← Back to list

anonymize-mcp

MCP ServerClaude Code Memory Low risk

MCP server pro NLP nástroje ÚFAL MFF UK (NameTag, MasKIT, PONK) — česká právní AI: anonymizace, NER, čitelnost

用于捷克共和国查理大学数学与物理学院ÚFAL NLP工具(NameTag、MasKIT、PONK)的MCP服务器——捷克法律AI:匿名化、NER、可读性。

How to install

Claude Code git clone https://github.com/Buggy1111/anonymize-mcp ~/.claude/skills/anonymize-mcp

Recommendation signals

39 Tool quality · Based on stars, downloads, maintenance, security and docs
– User interest · Adjusted by in-site views, install copies and download clicks
39 Overall
0views
0unique visitors
0install copies
0download clicks
0outbound clicks

Meta

License
NOASSERTION
Language
Python
GitHub stars
4
mo. downloads
–
Last push
2026-08-11
Created
2026-05-14

Links

GitHub ↗ Report issue ↗

Basic safety check

Findings
curated 收录但无 npm 包/安装命令
Sources
curated:punkpeye/awesome-mcp-servers
Topics
anonymization, claude, czech, fastmcp, legal-tech, mcp, model-context-protocol, ner, nlp, ufal

Related plugins

DeepSeek Harness
Score98

hindsight

vectorize-io/hindsight/tree/main/hindsight-integrations/coding-agents

Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.

☆ 27.7K ↓ 124.6K Memory ↗
MCP ServerClaude Code
Score91

firecrawl-mcp-server

firecrawl/firecrawl-mcp-server

🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.

☆ 7.5K ↓ 126.7K Memory ↗
DeepSeek Harness
Score84

dsh-mnemon

omdsh-dev/dsh-mnemon

Cross-agent, local-first persistent memory plugin for DeepSeek Harness (DSH), powered by Mnemon. It shares long-term memory across Mnemon-enabled agents and adds runtime memory, searchable project documents, semantic recall, knowledge graph, and a Sidebar UI.

☆ 409 ↓ 36.1K Memory ↗
Claude Code
Score82

get-shit-done

gsd-build/get-shit-done

A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES.

☆ 64.5K ↓ 48.4K Memory ↗