io.github.MukundaKatta/citecite-mcp

MCPcommunity
v0.1.1io.github.MukundaKattaUnknownUpdated 1mo agonpmGitHub

Inject, parse, and strip [N] citation markers in RAG outputs.

MCP server for RAG citation markers. Inject markers into LLM output, parse them back when post-processing, or strip them entirely. at the end of text, or insert at a position offset. — return every found in source order with position, idx, and marker length. — remove every marker. Same shape in each tool's MCP config. Transport is stdio over You ran a RAG pipeline. The LLM produced an answer.…

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1mo agoLast update
Package
Authorio.github.MukundaKatta
LicenseUnknown
Version0.1.1
Sourcemcp-registry
Trust Status
B
60/100Good
Listed in Forge index+10/10
Publisher identity verified+0/25
Publisher: run `forge publish` from the package repo to claim ownership
Ed25519 publish signature+0/10
Included automatically when the publisher runs `forge publish`
Domain verification+0/5
Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
CVE scan · clean+30/30
Static analysis · clean+20/20
npm provenance (Sigstore)+0/5
Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain
Provenance
Dependencies60 resolved+ · none vulnerable
Tool surface3 tools · none privileged
Security scan✓ Cleanv0.1.1 · 20d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

MCP server for RAG citation markers. Inject markers into LLM output, parse them back when post-processing, or strip them entirely. at the end of text, or insert at a position offset. — return every found in source order with position, idx, and marker length. ** — remove every marker. Same shape in each tool's MCP config. Transport is stdio over You ran a RAG pipeline. The LLM produced an answer. The retrieval layer told you which source chunks were used. Now the LLM (a second pass, or the same…

Keywords
mcp