Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add mcp/viknesh20-20/claude-code-tool-kit/qdrantgit clone --depth 1 https://github.com/viknesh20-20/claude-code-tool-kitGrade A, and why
qdrant scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"qdrant": {
"command": "uvx",
"args": [
"mcp-server-qdrant"
],
"env": {
"QDRANT_URL": "${QDRANT_URL}",
"QDRANT_API_KEY": "${QDRANT_API_KEY}",
"COLLECTION_NAME": "${QDRANT_COLLECTION}"
}
}
}What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 13 lines scan A a2a886e5d299
qdrant is an MCP server published in the GitHub repository viknesh20-20/claude-code-tool-kit (7 stars, last pushed 4mo ago), licensed MIT. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other mcp servers, from other repositories
infino
MCP server for Infino — keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents. Runs locally from the @infino-ai/mcp-server npm package. Needs 3 environment variables to run.
opensolr-mcp
MCP server for Opensolr — managed Apache Solr with hybrid BM25+kNN search, server-side embeddings, and RAG answers as agent tools. Runs locally from the opensolr-mcp Python package. Needs 2 environment variables to run.
local-knowledge-rag
MCP server "local-knowledge-rag" as configured in patakuti/local-knowledge-rag-mcp. Runs /path/to/local-knowledge-rag-mcp/dist/mcp-server.js with node. Needs 3 environment variables to run.
better-qdrant-mcp-server
MCP server for enhanced Qdrant vector database functionality. Runs locally from the better-qdrant-mcp-server npm package.
pgvector
MCP server exposing pgvector similarity search, hybrid search, and index management as tools for LLM agents. Runs locally from the mcp-server-pgvector Python package. Needs 2 environment variables to run.
qdrant-search-mcp
MCP server "qdrant-search-mcp" as configured in webtoolbox/qdrant-search-mcp. Runs locally from the qdrant-search-mcp Python package.