-server](https://github.com/chohyerinn/filter-mcp-server) 🐍 🏠 - Compares approximate filter data structures (Bloom, Counting Bloom, Cuckoo, SuRF) via MCP [![filter-mcp-server MCP server](https://glama.ai/mcp/servers/chohyerinn/filter-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/chohyerinn/filter-mcp-server) - [ChronulusAI/chronulus-mcp](https://github.com/ChronulusAI/chronulus-mcp) 🐍 ☁️ - Predict anything with Chronulus AI forecasting and prediction agents. - [clouatre-labs/math-mcp-learning-server](https://github.com/clouatre-labs/math-mcp-learning-server) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Educational MCP server for math operations, statistics, visualization, and persistent workspaces. Built with FastMCP 2.0. - [Daichi-Kudo/llm-advisor-mcp](https://github.com/Daichi-Kudo/llm-advisor-mcp) [![Daichi-Kudo/llm-advisor-mcp MCP server](https://glama.ai/mcp/servers/Daichi-Kudo/llm-advisor-mcp/badges/score.svg)](https://glama.ai/mcp/servers/Daichi-Kudo/llm-advisor-mcp) 📇 ☁️ 🍎 🪟 🐧 - Real-time LLM/VLM model comparison with benchmarks, pricing, and personalized recommendations from 5 data sources. No API key required.