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/keboola/mcp-server/mcpgit clone --depth 1 https://github.com/keboola/mcp-serverGrade A, and why
mcp 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
{ "mcp": { "command": "uvx", "args": [ "keboola-mcp-server" ], "env": {} } }
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 · 9 lines scan A 8c7de9c8abe4
mcp is an MCP server published in the GitHub repository keboola/mcp-server (86 stars, last pushed 2d 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 2026-08-30.
Other mcp servers, from other repositories
opik-mcp
Interact with Opik prompts, traces, datasets and metrics through the Model Context Protocol. Runs locally from the opik-mcp npm package. Needs 3 environment variables to run.
openrouter-multimodal
Chat with 300+ LLMs via OpenRouter. Analyze and generate images, audio, and video from MCP. Runs locally from the @stabgan/openrouter-mcp-multimodal npm package. Needs 13 environment variables to run.
authenticated-llm-agent
JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion. Remote server at bcrypt-langchain-openai-mcp-bb738e.getvda.ai.
authenticated-multi-llm-agent
Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f. Remote server at anthropic-google-auth-oauthlib-mc-70ac16.getvda.ai.
llm-observability-orchestration
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith. Remote server at langchain-core-langsmith-openai-8c02f9.getvda.ai.
llm-orchestration-agent
Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith. Remote server at langchain-core-langchain-openai-l-736876.getvda.ai.