Penfield

Everything you need to get started with Penfield®

Penfield® works with any AI that supports theMCPstandard.

See theGitHub repofor complete setup instructions.

See ouronboarding guidesfor platform-specific instructions.

{ "mcpServers": { "Penfield": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.penfield.app/"] } } }

See ouronboarding guidesfor platform-specific instructions.

Detailed Penfield® API documentation is available onGitHub.

Have questions or need support? Email us at[](https://penfield.app/cdn-cgi/l/email-protection#15666065657a67615565707b737c7079713b746565)<<<[email protected]. Paid plans include priority support with faster response times.

Remote MCP for commodities research — knowledge graph, COT positioning, natural gas storage/weather, futures quotes, and private stories/journals. Requires Arc Research Starter + bearer token.

A task management system for LLM agents to manage projects, tasks, and knowledge using a Neo4j database for complex workflow automation.

Persistent knowledge graph MCP server that gives AI agents shared memory across sessions and providers. Stores facts, decisions, entities, and events with typed relationships.

MCP memory server that builds a knowledge graph as you capture thoughts. 16 tools. Self-hostable.

Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory

NVIDIA AI Developer Stack as Compressed Knowledge Graph (CKG) - 20 domains, 998 notes, agents traverse typed dependency edges instead of scanning docs.

MCP server for live NFL and fantasy football data, powered by gamedai Scout: player grades, start/sit calls, and a grounded football knowledge graph.

Mines git history for file co-change patterns into a queryable knowledge graph via MCP.

Query a hybrid graph (Neo4j) and vector (Qdrant) database for powerful semantic and graph-based document retrieval.