vector_mcp
★ 13
vs
mcp-victoriametrics
★ 239
vector_mcp vs mcp-victoriametrics
vector_mcp: VectorMCP is a Ruby framework implementing the MCP server specification. It provides class-based tools, resources, prompts, and supports streamable HTTP transport with authentication, authorization, and middleware.; 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.
01
TL;DR
vector_mcpRAG / Knowledge Base · ★ 13
Build MCP-compatible servers for AI tools and assistants
mcp-victoriametricsRAG / Knowledge Base · ★ 239
Monitoring and observability: query metrics, analyze alert rules, and visualize data
02
Side-by-Side Comparison
Field
vector_mcpmcp-victoriametricsCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 13
★ 239
License
MIT
Apache-2.0
Install Command
gem install vector_mcp
go install github.com/VictoriaMetrics/mcp-victoriametrics/cmd/mcp-victoriametrics@latest
Updated
6d ago
1d ago
Open Source
Yes
Yes
Tags
mcp, mcp-sdk, mcp-server
ai, mcp, mcp-server
03
Features
vector_mcp01Streamable HTTP transport with session management and MCP 2025-11-25 compliance
02Class-based tools via VectorMCP::Tool DSL and block-based register_tool API
03Rack and Rails mounting through server.rack_app
04Opt-in authentication and authorization with middleware hooks
05Image-aware tools/resources/prompts, roots, and server-initiated sampling
mcp-victoriametrics01Query 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
04
Use Cases
vector_mcp↳Build MCP-compatible servers for AI tools and assistants
↳Integrate MCP endpoints into Ruby on Rails applications
↳Expose custom tools, resources, and prompts via MCP protocol
mcp-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
FAQ
FAQ
What is the difference between vector_mcp and mcp-victoriametrics?
Both vector_mcp and mcp-victoriametrics are in the RAG / Knowledge Base category. vector_mcp has 13 stars, while mcp-victoriametrics has 239 stars.
Which is better, vector_mcp or mcp-victoriametrics?
The best choice depends on your use case. Choose vector_mcp if Build MCP-compatible servers for AI tools and assistants, and mcp-victoriametrics if Monitoring and observability: query metrics, analyze alert rules, and visualize data.
Is vector_mcp free or open source?
Yes, vector_mcp is open source on GitHub (MIT).
Is mcp-victoriametrics free or open source?
Yes, mcp-victoriametrics is open source on GitHub (Apache-2.0).
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