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    Lens-MCP is a read-only Postgres MCP server that lets AI agents inspect and query approved database data safely.
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    4
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    MIT
  • A
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    Acts as a proxy/router for multiple downstream MCP servers, exposing only meta-tools to the host to reduce token usage, enabling efficient search and invocation of tools from a fleet of servers.
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    MIT
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    A 100% local development monitoring tool that captures browser console logs, network requests, and backend server output for analysis by AI assistants via MCP. It enables LLMs to debug applications by providing structured, real-time access to full-stack log data and persistent local storage.
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    MIT
  • A
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    An MCP server that provides a flexible lens into directory structures and files, enabling LLM clients to efficiently navigate and understand codebases with minimal noise. It offers secure, gitignore-aware file access with tools like directory listing, file reading, and grep-like search.
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    MIT
  • A
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    Securely connect AI assistants to PostgreSQL databases with read-only access, schema discovery, querying, and performance analysis tools.
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    MIT
  • A
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    Provides AI agents with deep visibility into a running web page's UI by capturing DOM, styles, and screenshots through a lightweight bookmarklet. It facilitates design-to-code comparisons, accessibility audits, and automated CSS debugging directly within an IDE.
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    MIT
  • A
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    Scores MCP servers for launch-readiness across trust, tool UX, docs, observability, marketplace fit, and partner narrative, and generates partner briefs and launch path comparisons.
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    MIT
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    Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)
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    Apache 2.0
  • A
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    MCP server providing embedded Lenis smooth scroll expertise to AI assistants, enabling setup generation, API reference, debugging, scroll patterns, and performance optimization without network requests.
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    5
    MIT
  • A
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    Enables AI assistants to present interactive choices to users via browser popups, supporting single and multiple selections with optional custom input.
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    MIT
  • A
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    MCP server for analyzing Perl code with Perl::Critic, enabling code quality checks via both file paths and direct code input.
    Last updated
    MIT