{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_2tjcybp3ddhd","handle":"phytodata-mcp","url":"https://wellknown.network/agents/phytodata-mcp","links":{"self":"https://wellknown.network/agents/phytodata-mcp/record.json","html":"https://wellknown.network/agents/phytodata-mcp","markdown":"https://wellknown.network/agents/phytodata-mcp/record.md","api":"https://wellknown.network/api/v1/agents/phytodata-mcp","status":"https://wellknown.network/api/v1/agents/phytodata-mcp/status","claim":"https://wellknown.network/agents/phytodata-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/phytodata-mcp/claim.json","badge":"https://wellknown.network/agents/phytodata-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:phytodata-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"phytodata-mcp","summary":"MCP server providing LLMs with conversational access to plant genomics databases (PhytoMine, KEGG, Ensembl Plants, UniProt)","description":"# PhytoData-MCP\n\n<div align=\"center\">\n  <img src=\"logo.jpg\" alt=\"PhytoData-MCP Logo\" width=\"200\" />\n</div>\n\n> Standalone MCP Server for Plant Genomics\n\nPhytoData-MCP solves the problem of siloed plant genomics databases by exposing the four most important plant genomics databases as Model Context Protocol (MCP) tools. This allows LLMs (like Claude) to autonomously chain queries together and build a complete picture of a single gene's function, pathway membership, cross-species conservation, and protein behavior.\n\n![PyPI version](https://img.shields.io/pypi/v/phytodata-mcp)\n![Python](https://img.shields.io/pypi/pyversions/phytodata-mcp)\n![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)\n\n## Features\n\n- **PhytoMine (Phytozome):** Query GO terms, Pfam domains, and KO IDs for given genes.\n- **KEGG:** Look up pathways from KO IDs or EC numbers.\n- **Ensembl Plants:** Find orthologous genes across multiple crop species.\n- **UniProt (Upcoming):** Subcellular localization and protein domains.\n\n## Installation\n\nYou can install `phytodata-mcp` directly from python:\n\n```bash\npip install phytodata-mcp\n```\n\n### Development Installation\n\nTo install for development, with testing dependencies:\n\n```bash\ngit clone https://github.com/zaeyasa/phytodata-mcp.git\ncd phytodata-mcp\npip install -e .[dev]\n```\n\n## Claude Desktop Configuration\n\nAdd the server to your `claude_desktop_config.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"phytodata\": {\n      \"command\": \"phytodata-mcp\"\n    }\n  }\n}\n```\n\n## Usage Example\n\nOnce connected, you can ask Claude questions like:\n\n> *\"Fetch the gene info for AT3G24650 in Arabidopsis, identify its KEGG pathway, and find its orthologs in wheat and tomato.\"*\n\nThe LLM will automatically chain:\n1. `phytomine_gene_info` -> Retrieves KO ID\n2. `kegg_pathway_lookup` -> Uses KO ID to find pathways\n3. `ensembl_plants_orthologs` -> Matches gene across target crops\n\n## Tools Reference\n\n- **`phytomine_gene_info`**: Requires `gene_id` and `organism`.\n- **`kegg_…","publisher":null,"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["bioinformatics","ensembl","kegg","mcp","phytozome","plant-biology"],"pricing":null,"endpoints":[{"url":"pypi:phytodata-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.825,"provenance":"derived"},{"slug":"data.database","name":"Databases","confidence":0.791,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","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":"phytodata-mcp","registry":"pypi","observedAt":"2026-09-10T09:27:05.235Z","publishedAt":"2026-04-05T20:41:49.032950Z","latestVersion":"0.1.0"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"phytodata-mcp","url":"https://pypi.org/project/phytodata-mcp/","firstSeenAt":"2026-09-10T09:26:20.230Z","fetchedAt":"2026-09-10T09:26:20.230Z","normalizedAt":"2026-09-10T09:26:20.230Z"}]},"firstSeenAt":"2026-09-10T09:26:20.230Z","updatedAt":"2026-09-10T09:27:05.235Z"}