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    Self-hosted Fresha API and MCP server in Python: 17 Fresha tools for appointments, clients, services, team and reviews, on the session of your own Chrome. Personal use.
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    PolyForm Noncommercial 1.0.0
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    Data freshness verification for AI agents. Probes endpoints for HTTP cache staleness, latency percentiles, content fingerprinting, TLS certificate health, DNS timing, and redirect chains. Returns deterministic FRESH/STALE/UNKNOWN JSON verdicts with policy evaluation and NIST AI RMF mapping.
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    MIT
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    Enables agents to fuzzy-screen person and company names against the OFAC SDN/Consolidated, EU, UK and UN sanctions lists downloaded fresh from official sources, returning potential-match statuses, 0–100 scores and listing details via a billed screening tool, plus a free local tool that lists covered sources, score scale and disclaimer.
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    MIT
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    Real-time web intelligence with freshness timestamps. Every extraction returns a dated envelope so AI agents know exactly how old the data is. Covers GitHub, HN, Scholar, arXiv, YC, jobs, finance, and package trends.
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    141 npm
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    MIT
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    Enables AI models to perform IT service management operations on Freshservice, including managing tickets, changes, problems, releases, assets, projects, and more through a set of MCP tools.
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    MIT
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    Verified, version-pinned records of new dependency bugs. When your coding agent hits an error it cannot fix in one try, it looks the error up here before searching the web: on 56 fresh bugs it said correctly whether the bug was known or fixed 91% of the time with Cairn, 68% without. Read-only by default. Benchmark and data (CC BY 4.0): https://cairncommons.dev/benchmark
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    Enables AI agents to look up Ahrefs Domain Rating (0–100) for one or more domains or URLs through a single get_dr tool, using a local getdr binary or a remote getdr server, with support for DR version selection and cache-bypassing fresh fetches.
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    455 npm
    MIT
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    Enables AI agents to interact with Freshdesk, supporting ticket management, customer and company operations, agent lookup, and knowledge base search through natural language.
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    MIT
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    Enables every coding agent session, on every machine you use, to share one permanent word-for-word memory that is folded into a binary tree of one-line summaries, so a fresh session can read the whole history in a fixed-size view and zoom into any line down to the original message. Summaries are produced by your own agents through the server's compaction tools, with no model or API key required, and machines synchronize through a shared folder without any central owner.
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    Exposes a single authenticated MCP endpoint that federates to agents running on your own machines, letting you delegate coding jobs to be worked in fresh git worktrees and pushed to a branch, or proxy the stdio MCP servers installed there as tools. Agents dial out through a Cloudflare Tunnel and enforce your local policy, so no inbound ports are opened.
    Apache 2.0
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    Enables Alexa+ users to rescue expiring pantry items by planning high-protein meals, comparing and arbitraging grocery carts across Amazon Fresh, Whole Foods, and a local co-op, mutating dietary constraints mid-session, and checking out through five stateful MCP tools exposed over a Streamable HTTP transport. It also returns interactive MCP Apps UI cards so users can swap meals, filter dietary needs, and complete orders in a single tap.
    MIT
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    MCP server that serves fresh, attributed facts from a Coalent semantic cache, automatically invalidating when underlying sources change, for use with Claude Code, Cursor, and other MCP clients.
    33 PyPI
    12
    Apache 2.0
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    Enables browsing an AI agent marketplace, viewing profiles and listings, and performing network actions such as matching, escrow, and subscriptions through the Zetto network.
    12 npm
    MIT
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    Provides standardized MCP interfaces for Azure services including Cosmos DB operations (container and item management) and AI Search operations (index management), deployed through Azure API Management gateway.
    MIT
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    Gives Alexa+ persistent, structured memory of a household kitchen: tracking purchased groceries, flagging items at risk of spoiling, proposing rescue meals from expiring ingredients, and maintaining shopping lists, receipt ingestion, and waste reports through MCP tool calls. Storage, tool logic, and safety controls (consent gates, two-step deletion, rate limiting) are exposed over Streamable HTTP for any MCP client.
    MIT
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    Enables AI agents and RAG pipelines to retrieve live Notion content alongside local vector and BM25 indices, fusing results with Reciprocal Rank Fusion to provide fresh, provenance-aware context.
    MIT
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    Provides AI assistants with structured access to the Freshdesk customer support platform, including tickets, contacts, companies, agents, groups, knowledge base, and SLA configuration. Features decision-tree navigation and destructive-action guardrails.
    280 npm
    MIT