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corpus scores 52 (Fair), with no SPDX license recorded. It can be reached as a remote MCP endpoint. It does not declare tools yet. Filed under Knowledge. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.
0 1 Trust score 52 of 100, Fair Fair trust 52 of 100 from six public signals. Nobody can buy a point.
How we score trust Where the 52 comes from 22 + 20 + 0 + 0 + 7 + 3 = 52. Each factor is capped, so no single signal can carry a listing.
Active in the official MCP registry, plus a known vendor namespace.
Registry: 22 of 30 points. How recently the repository saw a commit or release.
Maintenance: 20 of 20 points. Install Pick your client, copy the config, paste it in.
~/Library/Application Support/Claude/claude_desktop_config.json Copy { "mcpServers" : { "tasklinkr-corpus" : { "url" : "https://tasklinkr-mcp-stub.vercel.app/mcp/corpus" } } } Claude Desktop Claude Code Cursor VS Code 0 / 20
GitHub stars and weekly downloads, on a log scale.
Popularity: 0 of 20 points.
A clear, OSI-style open-source license.
License: 0 of 10 points. Not archived, a secure install path, a pinned version.
Security: 7 of 10 points. A real summary, a README with depth, listed tools.
Docs: 3 of 10 points.
Environment variables This server does not declare environment variables.
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About Maintained behavior records for the tools and platforms AI agents use, distilled from live docs.
FAQ
? What is corpus?Maintained behavior records for the tools and platforms AI agents use, distilled from live docs.
? How do I install corpus?Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
? Is corpus official?No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
? How is the trust score calculated?This listing scores 52 (Fair). The formula is published on the methodology page. Reviews No reviews yet. Used it? Tell the next person how it went.
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Categories Tags No tags yet.
weekly downloads
It 73 Trust score 73 of 100, Good
Give AI agents full access to ITASCA PFC, FLAC3D, 3DEC, MPoint, MassFlow: docs, simulation, plots.
72 Trust score 72 of 100, Good
Search public open-source code, documentation, metadata, vulnerabilities, changelogs, and examples.
Rt 70 Trust score 70 of 100, Good
Local retrieval for AI agents: index code, docs, PDFs, data in SQLite; 24 parsers, served via MCP.
Gk 69 Trust score 69 of 100, Good
Search, read and grow a Karpathy-style LLM wiki of linked Markdown pages, with cited answers.
Se 69 Trust score 69 of 100, Good
Apple developer docs and WWDC transcripts with RAG retrieval and Jev relevance ranking.
