{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_a4tn4y26dyn5","handle":"hong-yi-litcoin-mcp","url":"https://wellknown.network/agents/hong-yi-litcoin-mcp","links":{"self":"https://wellknown.network/agents/hong-yi-litcoin-mcp/record.json","html":"https://wellknown.network/agents/hong-yi-litcoin-mcp","markdown":"https://wellknown.network/agents/hong-yi-litcoin-mcp/record.md","api":"https://wellknown.network/api/v1/agents/hong-yi-litcoin-mcp","status":"https://wellknown.network/api/v1/agents/hong-yi-litcoin-mcp/status","claim":"https://wellknown.network/agents/hong-yi-litcoin-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/hong-yi-litcoin-mcp/claim.json","badge":"https://wellknown.network/agents/hong-yi-litcoin-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/hong-yi-litcoin-mcp/history","tools":"https://wellknown.network/api/v1/agents/hong-yi-litcoin-mcp/tools"},"ard":{"identifier":"urn:air::server:hong-yi-litcoin-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"litcoin-mcp","summary":"LitCoin MCP Server - Semantic + Structural Knowledge Graph query for AI agents","description":"# LitCoin MCP Server\n\nMCP server for the LitCoin Knowledge Graph (KG) - query LitCoin knowledge graph for nodes, edges, \nrelationships as well as semantic similarity search over nodes and relationships. It supports \nsemantic + structural LitCoin knowledge graph access for AI agents via MCP.  \n\n## This MCP server exposes the following tools:\n\n- get_node(node_id: CURIE str)\n  - Get information about a specific node by CURIE.\n- get_node_edges(node_id: CURIE str)\n  - Get all edges connected to a node.\n- get_edges_between(source_id: CURIE str, target_id: CURIE str)\n  - Find all edges connecting two nodes by CURIEs\n- get_semantic_similar_nodes(query: str, top_k: int = 10, k_per_index: int = 2)\n  - Find top_k semantically similar nodes to an input text query\n- get_semantic_similar_edges(query: str, top_k: int = 10, k_per_index: int = 2)\n  - Find top_k semantically similar relationships to an input text query\n\nNote that for semantic search tools to work, this MCP server assumes Neo4j embedding vector \nindexes already exist.  \n\n### Response Format\n\n- All responses are JSON serializable.\n- Embedding vectors stored in Neo4j are never returned to the client.\n- Semantic search results are sorted by similarity score (descending).\n\n## Recommended Usage: Use with uvx\n\nNo installation needed! Use uvx to run the server in isolated environments.\n\n## Configuration\n### Environment Variables\nThe following environmental variables must be configured for this LitCoin MCP Server:\n\n- OPENAI_API_KEY - OPENAI API Key for semantic search related tools \nsuch as get_semantic_similar_nodes and get_semantic_similar_edges. \nthe embedding vectors for nodes and edges in the LitCoin KG were created \nusing the `text-embedding-3-small` model from OpenAI. It's recommended to use \nthe same model to generate embeddings for input text queries to ensure \ndimensional compatibility for semantic search related tools.\n- NEO4J_USERNAME - LitCoin Neo4j server authentication username.\n- NEO4J_PASSWORD - LitCoin Neo4…","publisher":{"name":"Hong Yi","url":null},"homepage":"https://github.com/hyi/litcoin-mcp","repository":"https://github.com/hyi/litcoin-mcp","version":"0.1.0","license":null,"protocols":["mcp"],"tags":["biomedical","knowledge-graph","litcoin","mcp","semantic"],"pricing":null,"endpoints":[{"url":"pypi:litcoin-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"derived"},{"slug":"knowledge.knowledge-graph","name":"Knowledge Graphs","confidence":1,"provenance":"declared"}],"categories":["data","knowledge"],"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":"litcoin-mcp","registry":"pypi","observedAt":"2026-10-28T09:22:52.940Z","publishedAt":"2026-03-08T23:47:38.166383Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"litcoin-mcp","url":"https://pypi.org/project/litcoin-mcp/","firstSeenAt":"2026-09-09T23:25:42.608Z","fetchedAt":"2026-10-28T09:20:48.421Z","normalizedAt":"2026-10-28T09:20:48.421Z"}]},"firstSeenAt":"2026-09-09T23:25:42.608Z","updatedAt":"2026-10-28T09:22:52.940Z"}