https://github.com/jkingsman/qanon-mcp-server

by jkingsman

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Python

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Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

B3.4/5.0

Scored 2026-04-18 10:45 across 8 tools

Disambiguation4/5

Most tools have distinct purposes: retrieval by ID, author, date, search, timeline summary, and word cloud generation. However, 'analyze_post' and 'get_post_by_id_tool' could cause confusion as both target specific posts, with 'analyze_post' implying deeper analysis but overlapping in core retrieval functionality. The word cloud tools are clearly differentiated by date vs. ID range.

Naming Consistency3/5

The naming is mixed: some tools use verb_noun patterns like 'search_posts' and 'analyze_post', while others use noun_verb patterns like 'get_post_by_id_tool' and 'get_posts_by_author_id'. There's inconsistency in verb usage ('get', 'analyze', 'search') and structure, but names remain readable and descriptive overall.

Tool Count5/5

With 8 tools, this server is well-scoped for analyzing and retrieving posts/drops in a QAnon context. The count is reasonable, covering key operations like retrieval, search, timeline summary, and word cloud analysis without being overwhelming or too sparse.

Completeness4/5

The tool surface is largely complete for a read-only analysis server, covering retrieval by various criteria, search, timeline summaries, and word cloud generation. A minor gap is the lack of update or delete operations, but given the domain (likely analyzing historical data), this is acceptable, and agents can work around it effectively.