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    Search 47,000+ marketing agencies and get AI-matched with fitted agencies, from Pick an Agency.
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    MIT
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    Enables local AI inference using Ollama and open-weight models, designed for offline operation in low-connectivity environments.
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    185 PyPI
    MIT
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    Real-time hydrological information retrieval service that provides water level, precipitation, dam discharge data, and observatory location information.
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    Apache 2.0
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    Enables AI agents and MCP clients to drive real Chrome, Edge, Brave, and Firefox browsers through native automation protocols. It exposes tools for navigation, page snapshots, form filling, clicks, screenshots, console/network inspection, and tab management.
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    MIT
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    Enables freelancers to create, store, render, and manage service agreements with scope, deliverables, rate, termination, liability, and signature blocks, including a before-send checklist and clause library.
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    46 npm
    MIT
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    MCP server that tells AI assistants when a Mercedes-Benz is due for Service A or B, explains what each service covers, gives cautious guidance on common warning lights, and shares contact details for SilberArrows, an independent Mercedes-Benz specialist in Al Quoz, Dubai.
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    10 npm
    MIT
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    Enables AI agents to build and structurally validate Indian GST e-invoice JSON payloads (INV/CRN/DBN) and render IRP-returned signed QR strings as PNG images.
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    Apache 2.0
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    Give any LLM agent a real Android or iPhone. 62 MCP tools: tap, swipe, type, screenshot, screen-tree reading, app launch, camera, TTS, crash reports, batched execution. Android via ADB, iPhone via WebDriverAgent, on-device inference, Docker+KVM emulators. Works with Claude Code, Cursor, LangChain, LlamaIndex, and any MCP client. MIT.
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    111 PyPI
    413
    MIT
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    Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.
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    MIT
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    Navigator for BPC Agentic Procurement, providing tools for submitting RFQs, checking status, requesting terms, and escalating to a human.
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    Enables multi-account email management with AI-powered monitoring, intelligent filtering, and automated notifications across multiple platforms including Gmail, Outlook, QQ Mail, and 163 Mail.
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    MIT
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    A Model Context Protocol service for comprehensive email management that supports multiple email providers, with complete functionality for viewing, organizing, and batch processing emails.
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    Enables agents to optimize context-window attention by reordering retrieved documents so critical evidence lands at prompt boundaries, mitigating lost-in-the-middle degradation. It combines BM25 lexical scoring, dense vector similarity, reciprocal rank fusion, knowledge-graph expansion, and recency-decay memory caching, exposed as a zero-dependency MCP stdio server.
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    MIT
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    Real-time Amazon Sponsored Products (SP) ad placements, keyword tracking, and comprehensive review data for AI Agents. Enables LLMs to autonomously conduct competitor ad audits, consumer sentiment analysis (VOC), and product optimization.
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    MIT
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    Provides AI clients with deterministic lookup and cross-walk tools for 1,460+ public-sector contracting references, covering FAR/DFARS, SBA set-asides, NAICS/PSC/NIGP codes, procurement portals, glossary terms, and capture playbooks.
    760 npm
    MIT
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    Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g
    MIT
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    Self-hosted governance layer between an AI assistant and your data: allow/deny policy, deterministic PII masking, row caps, and a hash-chained audit log with an Ed25519-signed receipt for every access, verifiable offline.
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    1,216 npm
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    MIT
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    Per-unit cost of 13 back-office tasks done by a person vs by software, in the US, Greece and Ukraine, with an official statistic behind every hourly wage. Bundled data, works offline.
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    46 npm
    MIT