io.github.CloudCorpRecords/cloudkb is an MCP server that bedrock knowledge bases, data sources and retrieval as MCP tools. Its tool list has not been published yet over stdio, requires no API key, and scores 58/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"cloudkb": {
"env": {
"AWS_REGION": "us-east-1",
"AWS_ACCESS_KEY_ID": "...",
"AWS_SECRET_ACCESS_KEY": "..."
},
"args": [
"-y",
"@reneturcios/cloudkb",
"mcp"
],
"command": "npx"
}
}
}Are you the author?
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Bedrock knowledge bases, data sources and retrieval as MCP tools.
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
npx -y '@reneturcios/cloudkb' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
Checked @reneturcios/cloudkb against OSV.dev.
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Amazon Bedrock knowledge bases as MCP tools. cloudkb is a clean-room rebuild of the core surface of the AWS Bedrock knowledge base MCP server, under a new name: the same tool names and documented REST request shapes, fresh code, no copied branding.
list_knowledge_bases, get_knowledge_base, list_data_sources,
get_data_source, list_ingestion_jobs, get_ingestion_job,
start_ingestion_job, stop_ingestion_job, retrieve,
retrieve_and_generate.
The first eight tools shape Bedrock Agent (control plane) requests;
retrieve and retrieve_and_generate shape Bedrock Agent Runtime
(data plane) requests. Request shaping is real and unit-tested; every
call goes through an injectable executor interface.
Not in this subset: knowledge base and data source create, update and delete lifecycle, chunking configuration, agents and aliases, flows, prompts, guardrails, evaluation jobs, model invocation and sessions.
export AWS_ACCESS_KEY_ID=...
export AWS_SECRET_ACCESS_KEY=...
export AWS_REGION=us-east-1 # optional, this is the default
Without credentials, every tool call fails with an error naming
AWS_ACCESS_KEY_ID.
Signing gap, stated plainly: SigV4 signing is not implemented in
this rebuild. Signing is delegated to an injectable signer/executor
hook; with credentials present but no signer injected, a call fails
with SigV4 signing not configured: inject a signer/executor instead
of sending an unsigned request.
npx @reneturcios/cloudkb list_knowledge_bases '{}'
npx @reneturcios/cloudkb retrieve '{"knowledge_base_id":"KB1","query":"refund policy"}'
npx @reneturcios/cloudkb mcp # stdio MCP server
Each tool name is a subcommand taking one JSON object argument.
{
"mcpServers": {
"cloudkb": {
"command": "npx",
"args": ["-y", "@reneturcios/cloudkb", "mcp"],
"env": { "AWS_ACCESS_KEY_ID": "...", "AWS_SECRET_ACCESS_KEY": "...", "AWS_REGION": "us-east-1" }
}
}
}
docker run -i -e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY ghcr.io/cloudcorprecords/cloudkb
npm install
npm run build
npm test
MIT