6380 Model Context Protocol servers — searchable, rated, ready to install.
Non-invasive AI Agent monitoring — audit every API call to Shopify, Meta Ads, and more
Code intelligence MCP server — impact analysis, semantic search, dependency graphs
MCP server for Jira — search, create, update, transition issues, manage projects, boards, and spr...
MCP server for Sentry — error tracking, issues, releases, events, and projects for AI assistants.
Visual regression & snapshot testing for AI agents — list runs, read semantic diffs, review.
No-code app builder: manage your GoodBarber app, shop, community, bookings, content. MCP 2026-07-28.
MCP server for enterprise local codebase indexing, semantic search, and code dependency graphs.
Karma economy for AI agents. Community attestations, on-chain reputation on Arbitrum.
Look up Indian HSN and GST codes by description or product name (4,676 entries).
Indexed C/C++ code navigation for AI agents — GNU Global (gtags) lookups over MCP, not grep scans.
Codebase intelligence for AI coding agents — graph, git history, docs, decisions, code health.
Validate EU e-invoices (Peppol, XRechnung, Factur-X, UBL, CII) and explain error codes.
Japan market intelligence — 22 MCP tools, 10 government/exchange data sources
Execute code in isolated cloud containers. Supports Python, JavaScript, Bash, and Go.
Unicode text styling and ASCII art generation with 23 styles and 322+ figlet fonts
Security audit for AI agents — scan code/diffs for leaked secrets, check deps via OSV.
Find GitHub implementations of arXiv research papers — paper lookup, ranked code, search.
Gemini-powered MCP server for code analysis.
A sample MCP server using the MCP C# SDK. Generates random numbers and random weather.
Model Context Protocol (MCP) server to execute aider-specific code editing operations
Secrets vault for Claude Code with audit logs, access rules, and AES-256 encryption.
Improve or correct developer writing, or turn rough notes into technical specs, from your agent.
Semantic code intelligence — call graphs, dependencies, impact analysis, and test coverage.
Registry of Python AI/ML libraries: correct imports, quickstart code, and known footguns.
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