{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_aqvc3pcjmajr","handle":"iflow-mcp-mcp-vertexai-search","url":"https://wellknown.network/agents/iflow-mcp-mcp-vertexai-search","links":{"self":"https://wellknown.network/agents/iflow-mcp-mcp-vertexai-search/record.json","html":"https://wellknown.network/agents/iflow-mcp-mcp-vertexai-search","markdown":"https://wellknown.network/agents/iflow-mcp-mcp-vertexai-search/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-vertexai-search","status":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-vertexai-search/status","claim":"https://wellknown.network/agents/iflow-mcp-mcp-vertexai-search/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-mcp-vertexai-search/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-mcp-vertexai-search/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-vertexai-search/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-mcp-vertexai-search/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-mcp-vertexai-search","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_mcp-vertexai-search","summary":"A dbt artifacts parser in python","description":"# MCP Server for Vertex AI Search\n\nThis is a MCP server to search documents using Vertex AI.\n\n## Architecture\n\nThis solution uses Gemini with Vertex AI grounding to search documents using your private data.\nGrounding improves the quality of search results by grounding Gemini's responses in your data stored in Vertex AI Datastore.\nWe can integrate one or multiple Vertex AI data stores to the MCP server.\nFor more details on grounding, refer to [Vertex AI Grounding Documentation](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/ground-with-your-data).\n\n![Architecture](./docs/img//archirecture.png)\n\n## How to use\n\nThere are two ways to use this MCP server.\nIf you want to run this on Docker, the first approach would be good as Dockerfile is provided in the project.\n\n### 1. Clone the repository\n\n```shell\n# Clone the repository\ngit clone git@github.com:ubie-oss/mcp-vertexai-search.git\n\n# Create a virtual environment\nuv venv\n# Install the dependencies\nuv sync --all-extras\n\n# Check the command\nuv run mcp-vertexai-search\n```\n\n### Install the python package\n\nThe package isn't published to PyPI yet, but we can install it from the repository.\nWe need a config file derives from [config.yml.template](./config.yml.template) to run the MCP server, because the python package doesn't include the config template.\nPlease refer to [Appendix A: Config file](#appendix-a-config-file) for the details of the config file.\n\n```shell\n# Install the package\npip install git+https://github.com/ubie-oss/mcp-vertexai-search.git\n\n# Check the command\nmcp-vertexai-search --help\n```\n\n## Development\n\n### Prerequisites\n\n- [uv](https://docs.astral.sh/uv/getting-started/installation/)\n- Vertex AI data store\n  - Please look into [the official documentation about data stores](https://cloud.google.com/generative-ai-app-builder/docs/create-datastore-ingest) for more information\n\n### Set up Local Environment\n\n```shell\n# Optional: Install uv\npython -m pip install -r requirements.setup.txt\n\n# Create…","publisher":{"name":"ubie","url":null},"homepage":null,"repository":null,"version":"0.1.0","license":"Apache License Version 2.0, January 2004 http://www.apache.org/…","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_mcp-vertexai-search","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.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":1,"provenance":"derived"}],"categories":["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_mcp-vertexai-search","registry":"pypi","observedAt":"2026-09-15T19:23:15.220Z","publishedAt":"2025-11-20T03:40:23.301346Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_mcp-vertexai-search","url":"https://pypi.org/project/iflow-mcp_mcp-vertexai-search/","firstSeenAt":"2026-09-09T20:24:01.960Z","fetchedAt":"2026-09-15T19:21:37.250Z","normalizedAt":"2026-09-15T19:21:37.250Z"}]},"firstSeenAt":"2026-09-09T20:24:01.960Z","updatedAt":"2026-09-15T19:23:15.220Z"}