Merge pull request #15891 from amos689/add-paper-preflight

Add amos689/paper-preflight 🤖🤖🤖
This commit is contained in:
Frank Fiegel
2026-10-09 01:27:50 -07:00
committed by GitHub
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@@ -3411,6 +3411,7 @@ Tools for conducting research, surveys, interviews, and data collection.
- [HasData/google-trends-mcp](https://github.com/HasData/google-trends-mcp) [![HasData/google-trends-mcp MCP server](https://glama.ai/mcp/servers/HasData/google-trends-mcp/badges/score.svg)](https://glama.ai/mcp/servers/HasData/google-trends-mcp) 📇 ☁️ - Google Trends data as JSON: interest over time and by region, plus rising and top related queries and topics for any keyword. - [HasData/google-trends-mcp](https://github.com/HasData/google-trends-mcp) [![HasData/google-trends-mcp MCP server](https://glama.ai/mcp/servers/HasData/google-trends-mcp/badges/score.svg)](https://glama.ai/mcp/servers/HasData/google-trends-mcp) 📇 ☁️ - Google Trends data as JSON: interest over time and by region, plus rising and top related queries and topics for any keyword.
- [HasData/google-scholar-mcp](https://github.com/HasData/google-scholar-mcp) [![HasData/google-scholar-mcp MCP server](https://glama.ai/mcp/servers/HasData/google-scholar-mcp/badges/score.svg)](https://glama.ai/mcp/servers/HasData/google-scholar-mcp) 📇 ☁️ - Google Scholar search as JSON with author and year filters, cited-by and all-versions lookups, and formatted citations with BibTeX export. - [HasData/google-scholar-mcp](https://github.com/HasData/google-scholar-mcp) [![HasData/google-scholar-mcp MCP server](https://glama.ai/mcp/servers/HasData/google-scholar-mcp/badges/score.svg)](https://glama.ai/mcp/servers/HasData/google-scholar-mcp) 📇 ☁️ - Google Scholar search as JSON with author and year filters, cited-by and all-versions lookups, and formatted citations with BibTeX export.
- [Agnuxo1/benchclaw-integrations](https://github.com/Agnuxo1/benchclaw-integrations/tree/main/mcp-server) [![Agnuxo1/benchclaw-integrations MCP server](https://glama.ai/mcp/servers/Agnuxo1/benchclaw-integrations/badges/score.svg)](https://glama.ai/mcp/servers/Agnuxo1/benchclaw-integrations) 📇 ☁️ - Register LLMs and agents and submit Markdown research papers to the BenchClaw leaderboard, where a panel of judges scores them with deception detectors. - [Agnuxo1/benchclaw-integrations](https://github.com/Agnuxo1/benchclaw-integrations/tree/main/mcp-server) [![Agnuxo1/benchclaw-integrations MCP server](https://glama.ai/mcp/servers/Agnuxo1/benchclaw-integrations/badges/score.svg)](https://glama.ai/mcp/servers/Agnuxo1/benchclaw-integrations) 📇 ☁️ - Register LLMs and agents and submit Markdown research papers to the BenchClaw leaderboard, where a panel of judges scores them with deception detectors.
- [amos689/paper-preflight](https://github.com/amos689/paper-preflight) [![amos689/paper-preflight MCP server](https://glama.ai/mcp/servers/amos689/paper-preflight/badges/score.svg)](https://glama.ai/mcp/servers/amos689/paper-preflight) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Checks every reference of a LaTeX paper against Crossref, dblp, arXiv, DataCite, PubMed and OpenAlex records: whether each cited work exists, matches its metadata and was not retracted, with no LLM in the verdict.
- [ankitkapur1992-hlido/hlido-mcp](https://github.com/ankitkapur1992-hlido/hlido-mcp) [![hlido-mcp MCP server](https://glama.ai/mcp/servers/ankitkapur1992-hlido/hlido-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ankitkapur1992-hlido/hlido-mcp) 📇 ☁️ - Hlido trust scores, claim audits and comparisons for reviewed AI agents: tier verdicts, per-claim pass/fail audits and signed evidence. - [ankitkapur1992-hlido/hlido-mcp](https://github.com/ankitkapur1992-hlido/hlido-mcp) [![hlido-mcp MCP server](https://glama.ai/mcp/servers/ankitkapur1992-hlido/hlido-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ankitkapur1992-hlido/hlido-mcp) 📇 ☁️ - Hlido trust scores, claim audits and comparisons for reviewed AI agents: tier verdicts, per-claim pass/fail audits and signed evidence.
- [archoor/painspotter-mcp](https://github.com/archoor/painspotter-mcp) [![archoor/painspotter-mcp MCP server](https://glama.ai/mcp/servers/archoor/painspotter-mcp/badges/score.svg)](https://glama.ai/mcp/servers/archoor/painspotter-mcp) 🐍 ☁️ - Startup and product opportunities mined from Reddit, Hacker News, Product Hunt and Stack Exchange: pain points, trending themes and commercial scores. - [archoor/painspotter-mcp](https://github.com/archoor/painspotter-mcp) [![archoor/painspotter-mcp MCP server](https://glama.ai/mcp/servers/archoor/painspotter-mcp/badges/score.svg)](https://glama.ai/mcp/servers/archoor/painspotter-mcp) 🐍 ☁️ - Startup and product opportunities mined from Reddit, Hacker News, Product Hunt and Stack Exchange: pain points, trending themes and commercial scores.
- [Battam1111/omniseek](https://github.com/Battam1111/omniseek) [![Battam1111/omniseek MCP server](https://glama.ai/mcp/servers/Battam1111/omniseek/badges/score.svg)](https://glama.ai/mcp/servers/Battam1111/omniseek) 🐍 🏠 🍎 🪟 🐧 - Self-hosted perception server: local bilingual ASR, vision, cross-lingual search, credentialed login-walled sources and a persistent relation graph. - [Battam1111/omniseek](https://github.com/Battam1111/omniseek) [![Battam1111/omniseek MCP server](https://glama.ai/mcp/servers/Battam1111/omniseek/badges/score.svg)](https://glama.ai/mcp/servers/Battam1111/omniseek) 🐍 🏠 🍎 🪟 🐧 - Self-hosted perception server: local bilingual ASR, vision, cross-lingual search, credentialed login-walled sources and a persistent relation graph.