Arc Research

by Unknown

Not rated
Website

About

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.

Details

Author
Unknown
Categories
Finance, Knowledge Base, Other

A remote Model Context Protocol server that gives your agent live access to Arc Research data — without copying reports into the prompt by hand.

Authentication & setupTool referenceGenerate a token

Arc Research exposes Streamable HTTP MCP at/mcp. Clients authenticate with a personal bearer token. Access is included withArc Research Starter.

Tools are thin adapters over the same services that power the web app: the knowledge graph, commodity hubs, CFTC positioning, natural gas storage and weather, plus your private stories and journal entries.

Full client snippets live on theauthentication page.

- Knowledge graph — search concepts, inspect neighborhoods, and explain paths between themes.
- Market data — resolve commodities and tickers, futures quotes, pinned hubs.
- COT positioning — latest CFTC snapshots, week-over-week flows, oscillators, and published briefs.
- Natural gas & weather — EIA storage, NOAA degree days, GFS/ECMWF demand forecasts.
- Stories & journals — list, read, semantically search, and append entries to your theses.

Listing metadata for the officialMCP Registryuses the namecom.getarcresearch/arc-research(seeserver.json). Publishing steps:remote serversanddomain authentication.

Stores conversations, connects ideas, remembers context: a knowledge graph for your AI assistants

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

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

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.

A knowledge graph-driven persistent memory layer for coding agents and LLM workflows.

Connects to Neo4j graph databases with ability to use GDS functions ( when available), a read only mode , and set the sample size for schema detection

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.