BenchGecko maintains a directory of Model Context Protocol (MCP) server implementations. The dataset, last updated on 2026-04-21, tracks the ecosystem of servers that enable AI models to interact with external tools, databases, and APIs. It is a 3.3 KB CSV file released under a CC-BY-4.0 license.
Use Cases
- Discover available MCP server implementations based on the directory's listings.
- Analyze the growth and composition of the MCP ecosystem based on the tracked server data.
- Identify integration points for AI models with external tools and APIs based on the protocol's purpose.
Strengths
- Explicitly maintained by BenchGecko, a known entity in the AI benchmarking space.
- Released under a permissive CC-BY-4.0 license for open use.
- Last update timestamp of 2026-04-21 16:28:48 is provided.
Limitations
- Dataset is very small at 3.3 KB, indicating limited scope or a simple listing structure.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for quantitative analysis.
Provenance
- Source
- BenchGecko
- Collection Method
- Likely curated and maintained directory.
- Time Range
- Snapshot from 2026.
- Freshness
- Last updated 2026-04-21 16:28:48; freshness should be verified.
- Geography
- null