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    Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.
    7
    999 npm
    7
    MIT
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    Enables AI agents to subscribe to a deterministic daily ethics feed drawn from a four-module curriculum and retrieve read-only tools, resources, and reflection prompts covering principles, case studies, and codes of conduct.
    10
    MIT
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    Enables AI clients to search and read a folder of Markdown/text documents via a read-only MCP server with hybrid BM25 and local embedding search, treating the calling model as untrusted.
    11 npm
    MIT
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    Lets AI agents browse and read a university's student resource center portal, retrieving the resource pages for a given admission year and department along with progression and graduation requirements, student handbook sections, academic calendars, bus timetables, class advisors, application forms and manuals, and contact information, each answer cited with its source document and page. It is an unofficial tool that runs locally and drives Chrome or Edge to access the portal on the user's behalf.
    4
    MIT
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    Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.
    3
    MIT
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    Enables AI agents to search IETF RFCs, inspect obsolescence status, list section headings, and read only relevant sections with clean text. It helps agents avoid citing superseded specifications while reducing context usage.
    3
    2
    MIT
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    A read-only MCP server for ServiceNow that provides deep visibility across multiple instances via query, schema inspection, identity, workflow, and code search tools.
    1
    67 npm
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    Exposes an internal engineering knowledge base to AI assistants, allowing users to search and retrieve standards, runbooks, and architecture decisions. It supports RAG-enhanced search, document scraping, and specialized prompts for incident investigation and code reviews.
    5
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    Gemmein is the backend for AI-powered products: sign-in, data under seven access rules, AI tools priced in credits, and payments through Stripe, a relay, or RevenueCat. The @gemmein/mcp server gives a coding agent that whole contract as tools: the builder guide, the SDK reference, doc search, rule and error explainers, and check_integration, a live check of an app's access boundaries.
    9
    MIT
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    The Sendchamp MCP server gives AI coding agents read-only access to search and retrieve accurate Sendchamp API documentation, schemas, and integration guides. It currently covers SMS, OTP verification, authentication, wallet balance, and Africa-specific routing guidance.
    2
    MIT
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    Version-accurate library docs for coding agents, with a supply-chain check of every dependency they add: known advisories, malware records, lookalike names and versions that do not exist. Runs locally over stdio with npx -y pinright; no account or API key.
    6
    539 npm
    4
    MIT
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    Gives an AI agent a database's tables, columns, value lists, null shares and joins from a dbprint snapshot committed to your repo, with no database connection or credentials. Tools list and search tables and columns, render prompt-ready context for a table, resolve a filter value to its stored spelling, and report what changed since the last snapshot.
    7
    191 PyPI
    4
    Apache 2.0
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    MCP server for the Point Knowledge API that enables AI coding assistants to search and retrieve curated technical documentation (RFCs, framework docs, etc.) with hybrid search and precise citations.
    5
    MIT
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    A Model Context Protocol server for querying and reading articles from a how-to documentation portal, with search and retrieval tools scoped to the token's user permissions.
    3
    7 npm
    Apache 2.0
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    Enables precise extraction of PDF content, including text coordinates, vector shapes, images, and on-demand raster rendering, for use cases like reconstructing design files.
    3
    11 npm
    MIT