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    Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.
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    AGPL 3.0
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    Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.
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    AGPL 3.0
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    A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.
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    MIT
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    Enables AI assistants to interact with the IIIT Hyderabad Mess Management System through natural language, allowing students to view menus, manage meal registrations, check bills, submit feedback, and configure preferences.
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    MIT
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    A simple Model Context Protocol server that provides real-time weather data to AI agents like GitHub Copilot, allowing users to get current weather information for any city through natural language queries.
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    MIT
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    Provides educational US market analysis by combining exchange rates, stock snapshots, and five famous investor perspectives (Buffett, Graham, Lynch, Dalio, Wood) to generate watchlist ideas, reasoning, risks, and follow-up checks.
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    MIT
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    A comprehensive MCP server for Less Annoying CRM providing 87 tools for contacts, pipelines, tasks, events, notes, emails, files, and more.
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    MIT
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    Enables AI assistants like Claude or ChatGPT to query OpenRouter's 300+ models for pricing, context length, capabilities, and rankings through tools such as model-card, compare-models, cheapest-for, cost-estimator, and usage-rankings, using a public, key-less API with 6-hour caching.
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    MIT
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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
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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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    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