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    Graph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.
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    16
    MIT
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    AI-powered code review tool that detects AI-generated code defects invisible to traditional linters — hallucinated packages, deprecated APIs, cross-file contradictions, hidden security anti-patterns, and over-engineering. Works as a standalone CLI, GitHub Action, or MCP server. Supports TypeScript, Python, Java, Go, and Kotlin. Free for individuals, no API key required.
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    A Model Context Protocol server that provides real-time database schema information to AI assistants, supporting both low-code system schema queries and traditional database metadata queries.
    4
    MIT
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    A mathematical expression calculator that processes user-input expressions and returns computed results, supporting basic operations and built-in constants like PI and E.
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    MIT
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    A comprehensive MCP server that provides AI assistants with tools for file system management, Git integration, and shell command execution. It features specialized code utilities for analysis, formatting, and linting to enhance development workflows within Claude Desktop.
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    MIT
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    Enables AI agents to perform semantic search over codebases by converting natural language queries into efficient search patterns like grep and ripgrep. It utilizes LLMs to verify relevance and find code snippets that traditional keyword-based searches might miss.
    1
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    Token-efficient code intelligence MCP server that indexes codebases with tree-sitter AST parsing and provides 150 tools for AI agents, using 61-95% fewer tokens than traditional grep/Read workflows.
    725
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    Business Source 1.1
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    An experimental MCP server demonstrating remote calls via FastAPI, supporting ping-pong commands through API endpoints and SSE transport.
    2
    MIT
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    AI-native PostgreSQL health checker with 26 MCP tools for query analysis, bloat detection, migration safety, and CI integration.
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    MIT
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    Cross-stack MCP server that scans frontend and backend code together, detects mismatches like phantom calls, dead endpoints, and field drift, and provides a full-stack health audit.
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    MIT
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    A graph-based MCP server that provides AI coding agents with persistent memory to store patterns, track complex relationships, and retrieve knowledge across sessions. It leverages graph structures to handle temporal queries and relational paths that traditional vector stores often miss.
    230
    MIT