--- title: "arcade-mcp vs mcp-server-elasticsearch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/arcadeai-arcade-mcp-vs-elastic-mcp-server-elasticsearch" tools: ["arcadeai-arcade-mcp", "elastic-mcp-server-elasticsearch"] --- # arcade-mcp vs mcp-server-elasticsearch *GraphCanon updated Aug 22, 2026* ## Verdict Pick arcade-mcp if arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol; pick mcp-server-elasticsearch if a Rust-based Elasticsearch server component designed for integration into systems requiring robust vector database functionality. [arcade-mcp](https://docs.arcade.dev) reports 981 GitHub stars, 101 forks, and 16 open issues, last pushed Jul 26, 2026. [mcp-server-elasticsearch](https://www.elastic.co/elasticsearch) has 705 stars, 146 forks, and 15 open issues, last pushed Aug 20, 2026. Figures are from public GitHub metadata via [arcade-mcp's repository](https://github.com/ArcadeAI/arcade-mcp) and [mcp-server-elasticsearch's repository](https://github.com/elastic/mcp-server-elasticsearch). | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [mcp-server-elasticsearch](/tools/elastic-mcp-server-elasticsearch.md) | | --- | --- | --- | | Tagline | MCP Server Framework and Tool Development Library for Custom Agent Capabilities | Elasticsearch-based MCP server implementation in Rust | | Stars | 981 | 705 | | Forks | 101 | 146 | | Open issues | 16 | 15 | | Language | Python | Rust | | Adopt for | Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol. | A Rust-based Elasticsearch server component designed for integration into systems requiring robust vector database functionality. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) | [mcp-server-elasticsearch](/tools/elastic-mcp-server-elasticsearch.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 16 | 15 | | Stars delta | Unknown | +8 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/arcadeai-arcade-mcp/trust.md) | [trust report](/tools/elastic-mcp-server-elasticsearch/trust.md) | ## Decision facts: arcade-mcp - **Requirements:** Min 4 GB RAM - **Adopt for:** Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol. ## Decision facts: mcp-server-elasticsearch - **Adopt for:** A Rust-based Elasticsearch server component designed for integration into systems requiring robust vector database functionality. ## Choose when ### Choose arcade-mcp if… - arcade-mcp is primarily Python; mcp-server-elasticsearch is Rust. - License: arcade-mcp is MIT, mcp-server-elasticsearch is Apache-2.0. - Requirements: Min 4 GB RAM. - Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework, model-context-protocol. - Also covers AI Agents. - When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol. ### Choose mcp-server-elasticsearch if… - mcp-server-elasticsearch is primarily Rust; arcade-mcp is Python. - License: mcp-server-elasticsearch is Apache-2.0, arcade-mcp is MIT. - Tags unique to mcp-server-elasticsearch: elasticsearch, mcp, rust. - Also covers Vector Databases. - mcp-server-elasticsearch ships Docker support for self-hosted deployment. - - When your project is built with Rust and requires a specialized Elasticsearch server for efficient handling of vector databases, making it easier to integrate with existing Rust codebases. ## When NOT to use arcade-mcp - If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. - When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks. ## When NOT to use mcp-server-elasticsearch - - It may not be suitable if your project is not developed in Rust since leveraging its full benefits requires a native, tightly integrated environment to function effectively. - - Avoid this tool if you are looking for a more generalized Elasticsearch setup that might offer broader compatibility with various languages and frameworks. ## Common questions ### What is the difference between arcade-mcp and mcp-server-elasticsearch? arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. mcp-server-elasticsearch: Elasticsearch-based MCP server implementation in Rust. See the comparison table for live GitHub stats and shared categories. ### When should I choose arcade-mcp over mcp-server-elasticsearch? Choose arcade-mcp over mcp-server-elasticsearch when arcade-mcp is primarily Python; mcp-server-elasticsearch is Rust; License: arcade-mcp is MIT, mcp-server-elasticsearch is Apache-2.0; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework, model-context-protocol; Also covers AI Agents; When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol. ### When should I choose mcp-server-elasticsearch over arcade-mcp? Choose mcp-server-elasticsearch over arcade-mcp when mcp-server-elasticsearch is primarily Rust; arcade-mcp is Python; License: mcp-server-elasticsearch is Apache-2.0, arcade-mcp is MIT; Tags unique to mcp-server-elasticsearch: elasticsearch, mcp, rust; Also covers Vector Databases; mcp-server-elasticsearch ships Docker support for self-hosted deployment; - When your project is built with Rust and requires a specialized Elasticsearch server for efficient handling of vector databases, making it easier to integrate with existing Rust codebases. ### When should I avoid arcade-mcp? If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks. ### When should I avoid mcp-server-elasticsearch? - It may not be suitable if your project is not developed in Rust since leveraging its full benefits requires a native, tightly integrated environment to function effectively. - Avoid this tool if you are looking for a more generalized Elasticsearch setup that might offer broader compatibility with various languages and frameworks. ### Is arcade-mcp or mcp-server-elasticsearch more popular on GitHub? arcade-mcp has more GitHub stars (981 vs 705). Stars measure visibility, not whether either tool fits your constraints. ### Are arcade-mcp and mcp-server-elasticsearch open source? Yes - both are open-source projects on GitHub (arcade-mcp: MIT, mcp-server-elasticsearch: Apache-2.0). ### Where can I find alternatives to arcade-mcp or mcp-server-elasticsearch? GraphCanon lists graph-backed alternatives at [arcade-mcp alternatives](/tools/arcadeai-arcade-mcp/alternatives) and [mcp-server-elasticsearch alternatives](/tools/elastic-mcp-server-elasticsearch/alternatives) ([arcade-mcp markdown twin](/tools/arcadeai-arcade-mcp/alternatives.md), [mcp-server-elasticsearch markdown twin](/tools/elastic-mcp-server-elasticsearch/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/arcadeai-arcade-mcp-vs-elastic-mcp-server-elasticsearch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, arcade-mcp or mcp-server-elasticsearch? arcade-mcp: Very active. mcp-server-elasticsearch: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for arcade-mcp and mcp-server-elasticsearch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [arcade-mcp trust report](/tools/arcadeai-arcade-mcp/trust); [mcp-server-elasticsearch trust report](/tools/elastic-mcp-server-elasticsearch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=arcadeai-arcade-mcp`](/api/graphcanon/graph?tool=arcadeai-arcade-mcp) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_