AgentIndex icon
AgentIndex
mcp-victoriametrics logo
mcp-victoriametrics
★ 239
vs
Vault-for-LLM logo
Vault-for-LLM
★ 50

mcp-victoriametrics vs Vault-for-LLM

mcp-victoriametrics: This MCP server provides access to your VictoriaMetrics instance and seamless integration with VictoriaMetrics APIs and documentation. It offers a comprehensive interface for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances.; Vault-for-LLM: Vault-for-LLM is a local-first memory layer for LLM agents. It creates a portable SQLite knowledge vault from Markdown notes, allowing agents to search and retrieve structured memory on demand. It focuses on agent-oriented memory with bounded retrieval and optional embeddings.

01

TL;DR

mcp-victoriametrics logo
mcp-victoriametricsRAG / Knowledge Base · ★ 239

Monitoring and observability: query metrics, analyze alert rules, and visualize data

Read mcp-victoriametrics full review →
Vault-for-LLM logo
Vault-for-LLMRAG / Knowledge Base · ★ 50

Persistent project context for AI agents across sessions

Read Vault-for-LLM full review →
02

Side-by-Side Comparison

Field
mcp-victoriametrics logomcp-victoriametrics
Vault-for-LLM logoVault-for-LLM
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 239
★ 50
License
Apache-2.0
MIT
Install Command
go install github.com/VictoriaMetrics/mcp-victoriametrics/cmd/mcp-victoriametrics@latest
python3 -m venv .venv && source .venv/bin/activate && pip install vault-for-llm
Updated
4d ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
ai, mcp, mcp-server
embeddings, knowledge-base, llm
03

Features

mcp-victoriametrics logomcp-victoriametrics
01Query metrics and explore data, including drawing graphs if the client supports it
02List and export available metrics, labels, label values, and entire series
03Analyze and test alerting and recording rules
04Show parameters of your VictoriaMetrics instance
05Explore cardinality and metrics usage statistics
Vault-for-LLM logoVault-for-LLM
01Local-first SQLite storage
02Keyword + optional vector/hybrid search
03Memory layers (L0-L3) for structured context
04Document Map with bounded citations
05MCP server integration for agent access
04

Use Cases

mcp-victoriametrics logomcp-victoriametrics
↳Monitoring and observability: query metrics, analyze alert rules, and visualize data
↳Debugging and optimization: debug relabel rules, downsampling strategies, and retention configurations
↳Automation and integration: integrate with AI assistants via MCP protocol for automated operations
Vault-for-LLM logoVault-for-LLM
↳Persistent project context for AI agents across sessions
↳Debugging and troubleshooting knowledge retrieval
↳Team collaboration via synced knowledge vaults
FAQ

FAQ

What is the difference between mcp-victoriametrics and Vault-for-LLM?
Both mcp-victoriametrics and Vault-for-LLM are in the RAG / Knowledge Base category. mcp-victoriametrics has 239 stars, while Vault-for-LLM has 50 stars.
Which is better, mcp-victoriametrics or Vault-for-LLM?
The best choice depends on your use case. Choose mcp-victoriametrics if Monitoring and observability: query metrics, analyze alert rules, and visualize data, and Vault-for-LLM if Persistent project context for AI agents across sessions.
Is mcp-victoriametrics free or open source?
Yes, mcp-victoriametrics is open source on GitHub (Apache-2.0).
Is Vault-for-LLM free or open source?
Yes, Vault-for-LLM is open source on GitHub (MIT).
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Related

Alternatives to mcp-victoriametrics →Alternatives to Vault-for-LLM →mcp-victoriametrics details →Vault-for-LLM details →