{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_xefq7avppnn2","handle":"iflow-mcp-sui-mcp-server","url":"https://wellknown.network/agents/iflow-mcp-sui-mcp-server","links":{"self":"https://wellknown.network/agents/iflow-mcp-sui-mcp-server/record.json","html":"https://wellknown.network/agents/iflow-mcp-sui-mcp-server","markdown":"https://wellknown.network/agents/iflow-mcp-sui-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-sui-mcp-server","status":"https://wellknown.network/api/v1/agents/iflow-mcp-sui-mcp-server/status","claim":"https://wellknown.network/agents/iflow-mcp-sui-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-sui-mcp-server/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-sui-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-sui-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-sui-mcp-server/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-sui-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_sui-mcp-server","summary":"MCP RAG Server with FAISS vector database for Move files","description":"# MCP Server with FAISS for RAG\n\nThis project provides a proof-of-concept implementation of a Machine Conversation Protocol (MCP) server that allows an AI agent to query a vector database and retrieve relevant documents for Retrieval-Augmented Generation (RAG).\n\n## Features\n\n- FastAPI server with MCP endpoints\n- FAISS vector database integration\n- Document chunking and embedding\n- GitHub Move file extraction and processing\n- LLM integration for complete RAG workflow\n- Simple client example\n- Sample documents\n\n## Installation\n\n### Using pipx (Recommended)\n\n[pipx](https://pypa.github.io/pipx/) is a tool to help you install and run Python applications in isolated environments.\n\n1. First, install pipx if you don't have it:\n\n```bash\n# On macOS\nbrew install pipx\npipx ensurepath\n\n# On Ubuntu/Debian\nsudo apt update\nsudo apt install python3-pip python3-venv\npython3 -m pip install --user pipx\npython3 -m pipx ensurepath\n\n# On Windows with pip\npip install pipx\npipx ensurepath\n```\n\n2. Install the MCP Server package directly from the project directory:\n\n```bash\n# Navigate to the directory containing the mcp_server folder\ncd /path/to/mcp-server-project\n\n# Install in editable mode\npipx install -e .\n```\n\n3. (Optional) Configure environment variables:\n   - Copy `.env.example` to `.env` \n   - Add your GitHub token for higher rate limits: `GITHUB_TOKEN=your_token_here`\n   - Add your OpenAI or other LLM API key for RAG integration: `OPENAI_API_KEY=your_key_here`\n\n### Manual Installation\n\nIf you prefer not to use pipx:\n\n1. Clone the repository\n2. Install dependencies:\n\n```bash\ncd mcp_server\npip install -r requirements.txt\n```\n\n## Usage with pipx\n\nAfter installing with pipx, you'll have access to the following commands:\n\n### Downloading Move Files from GitHub\n\n```bash\n# Download Move files with default settings\nmcp-download --query \"use sui\" --output-dir docs/move_files\n\n# Download with more options\nmcp-download --query \"module sui::coin\" --max-results 50 --new-index --verbose\n```\n\n### I…","publisher":{"name":"MCP RAG Team","url":null},"homepage":null,"repository":null,"version":"0.1.0","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_sui-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.859,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":0.825,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.802,"provenance":"derived"},{"slug":"data.database","name":"Databases","confidence":0.791,"provenance":"derived"},{"slug":"data.vector-search","name":"Vector Search","confidence":0.745,"provenance":"derived"}],"categories":["data","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_sui-mcp-server","registry":"pypi","observedAt":"2026-09-15T20:21:26.044Z","publishedAt":"2025-11-27T06:02:01.722412Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_sui-mcp-server","url":"https://pypi.org/project/iflow-mcp_sui-mcp-server/","firstSeenAt":"2026-09-09T21:24:10.678Z","fetchedAt":"2026-09-15T20:19:53.795Z","normalizedAt":"2026-09-15T20:19:53.795Z"}]},"firstSeenAt":"2026-09-09T21:24:10.678Z","updatedAt":"2026-09-15T20:21:26.044Z"}