Merge pull request #7546 from musharna/add-data-aggregator-mcp

Add data-aggregator-mcp (Research and Data)
This commit is contained in:
Frank Fiegel
2026-06-07 15:04:24 -05:00
committed by GitHub
+1
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@@ -2186,6 +2186,7 @@ Tools for conducting research, surveys, interviews, and data collection.
- [kimimgo/viznoir](https://github.com/kimimgo/viznoir) [![viznoir MCP server](https://glama.ai/mcp/servers/kimimgo/viznoir/badges/score.svg)](https://glama.ai/mcp/servers/kimimgo/viznoir) 🐍 🏠 🐧 - Cinema-quality science visualization MCP server for CFD/FEA/SPH. 22 tools for rendering, slicing, contouring, volume rendering, and animating OpenFOAM/VTK/CGNS data. Headless EGL/OSMesa. - [kimimgo/viznoir](https://github.com/kimimgo/viznoir) [![viznoir MCP server](https://glama.ai/mcp/servers/kimimgo/viznoir/badges/score.svg)](https://glama.ai/mcp/servers/kimimgo/viznoir) 🐍 🏠 🐧 - Cinema-quality science visualization MCP server for CFD/FEA/SPH. 22 tools for rendering, slicing, contouring, volume rendering, and animating OpenFOAM/VTK/CGNS data. Headless EGL/OSMesa.
- [mlava/scholar-sidekick-mcp](https://github.com/mlava/scholar-sidekick-mcp) [![mlava/scholar-sidekick-mcp MCP server](https://glama.ai/mcp/servers/mlava/scholar-sidekick-mcp/badges/score.svg)](https://glama.ai/mcp/servers/mlava/scholar-sidekick-mcp) 📇 ☁️ 🍎 🪟 🐧 - Resolve any scholarly identifier (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS bibcode, WHO IRIS URL) into structured CSL JSON, format in 10,000+ citation styles, or export to BibTeX/RIS/EndNote/Zotero RDF/CSV. Single or batch. Install: `npx -y scholar-sidekick-mcp`. - [mlava/scholar-sidekick-mcp](https://github.com/mlava/scholar-sidekick-mcp) [![mlava/scholar-sidekick-mcp MCP server](https://glama.ai/mcp/servers/mlava/scholar-sidekick-mcp/badges/score.svg)](https://glama.ai/mcp/servers/mlava/scholar-sidekick-mcp) 📇 ☁️ 🍎 🪟 🐧 - Resolve any scholarly identifier (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS bibcode, WHO IRIS URL) into structured CSL JSON, format in 10,000+ citation styles, or export to BibTeX/RIS/EndNote/Zotero RDF/CSV. Single or batch. Install: `npx -y scholar-sidekick-mcp`.
- [mnemox-ai/idea-reality-mcp](https://github.com/mnemox-ai/idea-reality-mcp) [![idea-reality-mcp MCP server](https://glama.ai/mcp/servers/@mnemox-ai/idea-reality-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@mnemox-ai/idea-reality-mcp) 🐍 ☁️ 🍎 🪟 🐧 - Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI, and Product Hunt to detect existing competition before building, returning a reality signal score (0-100), duplicate likelihood, similar projects, and pivot hints. - [mnemox-ai/idea-reality-mcp](https://github.com/mnemox-ai/idea-reality-mcp) [![idea-reality-mcp MCP server](https://glama.ai/mcp/servers/@mnemox-ai/idea-reality-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@mnemox-ai/idea-reality-mcp) 🐍 ☁️ 🍎 🪟 🐧 - Pre-build reality check for AI coding agents. Scans GitHub, Hacker News, npm, PyPI, and Product Hunt to detect existing competition before building, returning a reality signal score (0-100), duplicate likelihood, similar projects, and pivot hints.
- [musharna/data-aggregator-mcp](https://github.com/musharna/data-aggregator-mcp) [![musharna/data-aggregator-mcp MCP server](https://glama.ai/mcp/servers/musharna/data-aggregator-mcp/badges/score.svg)](https://glama.ai/mcp/servers/musharna/data-aggregator-mcp) 🐍 🏠 🍎 🪟 🐧 - Search and fetch research datasets across Zenodo, DataCite (Dryad/Figshare/Dataverse/OSF), NCBI omics (GEO/SRA/BioProject), and literature (PubMed/OpenAIRE) behind one normalized model — DOI deduplication, NCBI-Taxonomy synonym expansion, paper→data linking, and checksum-verified download. `uvx data-aggregator-mcp`.
- [nangman-infra/touch-browser](https://github.com/nangman-infra/touch-browser) [![touch-browser MCP server](https://glama.ai/mcp/servers/nangman-infra/touch-browser/badges/score.svg)](https://glama.ai/mcp/servers/nangman-infra/touch-browser) 🦀 🏠 - Evidence-grounded web research for AI agents. Verifies page-local claims with citations, confidence bands, policy reports, and multi-page session synthesis via MCP. - [nangman-infra/touch-browser](https://github.com/nangman-infra/touch-browser) [![touch-browser MCP server](https://glama.ai/mcp/servers/nangman-infra/touch-browser/badges/score.svg)](https://glama.ai/mcp/servers/nangman-infra/touch-browser) 🦀 🏠 - Evidence-grounded web research for AI agents. Verifies page-local claims with citations, confidence bands, policy reports, and multi-page session synthesis via MCP.
- [ovlabs/mcp-server-originalvoices](https://github.com/ovlabs/mcp-server-originalvoices) 📇 ☁️ - Instantly understand what real users think and why by querying our network of 1:1 Digital Twins - each representing a real person. Give your AI agents authentic human context to ground outputs, improve creative, and make smarter decisions. - [ovlabs/mcp-server-originalvoices](https://github.com/ovlabs/mcp-server-originalvoices) 📇 ☁️ - Instantly understand what real users think and why by querying our network of 1:1 Digital Twins - each representing a real person. Give your AI agents authentic human context to ground outputs, improve creative, and make smarter decisions.
- [Pantheon-Security/notebooklm-mcp-secure](https://github.com/Pantheon-Security/notebooklm-mcp-secure) 📇 🏠 🍎 🪟 🐧 - Query Google NotebookLM from Claude/AI agents with 14 security hardening layers. Session-based conversations, notebook library management, and source-grounded research responses. - [Pantheon-Security/notebooklm-mcp-secure](https://github.com/Pantheon-Security/notebooklm-mcp-secure) 📇 🏠 🍎 🪟 🐧 - Query Google NotebookLM from Claude/AI agents with 14 security hardening layers. Session-based conversations, notebook library management, and source-grounded research responses.