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    Enables scanning diffs or code blobs for leaked secrets, returning a verdict with severity and masked findings, all processed locally with no data sent externally.
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables secure credential storage for AI agents by encrypting secrets and providing agent-invisible references, ensuring sensitive data never leaks to the model.
    MIT
  • A
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    quality
    A
    maintenance
    MCP server for one-time secret sharing, enabling AI agents to securely claim and store secrets (e.g., API keys) via claim codes without exposing them in chat transcripts.
    6
    MIT
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    B
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    A local-first MCP server that lets AI agents use gated APIs without holding keys, enforcing declarative policies, injecting secrets server-side, and auditing access without content.
    2
    Apache 2.0
  • F
    license
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    B
    maintenance
    MCP server for end-to-end encrypted secret storage and retrieval, enabling LLM agents to fetch secrets by name via one-time URLs while keeping plaintext out of model context and logs.
    1
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    C
    maintenance
    An MCP server that answers one question well: 'has this JSON changed since I last saw it?'
    MIT
  • A
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    Not graded
    quality
    F
    maintenance
    Provides AI agents with real-time cognitive health monitoring, detecting context rot through token utilization, retrieval accuracy, and session fatigue analysis.
    47
    13
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Provides deterministic tools for transforming, formatting, and inspecting structured data for AI agents.
    5
    19
    Apache 2.0
  • A
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    Not graded
    quality
    B
    maintenance
    Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.
    AGPL 3.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    A local Model Context Protocol (MCP) server that exposes custom tools to Claude Desktop, enabling direct interaction with your local environment. It provides a framework for building and integrating custom TypeScript tools into the Claude interface.
    10
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.
    42
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that exposes 43 domain tools behind 4 meta-tools, applying guardrails such as budgets, rate limits, schema validation, human-in-the-loop confirmation for mutations, PII redaction, and an append-only audit log while reducing context window usage.
    4
    MIT
  • A
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    quality
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    maintenance
    Five general-purpose stdio MCP servers for SEO: access to SERP, Wordstat, Google Search Console, Yandex.Webmaster and Yandex.Metrica straight from Claude Code (or any MCP client). All tools are read-only, output is strict JSON. Not tied to a specific site: defaults (GSC property, Webmaster host, Metrica counter) are configured on the fly.
    11
    3
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables generating JSON Schema from sample data, generating TypeScript types, validating data against schemas, creating mock data from schemas, and comparing schemas for differences.
    5
    53
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI assistants to search a curated database of 200+ AI tool cards with pricing, platforms, use cases, and source links, so users can ask which tool to use for a task and get grounded recommendations.
    1
    0
    1
    MIT
  • A
    license
    A
    quality
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    maintenance
    MCP server providing npm registry search, package details, dependency auditing, bundle size estimation, and package comparison tools for AI agents.
    5
    51
    MIT