The Testkube MCP Server exposes continuous testing capabilities (test orchestration, execution, troubleshooting and anlysis) to AI tools and workflows
Unknown
Score100
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
The Tavily MCP server provides seamless interaction with the tavily-search and tavily-extract tools, real-time web search capabilities through the tavily-search tool and Intelligent data extraction from web pages via the tavily-extract tool.
Model Context Protocol (MCP) server for comprehensive task and feature management, providing AI assistants with a structured, context-efficient way to interact with project data.
A Model Context Protocol (MCP) server for integrating with StackHawk's security scanning platform. Provides security analytics, YAML configuration management, sensitive data/threat surface analysis, and anti-hallucination tools for LLMs.
The SQLite MCP Server transforms SQLite into a powerful, AI-ready database engine. It combines standard relational operations with advanced analytics, text and vector search, geospatial capabilities, and intelligent workflow automation. By layering business intelligence tools, semantic resources, and guided prompts on top of SQLite, it enables both developers and AI assistants to interact with data more naturally and effectively.
Advanced SimpleCheckList with MCP server and SQLite database for comprehensive task management.
Features:
• Complete project and task management system
• Hierarchical organization (Projects → Groups → Task Lists → Tasks → Subtasks)
• SQLite database for data persistence
• RESTful API with comprehensive endpoints
• MCP protocol compliance for AI assistant integration
• Docker-optimized deployment with stability improvements
**v1.0.1 Update**: Enhanced Docker stability with improved container lifecycle management.
Default mode optimized for containerized deployment with reliable startup and shutdown processes.
Perfect for AI assistants managing complex project workflows and task hierarchies.
A Model Context Protocol server for retrieving and analyzing issues from Sentry.io. This server provides tools to inspect error reports, stacktraces, and other debugging information from your Sentry account.
The SchemaCrawler AI MCP Server enables natural language interaction with your database schema using an MCP client in "Agent" mode. It allows users to explore tables, columns, foreign keys, triggers, stored procedures and more simply by asking questions like "Explain the code for the interest calculation stored procedure". You can also ask it to help with SQL, since it knows your schema. This is ideal for developers, DBAs, and data analysts who want to streamline schema comprehension and query development without diving into dense documentation.
The Rust MCP Filesystem is a high-performance, asynchronous, and lightweight Model Context Protocol (MCP) server built in Rust for secure and efficient filesystem operations. Designed with security in mind, it operates in read-only mode by default and restricts clients from updating allowed directories via MCP Roots unless explicitly enabled, ensuring robust protection against unauthorized access. Leveraging asynchronous I/O, it delivers blazingly fast performance with a minimal resource footprint.
Optimized for token efficiency, the Rust MCP Filesystem enables large language models (LLMs) to precisely target searches and edits within specific sections of large files and restrict operations by file size range, making it ideal for efficient file exploration, automation, and system integration.
Ref powerful search tool connets your coding tools with documentation context. It includes an up-to-date index of public documentation and it can ingest your private documentation (eg. GitHub repos, PDFs) as well.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Repo stars0
Repo updatedUnknown
docker run -i --rm ghcr.io/jpicklyk/task-orchestratorDetails
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Score100
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Repo stars0
Repo updatedUnknown
docker run -i --rm mayurkakade/mcp-server:latestDetails
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Repo stars0
Repo updatedUnknown
docker run -i --rm mcp/securenote-link-mcp-serverDetails
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Score
100
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Score100
How is this score calculated?
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.
Review the upstream source before running this command.
Weighted across six dimensions, scored 0-100.
Provenance (25): listed in an official or curated registry.
Installability (25): a runnable install command beats a declared transport, which beats a source checkout.
Maintenance (20): recency of the last push; archived entries score zero here.
Adoption (20): repository stars on a log curve.
Documentation (10) and description quality (10): parsed manifest or SKILL.md frontmatter, and a real description rather than a placeholder.
Dimensions a source cannot supply — registries publish no stars or license — are excluded from the entry's own average instead of counted as zero, so entries stay comparable across sources.
Security signals subtract up to 20. Scores are recomputed on every daily ingest.